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AbstractThe paper adds to the growing literature that considers how COVID-19 has impacted on public transport. It reports on a focus group study in Denmark with both users and non-users of public transport during the pandemic. Focus group participants were asked to talk about and explain their everyday transport mode choices. Whereas the study was based on the assumption that ‘fear of transmission’ would have come to represent a readymade rationalisation resource for people to use to justify if they do not want to use public transport, the participants consistently resisted to rationalise their mode choice-decisions with reference to ‘fear of contagion’. The paper considers if this resistance can be understood as an example of a tension between more governmental and biopolitical governance strategies and more disciplinary governance strategies in liberal societies during the pandemic. It offers a detailed analysis of how participants pre-empt the relevance of risk of contagion for their travel decisions in focus group interaction, and it concludes suggesting its findings indicate a little-explored domain: It appears as if passengers cannot admit to ‘fear of contagion’ without risking appearing incapable of governing themselves in line with liberal governmentalities, thus potentially subjecting themselves to more disciplinary interventions. [ABSTRACT FROM AUTHOR]

In this article, we examine the outbursts of a white passenger on a London tram, antagonizing others through swearing, nationalist, racist and anti-immigrant talk and the responses of carriage members to her confrontational talk. Our analysis uses a video recording of the event made by a passenger that circulated widely on social and news media. We document multiple forms of response, including the video-witnessing itself. We describe how the trouble-making passenger antagonizes other passengers in order to produce opponents. In addition, we track how members of the carriage, in responding, show their right to respond, seek to avoid the terms of the confrontation and, once constituted as political opponents, their opposition to the politics being expressed. In examining the responses to the trouble-making and the politics being contested between the persons involved and, in tracking how public transport is attempted to be transformed into an ad hoc agora, we contribute to Barnett's work on convening public space, ordinary action, and politics in human geography. [ABSTRACT FROM AUTHOR]

Measures to reduce transport-related greenhouse gas emissions are of great importance to policy-makers. A recent example is the nationwide KlimaTicket in Austria, a country with a relatively high share of transport-related emissions. The cheap yearly season ticket introduced in October 2021 allows unlimited access to Austria's public transport network. Using the synthetic control and synthetic difference-in-differences methods, we assess the causal effect of this policy on rail travel demand by constructing a data-driven counterfactual out of European railway companies to mimic the number of passengers of the Austrian Federal Railways (ÖBB) without the KlimaTicket. Overall, the results indicate that the KlimaTicket has no short-run passenger growth effects. While passenger numbers recovered faster after the COVID-19 pandemic, in 2023, the passenger growth rate of the ÖBB is even lower than it would be under no treatment. • First paper assessing the causal effect of the KlimaTicket launched in Austria in 2021 on rail travel demand. • Showing that the introduction of a cheap nationwide public transport travel pass in Austria had no passenger growth effects. • Presenting a study design of how comparable pricing measures can be analyzed in the future. [ABSTRACT FROM AUTHOR]

• Study investigates intermodality's role in influencing traveler decisions. • SEM model, based on Ajzen's TRA, introduces intermodality as a moderator. • Intermodality radically affects rail ridership. • Lack of intermodality hinders rail use more than low comfort, security, speed. • Perceived environmental benefits positively influence travel frequency. [ABSTRACT FROM AUTHOR]

The digitisation of transport services has led to the implementation of so-called demand-responsive transport (DRT) systems with varying setups and goals around the globe. Numerous approaches have been made to account for differences in the local circumstances and regulations to achieve the most successful outcome for those services in both, rural and urban areas. The reasons for their widespread popularity are the envisaged benefits of economically reasonable operations combined with ecologically and socially beneficial traffic. Yet, while some DRT systems persist over an extended period, many fail to become a permanent passenger transportation option, especially in rural areas. This paper shall explore parameters suited to measure the success of a DRT system and structure their inter-dependencies. Firstly, the paper presents types of flexibility and their different gradations in order to classify varying systems. Secondly, suitable and already used parameters to measure figures of DRT systems like travelled distances and vehicle occupations are examined and with their respective application cases lucidly compared. Thirdly, the paper proposes a four-step evaluation framework and discusses existing and new approaches to comparing the success of different flexible transport systems and future possibilities. • DRT services vary widely in setup and purpose and are tailored to specific contexts. • We review DRT services and differentiate along e. g. temporal and spatial flexibility. • Evaluation measures lack consistency for this transportation mode. • We gather stakeholder parameters and performance metrics for potential assessments. • Propose a framework for evaluating DRT services in research and operation. [ABSTRACT FROM AUTHOR]

The perception of safety while using public transportation varies among individuals, influenced by personal experiences and individual characteristics. Closed-circuit television (CCTV) systems are commonly employed to deter crime in public areas, including transit environments where safety concerns are prevalent. This study aims to scientifically assess the effectiveness of CCTV in enhancing the perceived safety of public transportation users. A comprehensive survey was conducted, involving over 200 students from various universities to ensure a representative sample. The survey targeted public transportation users and focused on their sense of security in relation to the presence of CCTV. Through quantitative analysis, three specific research questions were addressed. The results indicate that the presence of CCTV alone is insufficient to significantly improve feelings of safety among public transportation users. These findings suggest important policy implications: enhancing perceived safety in public transportation requires more than just the implementation of security measures. It is essential to inform and educate the public about actual crime rates, existing security measures, and the importance of crime reporting. This comprehensive approach can more effectively address the multifaceted nature of safety perception in public transportation. [ABSTRACT FROM AUTHOR]

Urban mobility in the Global South presents unique challenges for public transport (PT) and emerging shared mobility (SM) services influenced by socio-economic factors, mobility attitudes, and urban form. This study examines the factors shaping mode choice behavior between PT and SM services in four communities each in Dubai and Lahore. Additionally, it analyses the impact of primary daily activities on PT and SM preferences in both cities. Data from 1,653 Dubai and 1,603 Lahore residents were analyzed using four binary logistic regression models. Results indicate that socio-demographic factors (age, gender, household car ownership, driver's license possession, education level, and weekly commuting trips) and mobility attitudes (ride-sharing, ride-hailing, pro-personal car) significantly influence PT and SM choices. Key determinants vary by neighborhood type, including link-node ratio, intersection and road length density, and car and PT commute times. The influence of primary daily activities (work or study) on the choice of PT and SM modes was found to be moderate in Dubai. The study highlights the need for tailored urban and transport policies to promote sustainable modes, considering neighborhood characteristics and demographics. [ABSTRACT FROM AUTHOR]

