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Collection, as the first stage of the recycling process, and pre-processing to increase waste stream purity constitute key operations for achieving high recycling rates and a closed loop in the circular economy. For wastepaper recycling in Hong Kong, it is the semi-formal-informal recycling (SFIR) sector that plays a central role in both stages. This study analyses the so far little explored SFIR stakeholder network in Hong Kong and sheds light on value chains, recovered waste paper quantities and the impact of policies on the sector. The findings show that SFIR stakeholders reclaim 55.6 t/recycling station/month of wastepaper and thereby achieve about a 5.7 times higher reclaim rate than the formal-private recycling system. Critical to this achievement is the SFIR transaction network, which enables its stakeholders to develop a value chain and thereby generate an added value of around 1900 HKD (243.9 USD/t) for wastepaper. Given limited circular structures in Hong Kong, financial subsidies are critical to sustain the SFIR's operations over the short-term. However, over the long-term legalization and integration of its stakeholders are necessary to ensure an economically and socially sustainable wastepaper recovery system in Hong Kong. [Display omitted] • Qualitative & quantitative analysis of the semi-formal-informal recycling (SFIR) sector. • The SFIR's wastepaper value chain achieves a cumulative added value of 1900 HKD/t. • The SFIR recovered 5.7 times higher capacities than the formal system in 2021. • Financial support can enhance the SFIR sector's recovery capacities. [ABSTRACT FROM AUTHOR]

• This paper examined the relations between three managerial factors and multi-family dwelling recycling • Significant association was found between housing type and MFD recycling • No significant association was found between recycling mode and MFD recycling. • There was a significant association between initiative of property manager and MFD recycling. Solid waste is an acute environmental problem in most big cities around the world. Like other highly compact cities, Hong Kong developed a recycling program that primarily targets multi-family dwellings (MFDs). This paper intends to examine the relations between three managerial factors—housing type, recycling mode, and initiative of the property manager—and MFD recycling using data collected from a territory-wide telephone survey (n = 1,016) conducted in 2017. The results indicated that housing type and initiative of the property manager had significant relations with the recycling behavior of residents. The findings may supplement previous recycling studies and provide a reference for the improved implementation of the MFD recycling program in Hong Kong. [ABSTRACT FROM AUTHOR]

Abstract: How university students write from sources has been an issue of long-standing interest among researchers of advanced academic literacy. Previous research in this regard in the context of L2 writing has tended to focus on novices'' textual borrowing; less attention has been given to exploring the potential light that theories from other intellectual domains may shed upon students'' process of source-based academic writing. The study to be reported in this paper used activity theory as an analytic tool to examine three ESL students'' activities of fulfilling a policy paper assignment at a university in Hong Kong. In the paper I present a description of the activity system concerned and its internal contradictions, characterize the sequences of actions that constituted the individual students'' activities, and analyze the students'' source-use practices in terms of their efforts to address a set of source-bound systemic tensions. At the end of the paper I propose a few lines of future explorations using activity theory as a heuristic to study literacy activities in academic contexts. [Copyright &y& Elsevier]

• This paper portrays the waste generation flow (WGF) of 132 construction projects. • Different WGFs follow different S-curves, but are far from steady streams. • The peaks of waste generation rates differ across projects. • New building projects generate waste faster than demolition and foundation projects. Understanding waste generation flow is vital to any evidence-based effort by policy-makers and practitioners to successfully manage construction project waste. Previous research has found that accumulative waste generation in construction projects follows an S-curve, but improving our understanding of waste generation requires its investigation at a higher level of granularity. Such efforts, however, are often constrained by lack of quality "bigger" data, i.e. data that is bigger than normal small data. This research aims to provide an anatomy of waste generation flow in building projects by making use of a large set of data on waste generation in 19 demolition, 59 foundation, and 54 new building projects undertaken in Hong Kong between 2011 and 2019. We know that waste is generated in far from a steady stream as it is always impacted by contingent factors. However, we do find that peaks of waste generation in foundation projects appear when project duration is at 50–85%, and in new building projects at 40–70% of total project time. Our research provides useful information for waste managers in developing their waste management plans, arranging waste hauling logistics, and benchmarking waste management performance. [ABSTRACT FROM AUTHOR]

The current paper replicates findings related to the analytical heuristic of 'metalinguistic density'. It provides updated theoretical motivations for an analytical focus on explicit metalanguage in online text-based settings, based on notions of symbolic interactionism. An analysis of online user comment data of the 2019 Hong Kong protests reconfirms that the relative occurrence of metalanguage focusing on certain terms indicates the extent to which these terms' denotational norms are shared amongst a community of language users. While most terms in the corpus do not regularly attract explicit metalanguage, several terms thematically related to the protests did. This disproportionate metalinguistic attention may be explained by political disputes on the movement's legitimacy, which led to normative debates on the discursive representation of the protest movement. Finally, certain phrases had become indexical of a certain political position to the extent that they were the frequent target of irony. In general, the results suggests that 'metalinguistic density' is a useful heuristic to employ in text-analytical investigations that seek to explain participants' interpretations of discursive interactions. • 'Metalinguistic density' measures the sharedness of terms' denotations. • Results of earlier research are replicated in a thematically distinct dataset. • Metalanguage reflects ideological clashes over discursive representation. [ABSTRACT FROM AUTHOR]

Streets, vital for vehicular and pedestrian traffic, are increasingly repurposed to enhance urban vibrancy beyond transport needs. This paper explores intentional and spontaneous street experiments, drawing on Henri Lefebvre's rhythmanalysis. Streets are seen as hosts to intersecting rhythms shaped by daily routines and mobility, with users as performers in rhythmic interactions. While initially disruptive, these experiments strive to integrate innovative elements for cohesive urban compositions. Through a musical metaphor, the paper promotes a holistic approach to identifying rhythms influenced and introduced by street experiments. It examines how these rhythms interact, presenting as synchronised dynamics, disruptive discordance, or coexistence in dissonant compositions. Combining rhythmanalysis with spatial discourse analysis, the study 'reads' and 'listens' to temporary spaces through historical records (N = 55) of seven street experiments in Hong Kong from 2016 to 2020. Findings uncover the overly abstract agendas of these experiments — exemplified through narratives involving chairs, railings, and traffic signals — often oversimplify and exclude possibilities. The paper calls for open dialogue to capture power dynamics in street infrastructure and embodied lived experiences during the transition from vehicle-centred to people-oriented streets. It suggests rhythmanalysis as an initial tool for urban planners to envision streetscapes as symphonies, fostering sensitivity to time-space dynamics. [Display omitted] • Explore street spatial-temporal dynamics through Lefebvre's rhythmanalysis. • Conceptualise experiments, though disruptive, for innovative synchronicity. • Establish musical metaphors for open-ended rhythmanalysis. • Identify street rhythms and examine their interactions pre/post-experiment. • Encourage open dialogue over abstract, selective and exclusive agendas. [ABSTRACT FROM AUTHOR]

• This study compared drivers of the same ethnic group driving across within-country borders. • The existing theoretical framework of cross-border risky behavior patterns has been expanded. • Gender, age, illumination, and weather do not individually affect cross-border driving risk. • Conclusions are of representative reference value for cross-border risk management policies. Introduction: Due to globalization and the acceleration of cross-border exchanges, cross-border risk behaviors have received widespread attention. Previous research has concluded that foreign cross-border drivers engage in relatively more risk-taking behavior patterns and are likely to experience a higher crash rate or be more inclined to cause severe crashes. However, there is little evidence on the comparison of drivers who belong to the same ethnic group driving across within-country borders. Method : Based on the cross-border motor-vehicle crash reports in 2006–2010 from the Road Traffic Accident Database of the China Ministry of Public Security, this paper examines the risk factors of being at fault and getting killed or seriously injured in cross-border traffic crashes and casual paths toward crash liability and injury severity for Hong Kong and Macao drivers driving in the Chinese mainland. Results : There are extremely complex factors behind drivers from Hong Kong and Macao causing at-fault crashes or sustaining fatal and serious injuries in the Chinese mainland. Factors such as gender, age, illumination, and weather conditions do not individually affect the risk of driver at-fault crashes or severe casualties in the crashes among Hong Kong and Macao drivers driving in the Chinese mainland. Nonetheless, collectively, these factors influence them along with different vehicle types, roads, and environmental factors. Conclusion s: This paper provides more theoretical findings for understanding the compound effect of multiple risk factors involving cross-border at-fault crashes or serious casualties. The conclusions of this research are valuable as representative references for cross-border risk management policies. Practical applications : To reduce the effects of different factors on cross-border risky driving behaviors and/or injurious crashes, various measures should be focused on, including specialized driver training, enhancement of the roads/environment, development of effective road safety campaigns, and directives facilitating cross-border cooperation in the field of road safety. [ABSTRACT FROM AUTHOR]

Much recent work on transport and the economy has focused on 'Wider Economic Impacts' (WEIs) of infrastructure investment, the impacts other than time savings benefiting those actually using the transport network. Differential effects of transportation infrastructure by mode such as urban rail and road are relatively well known. However, impacts of other mode such as walking are scarce. This paper estimates wider economic impacts related to productivity from full rail, road and walking transport networks in Hong Kong in 2016. To the best of our knowledge, this is the first paper that makes use of complex network science indicators with spatial cognition-weighted accessibility combining full urban rail network, road network, and pedestrian network in capturing wider economic impacts. We use an instrumental variable approach to identify the causal effect of transport network centralities on productivity measured by gross value added. Our identification strategy largely relies on the exogenous variations from historical planned and existing transport networks. A first specification confirms the significance of urban rail and road. Specification with pedestrian network shows that pedestrian and rail networks can statistically significantly increase productivity in Hong Kong while roads play a less significant but still meaningful role. Our findings are robust to a variety of sensitivity tests such as using night-time light intensity and residential wage as alternative measures for productivity. The research suggests a key planning policy implication: place-based policies in a dense city require improvement in pedestrian and rail network structure that impacts local and global transport accessibility. [ABSTRACT FROM AUTHOR]

Using Hong Kong's smart city development as the case study, this paper aims to discover the influence of public trust on citizens' perception of Hong Kong's smart city performance in an international dimension, comparing with the smart city ranking by research agencies. Our central investigation further focuses on the association of public trust and digital trust, using COVID19 contact tracing app as an example. This paper uses data from a Hong Kong-based territory-wide survey in 2021 to conduct the analysis. The result suggests a positive relationship between public trust, subjective perception and digital trust, and supports that public acceptability is a cornerstone of an effective public policy. [ABSTRACT FROM AUTHOR]

Mapping of highly dynamic changes in land use and land cover (LULC) can be hindered by various cloudy conditions with optical satellite images. These conditions result in discontinuities in high-temporal-density LULC mapping. In this paper, we developed an integrated time series mapping method to enhance the LULC mapping accuracy and frequency in cloud-prone areas by incorporating spectral-indices-fused deep models and time series reconstruction techniques. The proposed method first reconstructed cloud-contaminated pixels through time series filtering, during which the cloud masks initialized by a deep model were refined and updated during the reconstruction process. Then, the reconstructed time series images were fed into a spectral-indices-fused deep model trained on samples collected worldwide for classification. Finally, post-classification processing, including spatio-temporal majority filtering and time series refinement considering land–water interactions, was conducted to enhance the LULC mapping accuracy and consistency. We applied the proposed method to the cloud- and rain-prone Pearl River Delta (i.e., Guangdong–Hong Kong–Macao Greater Bay Area, GBA) and used time series Sentinel-2 images as the experimental data. The proposed method enabled seamless LULC mapping at a temporal frequency of 2–5 days, and the production of 10 m resolution annual LULC products in the GBA. The assessment yielded a mean overall accuracy of 87.01% for annual mapping in the four consecutive years of 2019–2022 and outperformed existing mainstream LULC products, including ESA WorldCover (83.98%), Esri Land Cover (85.26%), and Google Dynamic World (85.06%). Our assessment also reveals significant variations in LULC mapping accuracies with different cloud masks, thus underscoring their critical role in time series LULC mapping. The proposed method has the potential to generate seamless and near real-time maps for other regions in the world by using deep models trained on datasets collected globally. This method can provide high-quality LULC data sets at different time intervals for various land and water dynamics in cloud- and rain-prone regions. Notwithstanding the difficulties of obtaining high-quality LULC maps in cloud-prone areas, this paper provides a novel approach for the mapping of LULC dynamics and the provision of reliable annual LULC products. • Novel LULC mapping via indices-fused deep models and time series reconstruction. • High-temporal-density 10 m seamless LULC mapping in cloudy and rainy areas (PRD). • Overall mapping accuracy yielded up to 87.01%, outperforming existing LULC products. • Potential to generate seamless near real-time maps and high-quality LULC data sets. [ABSTRACT FROM AUTHOR]

Urban morphology and spatial forms shape a city's character and user behavior, often embracing a particular type of people and unwelcoming other kinds of gender. City design policies and legislation have favored men since its beginning, affecting overall urban planning and design. While the world is delving into new techniques and methods to empower women, constraints in public space activities remain prevalent. This paper explores the scope of urban design strategies to catalyze women's social and physical inclusion in these spaces. It presents a systematic approach to identifying women's social roles during the use of public spaces and introduces the 'GenUrban: Shaping Cities for All Genders' framework to guide researchers and designers alike promote inclusive urban design and planning. The investigation, in the central area of Hong Kong, focuses on the cultural landscape created by the women-centric 'Foreign Domestic Helpers' community. A desktop literature review, direct observation of public spaces, and in-depth interviews with a focus group of women in the city's heart established and mapped the marginalized users' collective viewpoint and their appropriation of space. The framework can be used by professionals to transform urban spaces through a gender lens to improve the overall quality of public spaces and make them more inclusive and accessible. The paper generates gender-sensitive urban design principles that can be translated for planners to use for various user groups and contexts. When women become key drivers in activating public space, they are given back their right to the city. • Women's traveling patterns are frequent due to their caregiving responsibilities. • The unique cultural landscape of a city creates gender-centered activities. • Integrating gender-specific features ensures urban spaces cater to women's needs. • Reliable public transport is vital for women's mobility and engagement in city life. • A city catering to women tends to accommodate those they care for. [ABSTRACT FROM AUTHOR]

The integration of business flow status updates creates a framework for dynamically evaluating operation and maintenance activities, and that assessment is an essential component of achieving intelligent management and control. Highway managers have relied on the operation and maintenance system to integrate business initiatives that improve performance at the organizational and individual levels recently. There are a few studies considering the actual accident or road infrastructure to improve the quality of the highway, but they ignore the power of operation and maintenance (O&M) management involving multiple parties. Furthermore, there is no comprehensive scale to measure the effect of implementing management measures. Therefore, this paper aims to develop a comprehensive multidimensional evaluation framework that considers the integration of the actual business and the objective environment from four aspects: worker, equipment, environment, and management measures. The proposed framework evaluates the current O&M performance with the improved Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) model, which is used to interpret the comprehensive index results, and highlights the differences and variations of the factors that influence the evaluation results based on the deconstruction analysis. We utilize a mixed dataset of the Hong Kong-Zhuhai-Macao Bridge (HZMB) for two consecutive years to evaluate the performance of each month. The results show that the evaluation framework can effectively measure the O&M performance, and "Worker- Quality of daily inspection work" was identified as the most critical factor affecting the O&M performance. In particular, a comprehensive multiparty operational status assessment helps to review and revise current management strategies for targeted improvements that will enhance the safety and quality of management. [ABSTRACT FROM AUTHOR]