As a new, highly complex, and far‐reaching technology, autonomous driving can be associated with various fears and uncertainties. However, recent findings show that high trait anxiety can positively contribute to the intention to use (ITU) autonomous vehicles (AVs). An explanation for this is that the possibility of handing over one's driving control to artificial intelligence (AI) is even more relieving for more anxious people. Our study aimed to test whether this explanation can be supported by investigating to what extent this relationship can be applied to buses in which control is handed over per se–in the conventional bus to a driver, and in the autonomous bus to the AI. We also analyzed how the fear of giving up control mediates the relationship between trait anxiety and ITU. In a quasi‐experimental study, 253 subjects were surveyed while riding an autonomous or conventional electric bus. The results confirmed a positive association between trait anxiety and ITU in the overall sample but not in the autonomous and conventional subsamples. Contrary to our assumptions, fear of giving up control served as a slightly suppressive but not significant mediator. The results were independent of whether control was handed over to a human driver in the conventional electric bus or to AI in the autonomous bus. Our study thus provides fundamental new insights into the acceptance of AVs and buses in general and opens the door for subsequent research based on these findings. [ABSTRACT FROM AUTHOR]

AbstractThe local trains of Mumbai, known for their excessive crowding and cramped conditions, are a popular public transport system due to the vast spread of the network and cheap pricing. These trains are also used extensively by women due to the provision of exclusive segregated ladies’ compartments. However, women still need to negotiate with crowds, and push and jostle as they struggle to board and deboard trains. Through an ethnographic study of women’s experiences of travelling by trains, I examine how women learn to be mobile and teach others, such as their children, to navigate the local train system. Analysing women’s narratives of how they learnt to use trains, I find that teaching mobility and teaching gender go hand-in-hand, as women simultaneously internalise codes of appropriate femininity to protect themselves from physical and sexual harm, but also subvert mainstream femininities, as they embark on their everyday train journeys. [ABSTRACT FROM AUTHOR]

• This article explores how psychology professionals understand and treat the mobility issues of people diagnosed with anxiety disorder. • The mobility problems their clients experience affect their daily lives. • Most of the interviewed psychology professionals suggest that adjustments in the mobility system could assist individuals with anxiety disorders to participate more fully in society. • Directions for interventions are suggested, each with a strong link to ongoing debates in the transport and urban planning professions. In this paper, we explore how psychology professionals understand and treat the mobility issues of people diagnosed with anxiety disorder, based on 13 in-depth interviews. All interviewees regularly treat clients facing challenges using various modes of transportation due to anxiety disorders. Their clients exhibit a range of mobility issues, with some struggling with driving or being a passenger in a car, while others encounter difficulties when using public transport, cycling, or being a pedestrian. The mobility problems their clients experience affect their daily lives. Next to applying individual Cognitive Behavioral Therapy (CBT) adopted by most interviewees, they also suggest that adjustments in the mobility system could assist individuals with anxiety disorders to participate more fully in society. Hence, we advocate for more research on the mobility system that integrates psychological perspectives on mobility-related problems caused by anxiety disorder to support a more inclusive mobility planning, design, and organization of the system. Inclusive planning implies (1) designing mainstream infrastructures and services enabling people with anxiety disorders to move around independently while reducing anxiety-triggering situations without them becoming disclosed; (2) enhancing walkability and cyclability through both transport and land use planning, since having destinations within a short distance from home seems to be especially beneficial for people with anxiety disorders. [ABSTRACT FROM AUTHOR]

This paper describes the outcome of a study to investigate the regional public transport spend in each state of Australia. The objective is to derive a reliable figure for comparison and the core metric used is spend per capita. The study assessed publicly available data on public transport spend, followed by a series of consultations with key staff from state bus associations and governments. The analysis was conducted separately for metropolitan (metro) and regional areas and then the regional data were further examined. While the Northern Territory (NT), Tasmania (TAS) and regional South Australia (SA) completely rely on bus services, Victoria (VIC) stands out as the state with the highest public transport spend per head in regional areas with robust train and bus networks which deliver the highest patronage. Western Australia (WA) is the state with the highest bus transport spend per head ensuring relatively high patronage despite the low population density. The study identifies low public transport patronage in regional areas as being influenced by low spending per capita and poor connectivity. It recommends prioritizing improvements in connectivity, multi-modal networks, and opening school buses to the general public. Additionally, funding strategies should focus more on patronage trends linked to spend rather than overemphasizing population density. Further, the study reveals that publicly available data seldom clearly segregates public transport spending in terms of regional and metro expenditure, which would lead to inefficiencies when assessing spatial equity in public transport provision. [ABSTRACT FROM AUTHOR]

Independent transport mobility is an important contributor to health, well-being, and participation. Several skills and competences are required for a person to use the transport system. The characteristics of cognitive disorders, such as Autism Spectrum Disorder (ASD) and Attention deficit/hyperactivity disorder (ADHD), may pose barriers to independent travel. Methods: The study's aim was to synthesise knowledge on the use of public transport among individuals with ASD or ADHD using the whole journey chain perspective. A scoping review using the PRISMA ScR framework was conducted, and included articles published between January 2012 and June 2022. A total of 11 studies from four countries were included in the analysis. Results: This study complements the whole journey chain perspective with a phase that takes place long before the journey begins, and which concerns planning and preparation. Confident travellers could easily learn new routes, while those lacking confidence faced challenges, especially with unexpected route changes or cancellations. Conclusions: There is a great need for emphasis on the design of public transport facilities and public spaces to increase the sense of safety for travellers with ASD, and to assist them with information-seeking, comprehension, and recovery between journeys. [ABSTRACT FROM AUTHOR]

Decline in the use of public transit by commuters have increased the use of private vehicles, causing higher levels of traffic congestion, accidents, etc. The present study aims to identify major latent attributes influencing the behaviour of government employees working in the study area by using an integrated mode choice model. The unobservable attributes that influence mode selection decisions were analysed using the semantic differential technique and a five-point bipolar adjective scale. Conventional mode choice models and latent variable integrated mode choice models were developed for four different modes. Sensitivity analysis was carried out to assess the impact of significant variables which has revealed that 15% decrease in travel time on public transport could lead to a 17% increase in ridership. This study also identified significant variables that influence mode selection decisions and formulated policies to increase the use of public transport in medium-sized cities. [ABSTRACT FROM AUTHOR]