Photorealistic 3D models are important data sources for digital twin cities and smart city applications. These models are usually generated from data collected by aerial or ground-based platforms (e.g., mobile mapping systems (MMSs) and backpack systems) separately. Aerial and ground-based platforms capture data from overhead and ground surfaces, respectively, offering complementary information for better 3D mapping in urban areas. Particularly, backpack mapping systems have gained popularity for 3D mapping in urban areas in recent years, as they offer more flexibility to reach regions (e.g., narrow alleys and pedestrian routes) inaccessible by vehicle-based MMSs. However, integration of aerial and ground data for 3D mapping suffers from difficulties such as tie-point matching among images from different platforms with large differences in perspective, coverage, and scale. Optimal fusion of the results from different platforms is also challenging. Therefore, this paper presents a novel method for the fusion of aerial, MMS, and backpack images and point clouds for optimized 3D mapping in urban areas. A geometric-aware model for feature matching is developed based on the SuperGlue algorithm to obtain sufficient tie-points between aerial and ground images, which facilitates the integrated bundle adjustment of images to reduce their geometric inconsistencies and the subsequent dense image matching to generate 3D point clouds from different image sources. After that, a graph-based method considering both geometric and texture traits is developed for the optimal fusion of point clouds from different sources to generate 3D mesh models of better quality. Experiments conducted on a challenging dataset in Hong Kong demonstrated that the geometric-aware model could obtain sufficient accurately matched tie-points among the aerial, MMS, and backpack images, which enabled the integrated bundle adjustment of the three image datasets to generate properly aligned point clouds. Compared with the results obtained from state-of-the-art commercial software, the 3D mesh models generated from the proposed point cloud fusion method exhibited better quality in terms of completeness, consistency, and level of detail. [ABSTRACT FROM AUTHOR]

Mobile learning (m-learning) is gaining its importance in recent years. For libraries, it is inevitable to adapt to this trend and provide various information services and support for m-learning. This paper studies the m-learning usage of Library and Information Science (LIS) students, who will be the new blood for the library in future. In this paper, we invited 267 subjects from Hong Kong, Japan, and Taiwan to participate in our online survey. We found that LIS students from these regions do adopt communication tools and social media for m-learning. However, they less frequently use their smartphones for academic reading. Plus, they rely more on search engines for fulfilling their information needs instead of library resources. We also found that the lack of a mobile version of the library website constitutes a significant barrier in m-learning, but the lack of mobile apps is relatively acceptable by the respondents. The result of this study shows that there are no big differences in m-learning usage among the three regions, except that LIS students from Hong Kong are accessing the learning management platforms via their smartphones more frequently compared to students from Japan and Taiwan. [ABSTRACT FROM AUTHOR]

• This paper focused on the reliability of settlement prediction of immersed tunnel. • This paper focused on impact of time-dependent effects on settlement prediction. • A time-dependent expression for foundation modulus is proposed. • Several extreme conditions are considered in the future settlement prediction. The focus of immersed tunnel research has primarily revolved around settlement monitoring or prediction. However, there has been a lack of discussion regarding the time-dependent effects on settlement prediction, which could lead to obvious misjudgments in subsequent maintenance work. This paper addresses this issue by applying the physics-informed machine learning (PIML) algorithm to conduct an inverse analysis of the foundation modulus of the Hong Kong-Zhuhai-Macau Bridge (HZMB) tunnel, thereby identifying its variation tendency with time. The proposed time-dependent expression of foundation modulus demonstrates that the time-dependent effect is related to both post-construction settlement and the accumulation of back silting, which is significant and could persist throughout the entire service life of the HZMB tunnel. In further studies on settlement prediction for the HZMB tunnel, the results show that errors in prediction can exceed 30 mm at certain monitoring points. This error can be mitigated by considering the time-dependent effect, thereby significantly enhancing the reliability of predictions. [ABSTRACT FROM AUTHOR]

This paper examines the multi-actor making of the ruralscape in Hong Kong. I critically adopt the theoretical framework of Ingold's concepts of walking to understand how different "wayfarers", including but not limited to farmers, residents, land activists, agriculture learners, researchers, journalists, leisure practitioners and government officials, walk to make a multi-sensorial landscape. This paper encapsulates the observation outcomes of multiple times of walking by different individuals and groups recorded during my ethnographic fieldwork between 2008 and 2021. I shed light on the local practices and perspectives of hang cyun (walking in villages) and hang tin (walking in fields) to illustrate my observations. By analyzing the wayfarers' walking experiences and embodied movements, I consider the ruralscape as a vibrant space where people configure its meanings and materialize their lifestyle. The wayfarers' embodied experiences reflect the continuity and changes of a rural Hong Kong. Their making of ruralscape helps alleviate people's anxiety and enhance people's hope concerning the current Hong Kong society that faces food safety issues, environmental degradation, social class disparity and spoon-feeding education. I consider that being an agent who exercises his/her subjectivity during the walking in the ruralscape, a wayfarer makes the ruralscape meaningful in various aspects. My explanation contributes to the theoretical discussion of embodied movement and space making particular to the construction of a politicized nature telling us stories of (in)equality, (in)justice, and hope (lessness). • Walking is a political and socio-economic process that produces a multi-sensorial ruralscape. • Embodied movement and space making alleviates anxiety and enhances hope in rural Hong Kong. • Actor-actant interactions in Hong Kong's ruralscape entails stories of (in)equality, (in)justice, and hope (lessness). • People configure meanings and materialize lifestyle in walking in villages and fields. • Wayfarers's experiences reflect the continuity and changes of social movement, education, and agro-economy. [ABSTRACT FROM AUTHOR]

Taking the Shanghai-Hong Kong connect program as a natural experiment, the paper investigates if stock market openness impacts firms' ESG performance. The results show that, the ESG rating of the connected firms improves significantly compared to the non-connected firms, and the improvement is larger in firms with stricter financial constraints, but smaller in stocks with better financial or market performance. The findings imply that since foreign investors value ESG more than domestic investors, the connected firms may promote their ESG performance to cater to the northbound capital, and their catering incentive becomes stronger when their demand is more urgent. In the post-pandemic period, with the continuous challenging from anti-globalization trends, our results suggest that it is of theoretical and practical significance to utilize the positive role of market openness on corporate sustainability. [ABSTRACT FROM AUTHOR]

The ubiquity of Internet gaming as part of the younger generation's (11-35 year-olds) lifestyle to-day warrants a deeper understanding of its impact on their mental health. In particular, there has been scant research investigating the link between Internet Gaming Disorder (IGD) and suicidal behaviors in this demographic group, even though several mental health symptoms of the former are known risk factors for the latter. This paper aims to establish the presence or absence of association between IGD and each of suicidal ideation, self-harm, and suicide attempt among the younger generation. A large-scale online survey on Internet gamers in Hong Kong was conducted in February 2019. 3430 respondents were recruited through purposive sampling. Study samples were stratified into distinct age groups and multiple logistic regression was conducted for each measured suicidal behavior in each age group. After controlling for sociodemographics, Internet usage, self-reported bullying perpetration and bullying victimization, social withdrawal, and self-reported psychiatric diagnoses such as depression and psychosis, analyses revealed that adolescent (11-17 year-old) gamers with IGD were more likely than their peers who had no IGD to have had suicidal ideation, self-harm, and suicide attempt in their lifetime. These associations did not hold for 18-35 year-old gamers. Findings suggest that it may be prudent to recognize IGD as a growing public mental health priority for the young populace, particularly adolescents. Existing suicide prevention efforts can be complemented through screening adolescents for IGD, and could be expanded to online gaming platforms to reach more hidden at-risk individuals. • Adolescent gamers with IGD had higher odds of lifetime suicidal ideation compared to their peers with no IGD. • Adolescent gamers with IGD had higher odds of lifetime self-harm compared to their peers with no IGD. • Adolescent gamers with IGD had higher odds of lifetime suicide attempt compared to their peers with no IGD. • IGD was not associated with lifetime suicidal behaviors among gamers aged 18–35 years old. • Suicide prevention efforts may be enhanced by screening individuals for IGD and expanding efforts to online game platforms. [ABSTRACT FROM AUTHOR]

• A mixed bus fleet location-routing-scheduling framework under driving range uncertainty is proposed. • A range reliability (RR)-based two-stage stochastic program is formulated. • An adaptive time-space-energy network is proposed to address diverse forms of the refueling problem. • The vehicle routing, scheduling, and refueling station location problem are solved simultaneously. • Regular services ensure to cover the scheduled trips up to a certain reliability level with minimal total cost. This paper develops a framework to address the multi-depot vehicle location-routing-scheduling problem with multi-vehicle types, including electric buses, under range uncertainty. Three major issues in bus routing and scheduling are addressed in this framework, i.e., uncertain driving range, refueling or charging need, and locating refueling or charging facilities. Mathematically, the problem is formulated as a two-stage stochastic program. Two types of services, regular services running on fixed schedules and ad hoc services to cover incomplete scheduled trips arising from energy shortage of certain buses, are considered in this paper. An adaptive time-space-energy network is developed to model the refueling issues and location problem. We introduce the notion of range reliability to decompose and solve the two-stage stochastic formulation under range uncertainty. The regular services schedule is determined in stage-one to cover the demand under a certain range reliability level. Upon realization of the random driving range, the deployment of ad hoc services is made in stage-two to address the occurrence of energy shortage of certain buses. A range reliability-based gradient algorithm is developed to minimize the expected total cost of the system. We then apply the proposed method to bus services in Hong Kong. The range reliability-based approach shows promising results, leading to substantial cost savings as compared with the traditional methods that ignore the effects of driving range uncertainty. [ABSTRACT FROM AUTHOR]

Digital storytelling, an innovative way of writing, has been introduced to young learners who are taught to construct stories with digital tools to convey their knowledge and ideas. In 2018 and 2019, 31 digital stories created by Hong Kong primary school students were published on a digital story writing platform and linked from an online gamified reading platform. Each book on average gained 4,000+ views from across the globe and received 3,000+ favorable comments in total. While the digital stories are popular in these platforms, their quality and education value are uncertain. A review of the literature shows there is a lack of robust tools for assessing digital stories by young authors. The research team for this paper thus constructed their own framework in evaluating digital stories. An assessment of the stories has been done by two capable assessors, who found that the stories overall were of good quality and suggested room for improvement. This paper made three contributions: (1) "invention" of a digital story assessment framework; (2) it shows that stories created by students (with support from educators) can be an enjoyable and useful educational resource for their peers; and (3) digital storytelling can help foster the development of young authors. [ABSTRACT FROM AUTHOR]

• Around 1.4 million sales transaction data of 25 years were used in this study. • In 1991–2015, sale-related renovation waste could reach up to 4.46 MT. • A self-reporting levy is proposed to refine the waste and policing cost estimate. • More informed market forces may help address latent renovation-inducing factors. Using data of 1.4 million non-aggregate, publicly available, private residential property resale transactions for Hong Kong from 1991 to 2015, this paper addresses a public policy question raised by Demsetz from a Coasian angle. It estimates the impact of a less explored but ecologically problematic realm of renovation waste upon change of ownership of property units in a highly commodified property market. The estimate shows the extent and possibly high cost of the government in addressing negative externalities. Informed by the findings, this paper puts forward the recommendation of a prepaid lump sum waste monitoring levy, which is reimbursable upon self-reporting of waste generation. The collected information, when made open to the public, may help market forces to address poor building quality which causes legitimate major renovations and encourage better workmanship for future edifices. [ABSTRACT FROM AUTHOR]

• An optimal width allocation policy for traffic lanes and footpaths is developed. • Optimal lane width is 5.4 m when user and agency costs are equally important. • Hong Kong road agency places a higher weight on each dollar of user cost. • Allocation to footpaths can reflect the importance placed on pedestrian safety. Introduction: Walkability continues to attract great attention from urban planners, designers, and engineers as they recognize not only the merits of pedestrian facilities in terms of the health benefits but also their demerits in terms of accident risk to pedestrians. Wide footpaths improve the pedestrian environment and experience, and thereby motivate travelers to walk as much as possible. However, if footpaths are too wide, they may leave a smaller space for the roadway. On the other hand, wide road lanes may lead to higher road vehicle safety but are costly to construct and maintain and also may leave little space for the footpath. Evidently, for a fixed urban space, what is needed is an optimal balance between the vehicle lane and pedestrian path. This problem is encountered routinely in dense cities including Hong Kong where land availability is severely limited. Method: To address the issue, this paper first establishes safety performance functions (SPFs) for the pedestrian space and the road space, using the random-parameter negative binomial regression. The results indicate the extent to which road lane and footpath width changes are associated with changes in in-vehicle occupant and pedestrian casualties. Then the paper uses the SPFs to develop a methodology for optimizing the width allocations to the road lanes and footpaths, duly considering the user (safety) costs and agency (construction) costs associated with each candidate allocation of the widths. Finally, the paper analyzes the sensitivity of the optimal solution to the relative weights of user cost and agency cost. Results: When user and agency costs are considered equally important, the optimal lane width is 5.4 m. Conclusion: It is observed that the road space allocation ratio used by the Hong Kong road agency suggests that the agency places a higher weight to user cost compared to agency cost. Practical Application: The findings can help incorporate design-safety relationships, and the stakeholders (agency and users) perspectives in urban road and footpath design. [ABSTRACT FROM AUTHOR]

• A quantified approach to evaluate users' attitudes towards Crowd Management System. • Estimating the Willingness-to-Pay with the Contingent Valuation method. • Perceived usefulness and online payment habit greatly influence users' attitudes. • Good indications for future research on the use of ICT for safety enhancement. Smart city projects are being launched globally to enhance the well-being of citizens. Meanwhile, the value-added of the projects is not easy to evaluate due to the non-market nature of the public services provided. This study intends to investigate the attitudes of potential users of a Crowd Management System (CMS) to help with the decision-making on smart city projects. The CMS studied in this paper is applied in large-scale events to enable safe and efficient dissipation of event participants as one of the pilot Smart City projects in Hong Kong. It does so by providing real-time information on public transport for their return journeys when a large number of participants all finish their activities within a short time span. Reducing injuries of pedestrians can be achieved in major gatherings to improve safety. This paper presents an experimental analysis of users' attitudes towards the CMS with the Contingent Valuation (CV) method. A marathon event in Hong Kong was chosen for an on-the-spot survey of actual users as part of an experimental study. Subsequently a similar survey was carried out off-site among marathon runners not participating in that event (as a control group) for data reliability comparison. The Willingness-to-Pay value is also derived from the pooled samples to evaluate users' attitudes. Besides, the results indicate that runners' perceived usefulness and online payment habit significantly influence the stated Willingness-to-Pay (WTP) for the CMS in question. [ABSTRACT FROM AUTHOR]

In recent years, promoting regional synergistic development has become the shared objective in city-regions during the new stages of development. This paper aims to uncover the dynamics of synergistic development in urban agglomerations by constructing an index measurement system based on four dimensions: industrial synergy, innovation synergy, infrastructure synergy, and institutional synergy. By comprehensively employing theories and methods such as "space of flow" big data analysis, network analysis, and interlocking network models, this study examines patterns and capacities of synergistic development in the Guangdong-Hong Kong-Macao Greater Bay Area. The main instances of industrial cooperation between cities are observed in Hong Kong-Shenzhen and Guangzhou-Shenzhen; capital flows primarily concentrate in Guangzhou-Shenzhen and Hong Kong-Shenzhen. Research paper and patent collaborations between cities are predominantly concentrated in Hong Kong-Shenzhen; joint laboratories are mainly established in Hong Kong-Macao and Hong Kong-Guangzhou; inter-city co-construction of higher education institutions is mainly focused on Guangzhou-Foshan and Shenzhen-Hong Kong. Infrastructure synergistic development performs best in Guangzhou-Shenzhen, Guangzhou-Foshan, and Shenzhen-Dongguan. Cross-border collaboration benefits from institutional advantages held by Hong Kong and Macao. Urban interactions with outstanding performance include Guangzhou-Shenzhen, Hong Kong-Shenzhen, Guangzhou-Foshan, Shenzhen-Dongguan. Additionally, increasing interaction trends can be observed between Guangzhou-Dongguan as well as Shenzhen-Zhuhai/Shenzen-Foshan partnerships. Understanding the typical characteristics and potential trends of synergetic development within the GBA holds significant practical value for establishing a first-class bay area along with a world-class urban agglomeration. • Concept and connotation of synergistic development in urban agglomeration area was examined. • Indicators and methods for evaluation of synergistic development in the GBA were conducted. • Patterns and capacities of synergistic development at urban scale in the GBA were explained. • Urban interaction with highest synergistic development level is Guangzhou-Shenzhen. [ABSTRACT FROM AUTHOR]