Previous research shows that well-grounded knowledge of the intended travellers is essential for achieving successful DRT services. However, there is a lack of understanding of the potential travels in different age groups, and the acceptance of design alternatives that may affect these. Based on surveys conducted in Sweden, this paper investigates these factors in a hypothetical DRT service, in the age groups 6–17, 18–69 and over 70 years. A total of 1241 people answered the questionnaires. The results show that the age groups have similar acceptance regarding delays and departure time intervals. Older adults have lower acceptance of digital solutions, and children and older adults have stronger requirements for value-added services. About 85–90% of the respondents claim they would use the service, at least occasionally. The results also show how a DRT system should be configured to allow room for system efficiency gains, while still being accepted by most travellers. [ABSTRACT FROM AUTHOR]

The twin challenge of increasing capacity to accommodate growing travel demand while simultaneously decarbonizing the transport sector places enormous pressure on public transport (PT) systems globally. Arguably the most fundamental policy choice and trade-off in designing and operating PT systems in the coming years will be service levels versus cost implications. On the presumption that public (citizen and consumer) opinion is crucial to making such choices, we study this question with a focus on Switzerland by using a factorial experiment (n = 1′634) that considers the frequency and geographic coverage of PT services as well as the cost implications for PT users and taxpayers. We find that support for increased frequency of connections and more services to peripheral regions is high as long as such service expansion is funded mainly by the government, rather than PT users. Preferences are generally consistent across subgroups, except in the case of government funding, where preferences differ by political orientation. This suggests that there is substantial demand across the board for PT services expansion funded primarily by the government, but that the question of funding is also potentially politically the most controversial. While our findings are specific to a country with a highly developed PT system, our research provides a template for similar research in other countries that struggle with a similar challenge. • Public supports expanding public transport (PT) services, favoring increased connections and reduced personal costs. • Increasing public funding is key for public support. • Personal affectedness and political orientation have minimal impact on preferences with the exception of government funding. • Findings reveal nuanced support for demand-based PT service provision – as long as ticket prices are reduced. [ABSTRACT FROM AUTHOR]

This paper aims to provide a comparative evaluation of public transport options for two cities of different scales. The study utilizes the Best Worst Method (BWM) based on the TOPSIS and also conventional economic assessment techniques. This comprehensive evaluation takes into account both monetary and nonmonetary impacts of public transport. The results of the study indicate that in terms of conventional economic assessment, Bus Rapid Transit (BRT) and tram systems are profitable for Kskisebir (small & medium-sized city), while all systems are profitable for Istanbul (metropolis city). These results suggest that public transport options for small & medium-sized cities are limited and the wrong public transport system selection can lead to significant economic losses. Additionally, the study emphasizes the importance of public transport for metropolis cities, as each system has diverse and crucial economic effects. According to the findings of BWM, the research highlights relationship between capacity, technology and economy-budget. Also, the study shows the positive impact of rail systems on the urban image-prestige, as many governments prefer rail systems due to their positive association with urban development. Conversely, BRT systems are negatively affected in terms of urban image due to their indirect relationship with buses. The vehicle cost comparison between rail system vehicles and BRT vehicles further supports this observation. Ranking and the best option were listed as BRT, metro, LRT, monorail and tram for two city-sized, according to Best Worst-based TOPSIS results. In conclusion, this study provides valuable insights into the comparative evaluation of public transport systems for two cities of different scales. It emphasizes the need for careful consideration of monetary and non-monetary impacts when selecting the most suitable public transport option. The findings can assist policymakers and urban planners in making informed decisions regarding public transport infrastructure. [ABSTRACT FROM AUTHOR]

The study explores the dynamics of public transport regulation, deregulation, and reform within the context of Tver in Russia. As developing nations face increased transportation demand and industrialized regions grapple with environmental concerns policymakers are challenged to choose appropriate regulatory frameworks. Historically, different stages of economic development have led to diverse approaches, ranging from publicly owned enterprises to natural monopoly regulation. Primary objective of the study is to conduct a spatial analysis of the new public transport route network in Tver and its suburb, examining alterations, accessibility, and travel times. To achieve this, methodologies, and data parameters such as Geographic Information System (GIS) tools for spatial analysis, creation of buffer zones around public transport stops to assess accessibility, population coverage analysis to understand the demographic impact, and isochrones mapping to evaluate changes in travel times and accessibility were employed. These methods allowed for a detailed assessment of the network's alterations, accessibility, and the impact on travel times following the transfer of planning authority. Additionally, population access to transport services was assessed through demographic coverage analysis, determining the proportion of the population within a designated distance from stops. These quantifications provided insights into the effects of transferring planning authority on the regional public transport system's accessibility and efficiency. Tver's experience illustrates the potential outcomes of transport reform, with intracity and intraregional routes merged into a unified passenger transportation system. This transformation holds promise for regional development. In summary, this study offers insights into public transport regulation and reform dynamics, using the Tver case to analyze the consequences for accessibility and service quality. [ABSTRACT FROM AUTHOR]

The visual communication of behavioural expectations plays an important role in the management of contemporary urban spaces. This is evident in mass transit settings where posters and signage promoting good mobility practices are a common sight. Despite the prevalence of such semiotic interventions in passenger conduct in public transport environments globally (see Bissell's Transit Life: How Commuting Is Transforming Our Cities, 2018; Moore's 'Preventing anti-social behaviour on public transport: An alternative route?', 2010; and Ureta's 'Waiting for the barbarians: Disciplinary devices on Metro de Santiago, 2012), their visual structure has only received limited scholarly attention. This article seeks to address this oversight through a visual analysis of 'manner posters' issued by Japanese railway providers. Using a two-pronged content analysis approach, the author examines the design strategies employed to problematise passenger misconduct and solicit desirable mobility practices while simultaneously protecting customer sensibilities. Focusing on character figuration, image–viewer relations and the portrayal of misconduct, the article argues that manner posters inscribe behavioural expectations into the physical transport environment by modelling their narrative visual content after actual commuter experiences and using salience-increasing design techniques to highlight etiquette transgressions. As an in-depth visual analysis of transit manner posters, the article thus advances our understanding of the strategic use of visual communication for the management of everyday behaviour and the production and maintenance of public order in contemporary cities. [ABSTRACT FROM AUTHOR]