Zero-energy buildings usually achieve annual net-zero energy balance by generating electricity using on-site renewable energies and interconnecting with the power grid. However, the impact of energy mismatch problem in zero-energy buildings design on the grid is often overlooked, which potentially compromises grid's stability. To address this issue, this paper presents an optimization design method based on "grid-friendly interaction" which optimizes the energy system of zero-energy buildings to ensure better alignment between the building's electricity purchase/sale and grid demand. In this study, an indicator of "grid-friendly interaction", which represents the ratio of the net building friendly interaction power to the total annual interaction power, is firstly established to guide buildings in improving their interaction with the grid. Next, the energy supply, demand, and storage schemes of renewable energy systems in the zero-energy building are iteratively adjusted to achieve the best match with grid's expectations. This optimization design method was applied to a practical case in Hong Kong. Results show that, compared to the benchmark building, the optimal system design scheme increases grid friendliness by 83 %, reduces carbon dioxide emissions by 77 %, but also incurs a total cost increase of 180 %. The optimization design method proposed in this paper can effectively mitigate the impact of zero-energy buildings on the power grid, fostering enhanced interplay between the building structures and the grid. The study significantly contributes to the advancement of exploring the potential for energy flexibility in zero-energy buildings, which is of great significance for the safe and stable operation of future grids. The purpose of this study is to explore the energy flexibility potential of zero-energy buildings, which is of great significance for the safe and stable operation of future grids. • A novel indicator that reflects the degree of friendly interaction is proposed. • An optimization design method based on "grid-friendly interaction" is presented. • Single-objective and multi-objective optimization are applied respectively to ZCB. • It is of great significance for the safe and stable operation of future grids. [ABSTRACT FROM AUTHOR]

• This paper proposes a reliable method to evaluate GNSS multipath effects on a smartphone with the known positions in urban canyons. • This paper for the first time to evaluate GNSS errors comprehensively using large-scale data on the smartphone. • This paper is the first to determine the primary error source for smartphone GNSS in urban areas -NLOS or multipath errors. • For the first time, this paper established connections between fault-free measurements and the sides of the street in urban areas. • Results show that pedestrian network can be used to identify the sides of the street for pedestrian, eliminating the need of complex 3D building models. In urban environments, the code measurements of Global Navigation Satellite System (GNSS) on smartphones can be significantly degraded by presence of multipath and non-Line-Of-Sight (NLOS) effects. Extensive studies have been carried out on characterizing the quality of GNSS code measurements under different conditions, which can be used to refine the weighting model and fault detection method. However, our knowledge regarding the impacts of multipath effects on smartphones remains limited. This includes determining the dominant error source for urban GNSS on smartphones between multipath and NLOS errors, and characterizing the fault-free code measurements for pedestrians in urban canyons. To address these issues, we conducted extensive tests in a typical urban area in Hong Kong and analyzed characteristics of multipath effects. Analysis revealed that 92.5 % of code outliers stem from NLOS signals, which result in longer ranging measurements, making NLOS the dominant error source impacting GNSS performance. Further, we established that over 92 % of fault-free signals are from the opposite sky of a pedestrian, and we found that the sidewalk can be reliably determined by examining signal-to-noise ratio (SNR) measurements, eliminating the need of complex 3D building models. The identified sidewalk can be used to enhance GNSS performance in urban areas. An experiment in the urban canyon was performed in urban canyons. Results show that the accuracy can be improved from 15 m to 4.6 m when the correct sidewalk can be identified. [ABSTRACT FROM AUTHOR]

In recent years, urban rail funding has become an increasing concern in some western cities. The underlying issues over ridership and funding has largely been driven by trends such as increasing teleworking and new transport modes like ridesharing, which are likely to further exacerbate funding issues in the aftermath of the worldwide health crisis. This paper contributes to the discussion through the examination of funding within urban rail transport, specifically the strengths and weaknesses of mechanisms that can be used to achieve sustainable, stable long-term funding. A unique, very long-term historical dataset of five large metros around the world was collected for this research, with the analysis based on evidence of actual practices, from a relatively rare organisational perspective. Key results include: i) appropriate fare-setting has been critical for long-term financial health, but is vulnerable to inflation effects and political interference; indexing is important but use of consumer prices has led to revenue erosion in real terms, since wage growth is typically higher. ii) How subsidies are generated can have varying impacts on funding stability and sustainability — dedicated taxes and cross-subsidies from road charges are typically better than direct grants as they are secured by legislation; they also reduce political changes and avoid competing claims from other types of government spending (health, education), as compared with grants. iii) Commercial revenue can be a valuable source for future growth, in light of increased resistance to taxation. Real estate-related revenues in particular can be substantial, as in Hong Kong and Tokyo, with historically faster growth than wages, while also capturing any further value increases from rail system improvements. • Strengths and weaknesses analysis of funding sources, using data from 5 large metros • Fare-setting with appropriate index (wages) is crucial for long-term financial health • How subsidies are generated – intrinsic impacts on funds stability and sustainability • Ideally, subsidies secured multi-year with legislation – avoids competing claims • Real estate enables long-term value capture and revenue growth from rail improvements [ABSTRACT FROM AUTHOR]

In this paper, we aim to examine people's EV purchase intention in Hong Kong, an Asian compact city, and how the influential factors are different from the Western context, for which a low-density Nordic context, Denmark, was chosen. To achieve this, we conducted a survey in Hong Kong to understand the effects of several key factors, including subjective norms, personal norms, and perceptions and knowledge about EVs. Structural equation modelling was employed and multi-group analysis was conducted. Our findings show that EV purchase intentions in Hong Kong are highly value-driven with the assimilation to social expectations directly and strongly encouraging individuals' EV acceptance, which is different from the European case where the adoption desire is built upon the assessment of usage difficulty. In addition, range anxiety poses a direct deterrence to EV adoption even in the compact city. Availability of charging opportunities, be it the public ones or home-based ones, plays a critical role in an individual's decision of EV adoption in the high-density city. Our study reveals a strong disparity in the pathways towards EV adoption between the Asian and the Nordic contexts, thereby illustrating the necessity to differentiate e-mobility promotion policies in compact cities from low-density cities. • We analyse the influential factors of EV purchase intention in Hong Kong & Denmark. • Attitude, moral obligation and perceived ease of use affect EV adoption. • EV purchase intentions are highly value-driven in Hong Kong. • Range anxiety poses a deterrence to EV adoption even in the compact city (HK). • Availability of charging facilities is key to EV adoption. [ABSTRACT FROM AUTHOR]

With the launch of the Shanghai-Hong Kong and the Shenzhen-Hong Kong Stock Connect programs, the correlations among the three stock markets have been more complex. Therefore, this paper applies the Minimum Spanning Tree and Sliding Window methods to analyze the complex correlations of the 38 financial institutions in the three markets. Based on closing prices ranging from January 1, 2011 to December 31, 2021, three conclusions are obtained. The top 20 institutions in the network were mainly banking institutions from 2011 to 2013, while the node strength of non-banking financial institutions tended to increase from 2014 to 2021. The network shows different structures over time, even the changes in the three correlation coefficients generally show the same trend. The degree correlation between any two layers is positive, but the similarity shows different characteristics. These results would help to enrich multi-layer network theory and reveal the evolutionary characteristics of the correlation between financial institutions. [ABSTRACT FROM AUTHOR]

• A novel blockchain-based tool is proposed for MRV of carbon emissions. • It ensures the traceability, immutability and transparency of carbon emission data. • It is successfully used in life cycle carbon audit in Hong Kong's building sector. • It supports the implementation of the HKGBC carbon emissions regulatory framework. The Hong Kong Green Building Council introduced the Climate Change Framework for the Built Environment, aimed at enhancing the monitoring and management of life cycle carbon emissions within the building industry. In response to this initiative, this paper presents a novel blockchain-based carbon audit tool designed to facilitate the monitoring, reporting, and verification (MRV) of embodied carbon in Hong Kong's building sector. Specifically, a consortium blockchain is utilized for system development in this study. The proposed blockchain system records the information pertaining to each stage of the building's life cycle, which is uploaded for storage. The system ensures the traceability, immutability, and transparency of the recorded information. To test and verify the system, it was initially applied to manage and audit the embodied carbon in Hong Kong's building sector in 2020. We anticipate our findings will provide a viable tool for MRV of building life cycle carbon emissions. [ABSTRACT FROM AUTHOR]