For metropolises like Beijing, heavy congestions cause transit passengers' unreliable travel time, including in vehicle time and waiting time. Comparing with other managerial measures, designing a lane for bus use only is an effective method to improve travel reliability, for it can eliminate the influence on bus-driving conditions. This paper proposes a reliable and practical method to determine exclusive bus lanes (EBL). A reliability-based optimization model is established, in which the tradeoff among bus and private car passengers' travel time, reliability, and EBL construction cost are considered. Based on the actual network, a user equilibrium demand assignment model is applied to estimate the dynamic bus flow distribution. Since the model is nonlinear, a two-step method is proposed where tangent lines are introduced to constitute an envelope curve to linearize the model. This work conducts the statistical modeling and fitting analysis with actual bus trajectory data, collected on EBL in Beijing during peak hours. Passenger travel time distributions are fitted to estimate the statistical passenger travel time; Lognormal distribution and Gaussian distribution are the best fit. The optimization results indicate that the passenger travel time reliability can be improved by 5.5% by the optimized EBL location scheme. This study will provide a theoretical basis and methodological support for improving the service level of the public transportation system in large cities through the scientific planning of exclusive bus lanes. [ABSTRACT FROM AUTHOR]

Customized bus services typically focus on single‐trip requests, which often struggle to accommodate the growing needs for varied multiple trips in urban daily travel. This paper addresses the customized bus routing problem for passengers with multiple trips. A bi‐objective mathematical model is established for maximizing the operational profit and minimizing the travel costs by considering the characteristics of the multi‐trip requests and time‐dependent travel time. Besides, a novel profit objective function is proposed considering the service's completion status and the starting price. Since the proposed mixed integer linear programming model is an NP‐hard problem, a non‐dominated sorting genetic algorithm II‐based method is proposed to handle different sizes of instances. Finally, the instances with multi‐trip requests are carried out to test the accuracy of the model and the effectiveness of our method compared with Gurobi and the local search‐based multi‐objective algorithm approach. [ABSTRACT FROM AUTHOR]

In recent years, accessibility to services and activities using sustainable transport modes has become an important goal for land use and transport planning policies. Traditional approaches rely on objective measures, such as travel time, distance, costs, and other spatial data, overlooking personal preferences, experiences, demographic features, and socio-cultural and economic dynamics. Attributes that affect perceptions of accessibility require attention but our understanding of the factors influencing perceived accessibility is inadequate, particularly in Australia's expanding suburbs. Through a literature review and questionnaire surveys, this study aims to take into account various travel characteristics and enhance the understanding of how perceived safety and service quality impact mobility behaviour and perceived accessibility within the Australian context. The study found that perceived safety and service quality have significant impacts on perceived accessibility and hence influence the use of public transport. We have identified critical factors that require proper consideration in transport and land use planning and policies to enable a better contribution from public transport to the liveability and well-being of residents in Australian suburbs. [ABSTRACT FROM AUTHOR]

This paper introduces a simulation model designed as a decision-making tool to assess and analyze various crowd management strategies with a focus on enhancing sustainability in airport operations. This model specifically addresses the challenges and risks associated with managing passenger flows within airport terminals. By simulating different scenarios, the model aims to provide valuable insights into how to effectively handle crowd dynamics and enhance overall terminal efficiency, safety, and sustainability. This case study was conducted at Henri Coanda International Airport, ARENA 12 simulation software being used in order to model the passenger flows within the airport terminal. Two scenarios were considered: The first one involves maintaining a fixed number of security and check-in desks for the two airline groups. In contrast, the second scenario allows for a variable number of security and check-in desks for the same airline groups. By optimizing resource allocation and minimizing waiting time, this model contributes to more sustainable airport management operations. Three measures of performance (MOPs) were selected to assess the system activity: the average passenger waiting time, the average passenger number queue length, and the average utilization rate. Comparing the results, we concluded that the second scenario shows a relative improvement in almost all performance measures when compared to the first scenario. [ABSTRACT FROM AUTHOR]

AbstractThis article explores the entanglements of bodies, affects and infrastructures that give shape to the experiences, practices and sense-making of everyday mobilities among metro passengers in contemporary China. Building on the affective turn and infrastructural turn, this paper argues that passengering is an affectively charged and infrastructurally mediated process of forming and negotiating mobile subjectivities. Drawing on in-depth interviews and ethnographic observations, this paper demonstrates how ‘squeezing in’ is a core space-making practice among Chinese passengers that involves not only acquiring bodily skills, habits, and tactics but also engaging in affective capacities to negotiate modes of feeling and affective relations on the move. Moreover, situating the analysis in the specific context of infrastructural development and citizenship cultivation in contemporary China, this paper reveals how the norms, regulations and practices of ‘good ridership’ is closely entangled with the narrative of ‘quality citizenship’ in post-reform China. This paper thus enriches existing literature on passenger mobilities through providing new empirical insights and conceptual contemplation on what it means to be a passenger. [ABSTRACT FROM AUTHOR]

AbstractThis article asks why Tokyo’s crowded trains were largely absent from official discourses of viral risk in Japan during the COVID-19 pandemic. While public transport environments were often framed as spaces of contagion in other countries, Japanese public health discourses instead tended to emphasize the viral safety of urban railway transport. Drawing on an analysis of media and expert discourse, auto-ethnographic fieldwork, and repeat interviews with commuters, this article examines the processes through which Tokyo’s urban railway network was extracted from discourses of viral risk. It identifies four factors that contributed to this: (1) dominant definitions of risk spaces in public health messaging, (2) trains’ integral role in the operation of socio-economic life, (3) elusiveness of public transport in the epidemiological data, and (4) a focus on “unruly” passenger conduct. This analysis of the selective treatment of viral risks is tied to a critical engagement with theoretical distinctions between “essential” and “existential” mobilities developed in prior anthropological scholarship on the pandemic. Exploring the discursive framing of pandemic mobility practices on one of the world’s most extensive urban railway networks, the article thus contributes to the anthropological study of mobilities and transport in Japan and beyond. [ABSTRACT FROM AUTHOR]

Nature-inspired algorithms allow us to solve many problems related to the search for optimal solutions. One such issue is the problem of searching for optimal routes. In this paper, ant colony optimization is used to search for optimal tram routes. Ant colony optimization is a method inspired by the behavior of ants in nature, which as a group are able to successfully find optimal routes from the nest to food. The aim of this paper is to present a practical application of the algorithm as a tool for public transport network planning. In urban public transport, travel time is crucial. It is a major factor in passengers' choice of transport mode. Therefore, in this paper, the objective function determining the operation of the algorithm is driving time. Scheduled time, real time and theoretical time are analyzed and compared. The routes are then compared with each other in order to select the optimal solution. A case study involving one of the largest tramway networks in Poland demonstrates the effectiveness of the nature-inspired algorithm. The obtained results allow route optimization by selecting the route with the shortest travel time. Thus, the development of the entire network is also possible. In addition, due to its versatility, the method can be applied to various modes of transport. [ABSTRACT FROM AUTHOR]

Accurate prediction of bus arrival times can greatly benefit public transport users, allowing them to better plan their journeys in cities. The usual Expected Time of Arrival (ETA) estimators provided to citizens use all the information available to the bus service provider (vehicle position, traffic, etc.); in this paper we propose a procedure to improve these estimators that relies solely on historical ETA records provided by public transport councils through application programming interfaces (APIs). This improvement is achieved by means of a machine learning scheme that predicts and corrects the systematic errors of the available ETA estimators. Significant improvements in terms of error mean and standard deviation are achieved for the Madrid and Paris bus fleets. These robust results and the fact that the proposed scheme uses only historical and online information provided by APIs, without requiring the cooperation of the service provider, support the suitability of the proposed method for general public benefit applications toward the sustainability of cities. [ABSTRACT FROM AUTHOR]

This paper complements the existing literature on Bike Share Schemes (BSS) by investigating their use from a spatiotemporal perspective to assess their relationship with public transport (PT). We address these questions through the case of Brussels and its long-standing docked BSS 'Villo!'. Our study analyses comprehensive (consecutive 12 months) and disaggregated (station level) data on rentals and returns and finds that Villo! is used mostly in dense (although not all) districts also well served by PT. However, temporal structures suggest Villo! overtakes PT at night in vibrant districts and possibly in selected districts with lower PT services over weekends. In addition, Villo! stations at key PT hubs usually do not show specific temporal patterns, which suggests intermodality may work at all times during PT operations. There could be an evening peak effect combined with the Brussels' topography, but this needs to be confirmed by on-site surveys. [ABSTRACT FROM AUTHOR]

This study focuses on solving the problem of metro first/last mile, studying the method for designing microcirculation bus routes and coordinating schedules considering the impact of shared bicycles. First, we propose a bilevel mixed-integer programming model for designing microcirculation bus routes and coordinating schedules considering the impact of shared bicycles. The upper-level model minimizes the weighted sum of the travel time cost of passengers and the operating cost of public transport enterprises, and the lower-level model maximizes the number of passengers served by microcirculation bus routes. Then, an improved genetic algorithm is developed to solve the model, called the Monte Carlo adaptive genetic algorithm (M-GAI). Finally, the proposed model and algorithm are evaluated using the case study in the area near the Fubao metro station of Shenzhen Metro Line 3. Results show that if the impact of shared bicycles is not considered, the passenger demand will be greater than the actual value, and the operating cost of public transport enterprises will be increased by 36%. Compared with GAI, the average number of iterations of M-GAI is reduced by 31%, and the objective function value is decreased by 4%. In addition, when the number of routes increases, the average waiting time of passengers is shortened, the average attendance rate of microcirculation buses increases, and the average empty distance of each vehicle is shortened. However, the operating cost of public transport enterprises will increase with the number of routes. Finally, when weight factors α and β are 0.6 and 0.4, respectively, and the sum of the travel time cost of passengers and the operating cost of public transport enterprises reach optimal. [ABSTRACT FROM AUTHOR]

This article analyzes representations of mobility and public transport in the following Mozambican novels: Terra Sonâmbula [Sleepwalking Land] (1992), O Outro Pé da Sereia [The Mermaid's Other Foot] (2006) by Mia Couto, O Comboio de Sal e Açúcar [The Train of Salt and Sugar] (1999) by Licínio Azevedo, and Museu da Revolução [Museum of the Revolution] (2022) by João Paulo Borges Coelho. Despite the importance of mobility and public transport in these works, existing scholarship has not considered these themes but has opted for more traditional categories such as 'travel', 'diaspora', and 'migration'. Focusing on the literary portrayals of public transport and infrastructure of mobility – i.e. buses, ships, and railway stations (Couto), a slow-moving train (Azevedo), and a Toyota Hiace car (Borges Coelho) – this article aims to demonstrate the central role that the mobility/immobility binomial plays in the representation of post-independent Mozambique. The main argument of this article is that the images of the railway, the road, automobility, and maritime travel are the literal driving force of the narratives and contribute to the (un)building of the national space. I use literary perspectives on mobility studies and world-system approaches developed within the framework of world-literature (Warwick Research Collective) to demonstrate that the tropes of mobility and the representations of public transport in the four novels register and encode the social, political, and economic transitions in Mozambique's colonial and post-colonial history and its incorporation into the capitalist world-system. [ABSTRACT FROM AUTHOR]

This article discusses the link between public transport and literary practices by analyzing Imraan Coovadia's 2012 novel, The Institute for Taxi Poetry. In this novel, Coovadia comments on South Africa's palimpsestic history from the precolonial to the postcolonial. One way in which Coovadia does this is through the motif of the taxi. The taxi refers to a mini-bus taxi which in South Africa is a form of public transport primarily used by people from working-class backgrounds. Another way concerns the proposal of a fictional genre that plays a prominent role in this novel: taxi poetry. The article explores the ways in which the novel uses the taxi and submarine vessels to open up the geography of the sea as a transport surface whose impact on the histories of the dispossessed is visible from both below and above the waterline. Through engagement with the humanities turn in mobility studies and with scholarship in the oceanic humanities from the Global South, the article argues that the national and terrestrial readings of public transport in African literature(s) undervalue the sea, a prominent transport arena in Coovadia's novel, as both a space of transit as well as a public space with shared transnational histories. The article engages the novel's imagined literary sub-genre to evaluate how the text's subterranean extensions of the South African taxi industry, and public transport generally, unearth the layered narrative of South Africa as nation. [ABSTRACT FROM AUTHOR]