• A systematic distortion of data points caused by the averaging process was uncovered. • An average absolute bias was proposed to objectively quantify the embedded bias. • A practical optimal dataset determination procedure was proposed. • The proposed method was demonstrated using real-world traffic data. Estimating traffic flow models, such as speed-density relationships, using data from multiple sources with different temporal resolutions is a prevalent challenge encountered in real-world scenarios. The resolution incompatibility is often intuitively addressed by averaging the high-resolution (HR) data to synchronize with the low-resolution (LR) data. This paper shows that ignoring the variability of HR data within the LR interval during the averaging process could lead to systematic data point distortions, resulting in biased model estimations. The average absolute biases of models estimated from the average data increase with the lost variability of HR data within the LR intervals. Subsequently, it proves that for any given complete average data dataset, there must exist an optimal dataset that minimizes the average absolute bias in model estimations introduced by the averaging process. A novel procedure for determining the practical optimal dataset is proposed. To test the proposed method, real-world HR data from four sites in Hong Kong and Nanjing, China were collected to mimic situations with multi-resolution data. Results demonstrated that the proposed method can significantly reduce the average absolute biases of models estimated from the determined practical optimal dataset, as compared to models estimated from the complete average dataset. [ABSTRACT FROM AUTHOR]

• A particularly large data set and modern modeling give new insights into variation. • Grammatical aspect, persistence, and frequency exert a consistent effect on marking. • Second-language acquisition processes and unique sociohistories explain variation. • There is a core grammar of variable past inflection in English. • Patterns of grammatical variation purportedly unique to creoles are unexceptional. In this paper, we investigate variable past inflection in four New Englishes. Our data are drawn from the conversational parts of the Hong Kong, India, Jamaica, and Philippine subcomponents of the International Corpus of English. We investigate the entire range of language-internal factors that have been found to influence non-obligatory past marking in varieties of English. This includes morpho-phonological verb class, lexical aspect, grammatical aspect, marker persistence, the presence or absence of a temporal adverbial, and, for consonant-final regular verbs, preceding and following phonological environment. We also consider verb frequency, which has received only scant attention in past inflection research so far. Employing both mixed-effects regression and random forests, we argue that, despite inter-variety differences, there is a core grammar of past inflection, which is constrained by general structural and cognitive phenomena such as grammatical aspect and marker persistence, with frequency also exerting an important and consistent effect. This has implications for debates about universals vs. substrate influence or creole effects in morphosyntactic variation in English. [ABSTRACT FROM AUTHOR]

• A large-scale sociolinguistic survey (N = 779) on age-graded variation. • Disappearing construction (i.e. S-V-DO-IO 'I give a ball him') was least acceptable to 48–53 year-olds, but more acceptable to adolescents. • First quantitative study in Prosodic Syntax on Cantonese. This paper investigates age-graded variation in the use of the Inverted Double Object Construction (IDOC) in Hong Kong Cantonese. IDOC is unique because it is currently only attested in Cantonese, not in Mandarin or English, and its grammaticality is determined by prosodic factors rather than purely syntactic ones; however, its use is now declining. We conducted a web-based acceptability task using audio stimuli that contrasted different types of direct objects (DO) and indirect objects (IO), and the presence or absence of a pause between DO and IO. The effect of age was also analysed. Participants were asked to rate test sentences produced with neutral focus intonation on a Likert scale. Our results showed that the acceptability of IDOC was determined by (i) the prosodic weight of IO; (ii) the relative prominence of DO and IO; (iii) the presence of a pause; and (iv) listeners' age. [ABSTRACT FROM AUTHOR]

• Hong Kong Observatory operates ocean model in support of marine weather forecasting • Model validation of current and wave forecasts uses moored and drifting buoys data • Downscaling model results serve as benchmark reference for future model enhancement The Hong Kong Observatory has been running an Operational Marine Forecasting System (OMFS) adapted from the Regional Ocean Modelling System (ROMS) coupled with the WaveWatch III and SWAN wave models to provide wave, current and sea temperature forecasts up to 144 h twice a day since December 2021. To facilitate users' interpretation of model forecasts of significant wave height and current speed in coastal predictions and open seas which are of particular significance in high wind situations, model forecasts were validated against moored buoy observations and wave recorder measurements near the shores of Hong Kong and drifting buoy data over the South China Sea, as well as Mercator Ocean model reanalysis in 2022. The validation results showed that the wave forecasts generally agreed well with the buoy observations with coefficient of determination (R2) of around 0.7 and root-mean-square error (RMSE) of less than 0.2 m up to 72 h ahead. The R2 for sea current forecasts ranged between 0.4 and 0.6, and the RMSE was around 8 to 11 cm/s in near shores up to T + 144 forecast hours. Validation against drifting buoy demonstrated that the trend of current forecasts generally agreed well with the measurements. RMSE of surface current forecasts over open seas ranged from 19 cm/s for 24-hour forecast to around 30 cm/s for 144-hour forecast when compared against Mercator Ocean reanalysis. Results from the current downscaling approach could serve as a benchmark reference for HKO to enhance OMFS in the future. In this paper, applications of model forecasts in the provision of marine weather services in Hong Kong are also introduced. [ABSTRACT FROM AUTHOR]

This commentary on "Just wanna give you guys a bit of an update": Insider perspectives on business presentations in Hong Kong (2013) explores the significance of the paper written by Stephen Evans, its influence on the study of business English, and its main contributions to business communication and presentations, including a number of highlights for future research projects. • This is a researcher's commentary on Evans (2013). • It tries to highlight research interest in business English oral interactions. • The research on business presentations has multiple aspects to be studied. [ABSTRACT FROM AUTHOR]

In this paper, we estimate the energy efficiency of educational buildings with the case study of buildings in City University of Hong Kong by constructing an energy demand stochastic frontier model. The model is estimated by using the university statistical data from 2011 to 2015. For the consistent frequency of data among the variables, we have adopted the quadratic-match sum method to convert annual university report data into a monthly dataset. Our result shows the average energy efficiency is 0.87, implying that 13% of total energy consumption can be saved. We then calculate how much of the energy saving potential has been achieved by constructing the performance score, which increases from 0.08 to 0.17. It implies that the campus performs more efficiently in saving energy over time. We further develop econometric decomposition analysis based on the energy demand frontier model to identify the factors affecting energy consumption. It suggests that research activities account for a large share of overall energy consumption. Analysis on energy end-use shows university should improve efficiency in lab instrument as it is least efficient among the four usages. We expect this paper can provide the fundamental and methodological guideline for university-scale energy efficiency estimation. • Estimating energy efficiency of educational buildings needs to consider the composition of research related factors. • Energy efficiency of campus building presents increasing tendency with seasonal cycle over time. • Research related variables affect significantly on energy efficiency of educational buildings. • Energy use in lab instrument needs to be effectively managed to save energy. [ABSTRACT FROM AUTHOR]