A close reading of literary representations of Johannesburg's public transport in the early decades of the 20th century gives insight into the intricate way in which freedom, mobility, and narratives of progressive modernity interlink with urban mobility regimes of public transportation. The literary representations mark public transport simultaneously as progressive and oppressive, depending on access. Where access is denied, public vehicles become part of an oppressive racist mobility regime and exclude individuals from formative experiences of collective belonging. The present analysis engages with selected concepts from the field of mobility studies, namely Cresswell's thoughts on the relationship of mobility and modern citizenship, Bissell's observations regarding 'mobile collectives', and the idea of 'throwntogetherness' by the social geographer Massey. These will be used to analyze the gatekeeping function of public transport in representations of early Johannesburg, where black, male, urban subjecthood is negotiated against white urban modernity. [ABSTRACT FROM AUTHOR]

Individual mobility is driven by activities and thus restricted geographically, especially for trip destination prediction in public transport. Existing statistical learning based models focus on extracting mobility regularity in predicting an individual's mobility. However, they are limited in modeling varied spatial mobility patterns driven by the same activity (e.g. an individual may travel to different locations for shopping). The paper proposes a deep learning model with activity, geographic and sequential (DeepAGS) information in predicting an individual's next trip destination in public transport. DeepAGS models the semantic features of activity and geography by using word embedding and graph convolutional network. An adaptive neural fusion gate mechanism is proposed to dynamically fuse the mobility activity and geographical information given the current trip information. Besides, DeepAGS uses the gated recurrent unit to capture the temporal mobility regularity. The approach is validated by using a real‐world smartcard dataset in urban railway systems and comparing with state‐of‐the‐art models. The results show that the proposed model outperforms its peers in terms of accuracy and robustness by effectively integrating the activity and geographical information relevant to a trip context. Also, we illustrate and verify the working mechanism of the DeepAGS model using the synthetic data constructed using real‐world data. The DeepAGS model captures both the activity and geographic information of hidden mobility activities and thus could be potentially applicable to other mobility prediction tasks, such as bus trip destinations and individual GPS locations. [ABSTRACT FROM AUTHOR]

Metro systems play an important role in reducing urban traffic congestion and promoting the sustainable development of urban transport in megacities. With the expansion of a metro network, transfer stations are necessary for increasing the service connectivity of a metro network. An accurate estimation of transfer passenger flow can help improve the operations management of a metro system. This study proposes a data‐driven methodology for estimating the transfer passenger flow volume of each transfer station in a metro network by mining smart card data. The estimated transfer passenger flow data are visualized to show the spatial‐temporal distribution characteristics of metro transfer passenger flow. The case study results of the Shenzhen Metro network demonstrate that the proposed data‐driven methodological framework is very effective in estimating different types of transfer passenger flows, such as total transfer passenger flow, hourly transfer passenger flow, and inbound and outbound transfer flows at each transfer station. The spatial‐temporal distribution characteristics of transfer passenger flow can be very useful for designing effective and efficient passenger flow management measures to ensure the safe and efficient operation of a metro system. [ABSTRACT FROM AUTHOR]

Validation of travel demand models, although recognised as important, is seldom undertaken. This study adds to the scarce literature in this field by undertaking an external validation of a multi-modal transit route choice model. The model was estimated using smart card data for the urban transit network of Amsterdam before the introduction of a new metro line and is used to predict changes in travel behaviour after the network change. To validate, the model was checked for changes in estimated parameters between the two time periods, and predictive ability was evaluated at different aggregation levels. Although most model parameters were found to be unstable between the two contexts, the predictive performance at all levels was similar to the locally estimated model. Moreover, individual choices and transit mode-share predictions were found to be close to the observed ones. The errors were relatively larger for the link and route-level predictions, some of which could be attributed to the assumptions made regarding consideration choice set given as input to the model. On comparing alternative model specifications, using generic instead of mode-specific travel attributes lead to a strong degradation in predictive performance. Conversely, a model incorporating overlap between routes, with a better model fit in the base period, did not offer a clear improvement in prediction performance. The study highlights the need to validate transit route choice models before using them for deriving policy recommendations, especially in this data-rich age in which it can often be undertaken at a relatively low additional cost. [ABSTRACT FROM AUTHOR]

The environmental commitment of public transport authorities plays a role in addressing the challenges ahead. After the COVID-19 pandemic, we can analyze the strength of green commitments during that turbulent time. Green public procurement (GPP) is a government tool dedicated to mitigating the environmental impact of public acquisitions. These actions can be monitored as an indicator that captures efforts for green actions by organizations. GPP adoption rates among public transport suppliers are comparable across countries because they operate in the same sector and share characteristics that facilitate comparison. In this study, the largest public transport suppliers in 38 European cities are compared from 2010 to 2023. A subsample of 13,280 contract notices was employed for the public transport sector from the Tender Electronic Database and GPP adoption was found to be higher on bus vehicle acquisitions than on tramway/metro vehicle acquisitions. During the COVID-19 pandemic, there was a marked GPP fall. These findings also indicate that while GPP adoption rates are higher among the 38 large public transport suppliers compared with medium and lower ones, the largest ones are not the front-runners in terms of GPP adoption. Our results suggest that environmental priorities are not as significant as one might expect. [ABSTRACT FROM AUTHOR]

In the article, under field conditions (on the lane of a city road for public transport), using modeling and traffic flow analysis methods, the formation of ruts on an asphalt concrete pavement is studied. The maximum total rut depth on the road section under consideration reaches 110 mm. 715 buses and 25 trucks pass along a separate lane of the road per day, the relative rutting impact of which is from 5.68 to 16.41 compared to the design vehicle. The design of the road pavement on the experimental section with a total thickness of 48 cm is too weak for the actual traffic flow, which was the main reason for the premature failure of the road due to unacceptable rut sizes on the asphalt concrete pavement. [ABSTRACT FROM AUTHOR]

This article examines a distinctive and debated social group called the "Baboos" in late colonial India, particularly in Bengal. The Baboos represented the Western-educated, aspiring middle class who were integral to the British administration. They were often viewed skeptically for adopting the English language and Western lifestyle. This study delves into the quotidian lives of the Baboos, particularly their interactions with the colonial rulers in public transport, which became a crucial contact zone. Despite facing racial conflicts and discrimination in these shared spaces, the Baboos were not passive victims. They used diverse strategies to combat injustices and voice their grievances publicly. Within this larger narrative of discriminating treatment, another power narrative was played out by the Baboos among their own population. Conscious of their distinct functional status, the Baboos sought to distance themselves from those Indians who did not match their ideas of "respect". Everyday experiences formed the basis of the public outrage reflected continually in regional newspapers and, subsequently, in the larger narratives of resistance and nationalism. How the Baboos negotiated their position in the public spaces sheds light on their claims of civil rights and their ways of using the colonizer's tropes of equality, justice, and fairness back at them. [ABSTRACT FROM AUTHOR]