• This paper focuses on daily natural gas consumption forecasting. • A novel hybrid model is developed for daily natural gas consumption forecasting. • The most recent datasets of four cities in three climate zones are collected. • An improved singular spectrum analysis is first proposed. In daily natural gas consumption forecasting, the accuracy of forecasting models is vulnerably affected by the noise data in historical time series. Singular spectrum analysis (SSA) is often introduced into hybrid models for denoising. However, as a deterministic-based algorithm, SSA does not give good results when a time series is contaminated with a high noise level. Considering this fact, this paper proposes an improved SSA (ISSA) that modifies the determination method of subseries selection in the reconstruction stage of SSA. Combining ISSA with long short-term memory (LSTM), a novel hybrid model, ISSA-LSTM, is thus developed. Additionally, for validating the robustness and superiority of ISSA-LSTM, the historical datasets of four representative cities located in three climate zones are collected as the training and testing datasets, and a comparison of ISSA-LSTM with five advanced models is performed. The results reveal that SSA would generate negative values when time series close to zero and the contribution of SSA in improving the forecasting accuracy of LSTM is insignificant. In contrast, ISSA avoids generating negative values and reduces the mean absolute range normalized error (MARNE) of LSTM by a range of 0.86–11.86%. Among the models, ISSA-LSTM achieves the best performance and its MARNEs for London (temperate zone), Melbourne (subtropical zone), Karditsa (subtropical zone), and Hong Kong (tropical zone) are 4.68%, 5.72%, 5.76%, and 14.10%, respectively. The MARNE of the tropical city is higher than that of others, which is caused by the complex natural gas consumption pattern of itself. [ABSTRACT FROM AUTHOR]

The ageing population has become a global problem in which enhanced understanding on their activity-travel patterns is needed. In this paper, an analysis of retired and dual-earner couples is conducted to investigate how retirement would change their activity time use and patterns. In particular, intra-household interactions are considered, to explore the interdependencies among household members' choices, social-demographics and travel behaviours. Household survey data from Hong Kong are employed. Results show that retirement would substantially increase joint participations and durations in various out-of-home activities. In addition, the importance of walkability is emphasised for retired couples in a mixed-land-use and transit-dependent city, and a potential social exclusion issue is identified for the low-income retired population. Scenarios analyses including changes of built environment and lifestyles (e.g., telecommuting, online shopping and food delivery) are conducted, to investigate how couples would reallocate the saved travel time. In summary, this paper highlights the importance of considering the group decision mechanism in a household for activity generation and travel demand forecasting. It sheds light on policies to improve quality-of-life for couples before and after the retirement. [ABSTRACT FROM AUTHOR]

Electromagnetic induction is the most common technique used for geophysical survey of underground utilities, in planning stage, prior to construction/excavation and maintenance stage of underground's construction projects. Despite its popularity and usefulness, its reliability and accuracy are nevertheless always questionable due to coupling effects amongst the very congested underground utilities. This work studies the disturbed electromagnetic field patterns caused by the coupling effect of neighbouring cables and metallic pipes via a series of validation experiments in PolyU's indoor underground utility laboratory. The 'fingerprints' of electromagnetic fields are established corresponding to different below ground conditions. 11 setups with 260 tests were designed to study the coupling effect between a cable and a pipe. The results show that the coupling effect is significant in the active detection of the cable. The experiment also compares the accuracies of cable and pipe detection at different induction frequencies with reference to the accuracy levels in the HK EMSD requirement of competent person for power cable detection and PAS128:2014 British standard. This paper demonstrates the importance of coupling effects in the detection of underground utilities, which should be considered in future revision of standards. • Coupling effects of EM locating of underground utilities are never studied. • This paper is the first to evaluate such EM coupling effects amongst utilities. [ABSTRACT FROM AUTHOR]

Abstract This paper presents an observational study on the pressure fields of tropical cyclones (TCs) at a coastal meteorological station in Hong Kong, based on 17 years' measurements from sounding balloons whose detection range covered the whole tropospheric depth. Both case studies and composite analyses are conducted to explore the vertical distributions of pressure deficit and other meteorological elements during TC dominated periods. The observational results show that the pressure deficit below the TC outflow layer decreases with altitude linearly, with the slope increasing consistently with the increase of surface pressure deficit. Based on the observations and analyzed results, a height-resolving model of the TC pressure field is established. The proposed model is then utilized to improve an existing TC wind field model. It is demonstrated that the improved TC wind field model is able to reproduce the low-level jet of TC wind profiles whose height varies with storm-relative positions. Highlights • This paper presents an observational study on the height-resolving pressure field of tropical cyclones (TCs). • 17 years' measurements from sounding balloons whose detection range covers the whole tropospheric depth are analyzed. • Both case study and composite analysis are conducted for the vertical distribution of varied weather elements of TCs. • A data-driven model is established for the height-resolving structure of TC pressure field. • The proposed model is utilized to refine an existing TC wind field model. [ABSTRACT FROM AUTHOR]

Abstract Vessel operations at port play a particular role in port-related air emissions. Hotelling, manoeuvring and cruising operations in the harbour areas generate a large share of local and global pollution, external costs and public health issues. Emission abatement demands effective regulation for vessel compliance and enforcement adequacy in despite of geographic differences in jurisdiction. A connecting relation between regulatory frameworks and atmospheric pollution from vessels operations at port is so far, missing in literature. This paper aims at filling in this gap by addressing exhaust gasses (NOx, SOx, CO, CO 2) and particles (PM 2.5) released from operative vessels in port with differing regulatory frameworks (Las Palmas, St. Petersburg, and Hong Kong). Estimations are based on the Ship Traffic Emission Assessment Model (STEAM) and AIS traffic information over a twelve-month timeframe. Contribution of this paper relates to revealing emission patterns of vessel operations in port and the assessment of current regulatory frameworks. Results and lower emission profiles shed light to sulphur regulation differences and the potential benefits in new policy measures (polluter pays principle, cold ironing and others) of accounting operative modes and shipping sub-sectors. Highlights • Shipping emission in ports under diverse geographical and regulatory framework. • Emissions patterns at port from general and passenger vessel traffic. • Results show how disaggregation of emission inventory can provide policy support. • Port emission patterns cannot be solely explained by regulatory differences. • Policy recommendations based on regulation, port governance and emission results. [ABSTRACT FROM AUTHOR]

Graphical abstract Highlights • This study identifies illegal dumping behaviors by using big data analytics. • This study proposes an Illegal Dumping Filter to identify illegal dumping cases from the big data. • This study explains a major driver, i.e., long wait time, to illegal dumping. • This study identifies 546 suspected trucks from over 9 million waste disposal records. • A three-step big data-enabled urban crime identification methodology is proposed. Abstract Illegal dumping, referring to the intentional and criminal abandonment of waste in unauthorized areas, has long plagued governments and environmental agencies worldwide. Despite the tremendous resources spent to combat it, the surreptitious nature of illegal dumping indicates the extreme difficulty in its identification. In 2006, the Construction Waste Disposal Charging Scheme (CWDCS) was implemented, regulating that all construction waste must be disposed of at government waste facilities if not otherwise properly reused or recycled. While the CWDCS has significantly improved construction waste management in Hong Kong, it has also triggered illegal dumping problems. Inspired by the success of big data in combating urban crime, this paper aims to identify illegal dumping cases by mining a publicly available data set containing more than 9 million waste disposal records from 2011 to 2017. Using behavioral indicators and up-to-date big data analytics, possible drivers for illegal dumping (e.g., long queuing times) were identified. The analytical results also produced a list of 546 waste hauling trucks suspected of involvement in illegal dumping. This paper contributes to the understanding of illegal dumping behavior and joins the global research community in exploring the value of big data, particularly for combating urban crime. It also presents a three-step big data-enabled urban crime identification methodology comprising 'Behavior characterization', 'Big data analytical model development', and 'Model training, calibration, and evaluation'. [ABSTRACT FROM AUTHOR]

• Automatic MiC envelopes and layout generation by a novel SSG-MOO method. • Multi-objective optimization formulation for passive MiC design. • A pilot MiC study in Hong Kong produced 5 selected Pareto optima out of 625. • Up to 0.42% energy savings and 9.71% spatial daylight autonomy improvement against the baseline. • A multi-level analysis of results and design strategies for practitioners. Modular-integrated Construction (MiC) is an emerging construction technique promoted in the building sector for high productivity and low waste emission in the construction phase; yet, the standardized modules also bring new challenges, such as balancing passive energy efficiency and spatial daylight autonomy, to the operational phase. This paper proposes a Symmetric Skeleton Grammar-based Multi-Objective Optimization (SSG-MOO) method to formulate parametric MiC envelopes and detailed layout, with the two objective functions being energy efficiency and interior daylight performance in the operational phase. Pareto optima of the SSG-MOO, computed by the Non-dominated Sorting Genetic Algorithm II, are generally verified and analyzed in three levels, i.e., MOO's solution space, SSG layout, and MiC design parameters. A case study of MiC residential building in Hong Kong demonstrated the SSG-MOO method through five new passive MiC designs (i.e., spatial reorganization of three architectural modules, and parameter tuning of the envelops and corridors), achieving up to 0.42% energy savings and 9.71% spatial daylight autonomy improvement compared to the baseline design. The contribution of this paper is two-fold, including a novel and sound SSG-MOO formulation for parametric MiC designs, and offering time-efficient and evidence-based design tactics for MiC designers and industrial practitioners to push boundaries of MiC. [ABSTRACT FROM AUTHOR]