Public transport disruptions are conducive to disorientation narratives in which the temporal aspects of the experience are central, but it is difficult to collect psychometric data at the moment of disruption to quantify the occurring underlying feelings. We propose a new real-time survey distribution method based on travellers' interaction with disruption announcements on social media. We analyse 456 responses in the Paris area and find that travellers experience time slowing down and their destination feeling temporally farther away when undergoing traffic disruptions. Time dilation is more pronounced for people filling out the survey while still presently experiencing the disruption, suggesting that over time people remember a compressed version of their disorientation. Conflicted time feelings about the disruption, e.g., both faster and slower feelings of the passage of time, appear the longer the recollection delay. Travellers in a stopped train seem to change their itinerary not because the alternative journey feels shorter (it does not), but because it makes time pass faster. Time distortions are phenomenological hallmarks of public transport disruptions, but these distortions are poor predictors of confusion per se. Public transport operators can alleviate the time dilation experienced by their travellers by clearly stating whether they should reorient or wait for recovery when incidents occur. Our real-time survey distribution method can be used for the psychological study of crises, where a timely and targeted distribution is of paramount importance. [ABSTRACT FROM AUTHOR]

In view of success stories of unicorn startups from the sharing and gig economy such as Airbnb, DiDi, or Uber, it is not surprising that postal service providers try to transfer the sharing idea toward their last-mile delivery services: owners of under-used assets (here private crowdshippers traveling anyway) are connected with users willing to pay for the use of these assets (here postal service providers having to deliver parcels). In this paper, we consider a special form of crowdshipping where public transport users, steered by a smartphone app, pick up parcels from parcel lockers, take these shipments with them on their subway rides, and deposit these parcels into other lockers. Finally, the actual recipients can pick up their shipments from their most convenient parcel lockers, e.g., on their own way back home from work. We formulate the optimization problem that matches crowdshipping demand and supply and determines the routes along lockers and crowdshippers each parcel takes. Specifically, we allow that each parcel is moved by multiple cooperating crowdshippers and solve this problem with different objective functions capturing the individual aims of the main stakeholders: shippers, crowdshippers, recipients, and the platform provider. We evaluate the relationship of these objectives and quantify the efficiency loss of a more restricted matching policy, where only a single crowdshipper can be assigned to each parcel's complete path between origin and destination. Finally, we also explore the impact of delays and investigate whether specific objectives protect against unforeseen events. [ABSTRACT FROM AUTHOR]

While extensive research has been conducted to explore factors influencing mode choices and first- or last-mile connectivity, few studies have delved into the underlying hierarchy of decision making processes. An understanding of this hierarchy, which illustrates causal relationships, is crucial for modeling travel decisions, as trip structure depends on choice behavior and vice versa. Traditional mode choice models often neglect these underlying causal relationships, necessitating the development of new models. By incorporating mediating effects of trip chaining and mode choice, alongside traditional factors, a more holistic understanding of mode choice behavior is achieved. In this study, hierarchical relationships are identified between trip chaining and mode choice in Hyderabad, India, using a structural equation modeling (SEM) method, owing to its inherent strength in handling latent causal relationships. SEM analysis provides the total effects of sociodemographic variables on mode choices and trip chain types through these causal relationships. Findings reveal that, for nonwork trips, the decision making process is simultaneous, regardless of the mode chosen. In contrast, for work trips, the decision making process is simultaneous for active and public modes, but the choice of mode precedes trip chaining for private modes. Furthermore, in this study, we learn from those who own private vehicles but use active or public transport by choice and extract the factors that had indeed motivated their choice. Confirmatory factor analysis is employed to validate the identified factors. The identified factors, coupled with the understanding of decision making hierarchy, offer valuable insights for shaping policies that can maximize the potential of active and public transport modes. [ABSTRACT FROM AUTHOR]

This study examines road user opinions regarding small modular autonomous electric vehicles, focusing on the differences between the elderly and non‐elderly populations in Norway. The data allowed for a comparison between 193 respondents under 65 years old and 208 respondents over 65 years old. The results highlighted significant differences between the two groups about the vehicles, their usability, and the likeliness of using them as public transport if implemented in the future. Traffic safety and personal security were found to be decisive aspects, for respondents over 65 years old being more worried about safety and security than their counterparts. Trust that the authorities will ensure the safe implementation of such vehicles in the current transportation system was also significantly different between the two groups, with the younger generations having more trust in the authorities than the older group. The results shed light on road user opinions about a small modular transport mode, particularly on those over 65 years old, indicating a need for research efforts to better identify how this new form of public transport should be implemented in the future to improve the mobility of all travellers and meet the needs of the seniors. [ABSTRACT FROM AUTHOR]

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Transfer behavior is a critical factor influencing the travel efficiency of public transportation passengers. To address the potential group heterogeneity, the present work developed an integrated Classification and Regression Tree-Multiple-Cox Proportional Hazards (CART-Multi-Cox) model for transfer behavior analysis using smart card data in Shenzhen, China. Specifically, passengers are first grouped into different types based on transfer behavior features, and the influence of various independent variables on the transfer duration of different passenger groups is then examined. The results reveal that the proposed CART-Multi-Cox model is able to account for the heterogeneity effect and provides a deeper understanding about passengers’ transfer behavior and its underlying influencing mechanism. The findings offer valuable references for refined transfer behavior management and help enhancing the competitiveness of public transportation. [ABSTRACT FROM AUTHOR]

AbstractPublic transport inherently involves encounters with other people. For women, negotiating everyday overcrowded, unsafe, and unreliable conditions is a major barrier to accessing public transport mobility that triggers emotions. Using qualitative research methods – in-depth interviews and visual surveys – this study delves beyond understanding the barriers and looks at the affective realm to comprehend how affects and emotions shape accessibility, acceptability, and affordability of public transport for women in Kolkata. The disruptive affects of overcrowded, unsafe, and unreliable conditions produce emotional ordeals, increase travel time and costs, and restrict mobility. The sense of despair that emerges compels women to adjust, accept, and even opt out of overcrowded, unsafe, and unreliable public transport more often than not. This paper argues that affects, emotions, reactions, and consequences are entangled and impact the accessibility, acceptability, and affordability of public transport. The contribution of this paper lies in bringing to the fore the need for feminist inquiries into gendered mobility inequalities and the role of affects and emotions therein. [ABSTRACT FROM AUTHOR]