• Applying InVEST model to determine ecological sources. • Building ecological resistance surfaces for highly urbanized region. • Proposing a local evaluation model for ecological networks. • Summarizing the ecological network development suggestions. Metropolitan regions usually encounter sustainability difficulties such as overexploitation of resources, severe land scarcity, and ecological degradation, resulting in the progressive collapse of ecological networks (ENs). It is therefore essential to strengthen the construction and protection of ENs by integrating various resources, improving the quality of the urban ecological environment and creating a favourable living environment. Using the Guangdong-Hong Kong-Macao Greater Bay Area as a case study, in this paper, the ecological resistance indicator system that balances natural condition and human disturbance is rebuilt. In doing so, a construction scheme (applicable to highly urbanised areas) is established to simulate ENs at a more precise scale. Moreover, a local evaluation model of ENs is proposed and the spatial patterns of multiple indicators are fully summarised. The findings show that the ENs of the Guangdong-Hong Kong-Macao Greater Bay Area exhibit apparent spatial disparity. Disturbance through human activities seriously affects the spatial pattern of ENs, leading to structural imbalance and quality impairment of ecological corridors. Based on our assessment, the construction of complementary ecological corridors in the "two green belts" planning of the Guangdong-Hong Kong-Macao Greater Bay Area will improve structural problems. The findings of this paper can provide a reference to the harmonisation of urban development and ecological protection, by guiding the scientific management of ecological spaces in highly urbanised regions. [ABSTRACT FROM AUTHOR]

Urban rail development can increase land value, reduce commute time, and increase accessibility, as reported in the literature. However, little is known about the impact of opening urban rail transit stations on people's sentiment, particularly in the context of large metropolises where population density is significantly high. This paper investigates such impact by studying six new transit stations opened in Hong Kong. People's sentiment and activity in station nearby areas are estimated by tweet sentiment and tweet activity. We use the difference-in-difference model to study the impact of opening new transit stations. Tweet sentiment, tweet activity, tweet content, and footprints of people who visit the station-influenced area 'before and after' the opening of transit stations are analyzed. The results suggest that, in general, the introduction of transit stations causes a positive change in tweet activity, and the change is statistically significant after six months. Regarding tweet sentiment, new transit stations tend to pose a mixed effect in a short-term, a positive influence on areas with high-density residential places, yet a negative influence on areas with a large proportion of nature reserve areas. These short-term effects, positive or negative, become not significant in the long term (after twelve months). Our analysis also confirmed that the introduction of new transit stations increased accessibility from (to) other parts of the city to(from) the station's nearby area, which was shown by the expanded locations sustaining users visited. These findings indicate that the urban rail transit system in Hong Kong promotes more active neighborhoods yet does not always promotes positive influence on people's sentiment. Further studies are needed to make future urban rail transit systems promoting active and happy neighborhoods. The study is relevant to the Belt and Road Initiative (BRI) in methodologies, data, and findings. The social media analysis method used in this study, including text mining and sentiment analysis, can be easily extended to multiple language analysis for Singapore, Malaysia, as well as other regions in the belt and road plan. The developed tools could contribute to analyzing the influence of cross-country projects on local neighborhoods in the belt and road plan. • This study assessed the effect of new transit station on people's activity and sentiment via social media data. • Methods on analyzing Twitter data in Hong Kong are developed. • The introduction of new transit stations increases tweet activity in nearby areas. • New transit stations yet not always promote positive changes on tweet sentiment in nearby areas. • The methodologies, data, and findings are applicable to other regions in the Belt and Road Initiative. [ABSTRACT FROM AUTHOR]

This paper seeks to contribute to debates about how people's adult lives unfold after experiencing childhood adversity. It presents analysis from the British Chinese Adoption Study: a mixed methods follow-up study of women, now aged in their 40s and early 50s, who spent their infant lives in Hong Kong orphanages and were then adopted by families in the UK in the 1960s. Sixty-eight women participated via questionnaires and face-to-face interviews. The paper draws on both quantitative analysis (using standardised measures and systematically coded data on adult life events) and qualitative analysis of interview data to identify the context and subjective meaning of the quantitative findings. We found that most of the women lived largely positive, stable, well-supported lives although punctuated by challenging periods. Using regression analysis, two variables were significantly associated with poorer mid-life functioning over and above other potential influences: a) feeling unhappy about being adopted, and b) partnership adversity after age 25. No associations were found between childhood experiences and patterns of adult adversity. Illustrations are given, based on the interviews, of the women's multi-faceted perspectives on the long-term impact of being internationally adopted and on professional support. We conclude that when early orphanage care (of reasonable quality) was followed by a good quality adoption, most women were able to negotiate the majority of later difficulties successfully. The findings suggest two important implications for understanding mid-life outcomes: a) that experiences in both childhood and adulthood should be taken into account and b) individuals' subjective views on being internationally adopted may help explain divergent outcomes within groups with similar early experiences. [ABSTRACT FROM AUTHOR]

This paper reports on an investigation into two pre-service teachers' reflective learning through a series of integrated and interactive tasks (i.e., collaborative lesson planning, group consultation, microteaching and videoed reflections) in a teacher education course in Hong Kong. Relying on data gathered from interviews and reflection videos and informed by a tripartite model on teacher identity in practice, discourse and activity, the study revealed how the pre-service teachers engaged in reflective practice and identity construction in the course. The paper concludes with practical implications on how to design and implement effective reflective tasks in preparing and developing competent language teachers. [ABSTRACT FROM AUTHOR]

This paper forms a rejoinder to the paper by Luo & Zhai (‘“I will never go to Hong Kong again!” How the secondary crisis communication of “Occupy Central” on Weibo shifted to a tourism boycott’). It discusses claims Luo and Zhai (2017) make about negative impacts of Occupy Central protests on tourism sector in Hong Kong and debates application of sentiment analysis to censored social media platforms. The rejoinder concludes that there is no clear evidence that there has been a negative impact of Occupy Central on Hong Kong tourism. It also urges tourism academics to be more critical regarding the sources of information for their studies. [ABSTRACT FROM AUTHOR]

Buildings are responsible for about 92% of the total energy end-use in Hong Kong, of which above 70% is from the commercial sector. Most of the buildings in Hong Kong are high-rise, and approximately 15% of the total building stock is commercial buildings. Despite the considerable improvement in the understanding of the life cycle energy use of office buildings, there is still a lack of research into the life cycle energy demand of high-rise office buildings. Such knowledge is however essential for facilitating building energy conservation in the high-rise urban environment. The aim of this paper is to investigate the life cycle energy use of high-rise office buildings. The research was carried out through a critical literature review and case studies of ten real-life high-rise office buildings in Hong Kong. Results show that the life cycle energy consumption is 51.78–73.64 GJ/m 2 over the 50-year study period. Building operation consumes 78–89% and the rest (i.e. 11–22%) is taken by the embodied energy. Despite the distinction in terms of the amount of embodied energy between high-rise buildings and low-rise counterparts, no clear correlation is found between building height and embodied energy intensity. Moreover, energy use for material manufacturing and transport should be prioritised in reducing the embodied energy, of which the transport energy needs to be taken into extra consideration for the case of Hong Kong. The findings should inform construction industry participants of the significant potential in reducing the embodied energy of high-rise office buildings. The paper profiles the life cycle energy use of high-rise office buildings and should be important for the policy formulation towards the holistic energy conservation in high-rise buildings over their lifespans. [ABSTRACT FROM AUTHOR]