This article investigates the factors behind the likelihood of experiencing a specific type of mobility situation. The case of commuting by public transport in Greater Mexico City is analysed. A one-way ANOVA with post-hoc procedures and three multinomial logistic regression models are used to assess the extent to which transport-, land use- or socio-economic-related variables influence the likelihood of experiencing a specific mobility situation. The results show that the mobility situations of workers are primarily influenced by the socio-economic characteristics of commuters, followed by land-use patterns and the availability of transport systems, respectively. This means that in addition to transport-related policies, reducing commuting disparities in urban regions will require policies able to reduce socio-economic inequalities and influence the urban structure. [ABSTRACT FROM AUTHOR]

COVID‐19 brought public health challenges to the public transport system throughout the world. As a result, a range of response measures were implemented to ensure the safety of passengers while maintaining a functioning system. This paper explores the responses of public transport agencies in New Zealand's metropolitan cities (Auckland, Christchurch and Wellington) to the COVID‐19 pandemic by examining their physical and communication measures. We analysed public transport agencies' websites to understand the response measures implemented, including the accessibility of COVID‐19‐related information, and the communication of information via websites and social media platforms. The results show that 13 service responses were implemented across the three public transport agencies, with Auckland implementing the most measures. Seven infrastructural responses were implemented, with Christchurch implementing all seven. Wellington was found to be the public transport agency that used social media the most during the pandemic. The website accessibility findings suggest that the more accessible a public transport agency's website was, the less information was present. The research concludes that all three public transport agencies in New Zealand performed reasonably well and were able to maintain a safe and responsive public transport system. [ABSTRACT FROM AUTHOR]

A current topic that has surfaced among Public Transport Companies (PTCs) is the selection of alternative fuels for their bus fleets. Both European and Italian regulations are pushing toward abandoning diesel fuel and the consolidation of alternative traction power sources, such as battery-electric vehicles, fuel-cell electric vehicles, and hydrogen-electric vehicles. The literature has provided some approaches toward assessing this selection such as multicriteria-decision-methods in some countries in the world. However, not enough specific attention has been paid to cost criteria, experts involved, and the type of service required. This paper intends to address these gaps by applying an integrated method, which includes: (i) the Analytical Hierarchy Process (AHP) to define the weights of criteria; (ii) the ELimination Et Choix Traduisant la REalitè I (ELECTRE I) to find a good compromise solution among the fuel alternatives and (iii) a simple Weighted Sum Model (WSM) to refine ranking. This integrated method was applied in Italy involving a panel of experts from whom the data was collected. Different fuel alternatives for both urban and interurban services and with and without funding are discussed. The results provide a useful tool supporting PTC policies, which aims to rationalise and prioritise bus fuel alternatives when deciding on fleet renewal. • Bus fuel selection studies lack cost criteria, experts involved, and service type. • The multicriteria-decision-methods (MCDM) considers the previous issues. • An integrated MCDM method selects fuel alternatives for urban/interurban bus services. • Results prioritise the economically advantageous fuels for with and without funding. [ABSTRACT FROM AUTHOR]

Accessibility is commonly defined and operationalised through objective measurements, such as travel time and physical distance to destinations; however, there is a lack of empirical studies capturing perceived accessibility from individual perspectives. With the aim of sustainable transport for inclusive communities, it is crucial to investigate the impact of socio-economy and travel mode on perceived accessibility and key driving factors of perceived safety and service quality. Through the collection of primary data from one of the fastest-growing suburbs in Melbourne, this study examined variation of perceptions towards accessibility, safety, and service quality among diverse social groups and travellers using different modes of transport. The findings of this study would assist transport planners in making informed decisions in creating inclusive transport networks that can improve community health and well-being. [ABSTRACT FROM AUTHOR]

This study addresses the challenge of quantitatively assessing ride comfort in tram travel in Growing Urban Environments, where multiple influencing factors complicate developing a unified evaluation index system. A comprehensive evaluation framework based on cloud theory is proposed to overcome this challenge. The approach involves defining five‐level comfort evaluation grades to capture passengers' experiences and perceptions accurately. The Criteria Importance through Inter‐Criteria Correlation (CRITIC) method is employed to ensure objectivity to establish objective weights for evaluation indices. Subsequently, a cloud model algorithm is utilized to generate evaluation benchmark and actual result clouds, providing intuitive representations of the evaluation outcomes. The efficacy and rationality of the methodology is illustrated through a case study focusing on Suzhou Tram Line 2. This research contributes valuable insights for enhancing public transportation experiences in new urban settings by offering a systematic and objective approach to assessing tram ride comfort. [ABSTRACT FROM AUTHOR]

This paper analyses the integration of social considerations into public transport planning. It addresses the challenge of balancing social benefits against objectives such as efficiency and cost minimization. Through a literature review, this paper examines methods for assessing public transport accessibility for potentially disadvantaged groups and identifies knowledge gaps in existing research. The analysis reveals a predominant focus on post-implementation (ex-post) accessibility assessments and a lack of research examining potential impacts (ex-ante) during planning stages. Furthermore, the paper identifies a lack of research on how to weigh social benefits against other more conventional objectives such as efficiency and cost minimization and also against environmental considerations. Research usually proposes changes ex-post based solely on a desire to improve accessibility for potentially disadvantaged groups. Therefore, there is a need for more research on how to manage conflicting interests in planning, for example through composite methods. The paper also highlights the tendency of research to overlook the practical usability of methods developed. The relevance of methods to policy makers and planners responsible for planning public transport systems remains largely unexplored. To develop practically useful methods, research needs a better understanding of the norms governing planning practices. It is common to discuss how the mobility needs of potentially disadvantaged passenger groups should be met in isolation from policy contexts. More research is needed about how the potential tensions between social, economic, and environmental considerations play out in public transport planning practices. All of this leads to a risk of a theory–practice gap, marked by a disconnect between research and the practical needs of the public transport providers. By proposing a more nuanced research approach that better reflects the complexity of real-world planning and the different needs of user groups, research can enable public transport planning for what we term 'sustainable accessibility'. [ABSTRACT FROM AUTHOR]