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Symmetry in traffic patterns is a fundamental aspect of intelligent transportation systems, aiming to precisely predict traffic flow in real time despite the complex interplay of spatial and temporal factors. This paper presents a novel method of traffic forecasting that incorporates parameters related to road symmetry into a Graph Convolution Network model. Our model is crafted to dynamically adjust to real-time changes in road conditions, including the presence of symmetric and asymmetric road layouts, which substantially influence traffic flow. We have developed a GCN model that not only accounts for standard traffic flow metrics but also integrates a matrix representing road symmetry. The model undergoes training and validation on the METR-LA dataset, showcasing a significant enhancement in prediction accuracy. In the comparative analysis of state-of-the-art methods, our model demonstrated a significant enhancement in performance, achieving 30.68% improvement in Mean Squared Error (MSE) and a 24.28% improvement in Mean Absolute Error (MAE) over the best-performing method. The implications of our research are profound for urban planners, traffic management systems, and navigation service providers, as it offers a more dependable tool for forecasting traffic conditions, aiding in road design, and refining route planning strategies based on the symmetry of road networks. [ABSTRACT FROM AUTHOR]

Copyright of Tropelías: Revista de Teoría de la Literatura y Literatura Comparada is the property of Prensas Universitarias de Zaragoza and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Placeness is believed to play a significant role in enhancing the well-being and place-use of individuals, contributing profoundly to how spaces are experienced and interacted with. Despite its perceived importance, there is ongoing debate and insufficient clarity about how exactly placeness influences people's behavior. This study aims to bridge this gap by theorizing and investigating the pathways from placeness to people's behavioral intentions, emphasizing the roles of personal place attachment and public place image as pivotal mediators in this relationship. To explore these dynamics, we conducted a survey in Japan, examining the complex interplay between placeness and behavioral intentions, given their rich cultural heritage and modern urban pressures. We employed the Partial Least Squares Structural Equation Modeling (PLS-SEM) approach for path analysis. The analysis suggests that placeness influences behavioral intention through personal place attachment. While placeness does affect public place image, this public image does not have an impact on behavioral intention. The results demonstrated that an individual's activities, experiences, and cognition of a place are significant factors in creating the intention to engage in word-of-mouth, recommendation, and revisiting behaviors. Policymakers, urban planners, and designers need to understand how to foster people's behavioral intentions when creating a place imbued with placeness. [ABSTRACT FROM AUTHOR]

The study's objective was to identify and analyze changes in resilience indicators and their four dimensions. This study aims to investigate the capacities of women in Tehran in the context of urban resilience in the post-COVID-19 era, which has witnessed multiple surges of COVID-19 cases. The Delphi technique was employed in this study to determine appropriate indicators for decisionmaking. The questionnaire focused on women's roles in the city's safety, their control over the situation during or before the crisis, and their knowledge of the environment and risk factors. The efficiency of the questionnaires was 100% due to the researchers' knowledge of the target group's conditions in the first stage of the Delphi technique. The participants for the study were selected based on their familiarity with the safety conditions in District 14 of Tehran Municipality. The results revealed that women in the post-COVID-19 period are expected to exhibit a higher level of physical resilience at 81.21% and social resilience at 70.15%. The results introduce women as potential/active managers in the post-COVID-19 era. The findings may help urban planners to consider such conditions in their planning charts. What distinguishes this study from other studies is its focus on the target group, and position of women for urban planning; it will be possible to increase resilience with the help of women. [ABSTRACT FROM AUTHOR]

Copyright of Cities, Communities & Territories / Cidades, Comunidades e Territórios is the property of Instituto Universitario de Lisboa, DINAMIA-CET and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Research has demonstrated that urban green spaces play a crucial role in mitigating the severe urban heat island (UHI) effect. However, existing studies often suffer from limitations such as the neglect of the cooling effect of water bodies within the green spaces and incomplete considerations of the overall cooling effect. These limitations may lead to inaccuracies in the research findings. Therefore, the present study takes the city of Xi'an as a case study to explore the optimal green space size for achieving efficient cooling. The results indicate that (i) urban green spaces exhibit robust cooling effects, with variations observed among the various types; (ii) for community parks without water, and for street gardens, the optimal areas of these green spaces are 3.44 and 0.83 hectares, respectively; (iii) for community parks with water, the area of internal water bodies should ideally be maintained at around 29.43% of the total green space area in order to achieve an optimal cooling efficiency. In conclusion, this study introduces a new perspective and new optimization methods for urban green space planning, thereby offering scientific guidance to urban planners in formulating effective development and management policies and urban planning schemes. [ABSTRACT FROM AUTHOR]

Density is a crucial indicator for urban sustainable development and is considered a critical factor influencing the carbon emission intensity of construction land (CICL). The impact of density on carbon emissions has been extensively explored, mainly focusing on grid-scale and single-factor effects. However, how density and its interactions affect carbon emissions at the block scale is unclear. Therefore, based on multiple data sources such as energy consumption, remote sensing, and the point of interest (POI) in the urban block of Changxing County, this study constructed a density system that reflects the block's physical environment and socioeconomic characteristics. An optimal-parameters-based geographical detector was employed to investigate the effects and interactions of density factors on the carbon emission intensity of residential blocks (CIRB), carbon emission intensity of commercial blocks (CICB), and carbon emission intensity of public blocks (CIPB). The results indicate the following: (1) The impact of density factors on different types of CICL varied significantly. Physical environmental factors (PEFs) had greater explanatory power than socioeconomic factors (SEFs) across the CIRB, CICB, and CIPB, with the floor area ratio (FAR) being the most influential. The spatial morphology of blocks also influenced the relationship between density factors and the CICL. (2) The interactions between the FAR and building density (BD), the FAR and commercial outlet density (COD), and the FAR and population density (PD) had the strongest explanatory power for the CIRB, CICB, and CIPB, respectively, and all exhibited nonlinear enhancements. Some factors exhibited more significant effects only when interacting with others. (3) An association chain encompassing the interactions of multiple density factors was extracted for the CIRB, CICB, and CIPB, respectively, as the basis for conducting collaborative management and control in spatial planning. The research findings can provide decision support for urban planners to consider the comprehensive effects of density factors and promote the development of low-carbon urban spaces. [ABSTRACT FROM AUTHOR]

The article offers information on the challenges and implications of relying on Google Maps in urban environments, particularly outside Western contexts. Topics include the limitations of Google Maps in accurately reflecting local transit schedules and routes, the impact of Western-centric technological standards on global perceptions of urban efficiency, and the need for urban studies to embrace diverse perspectives to avoid reinforcing North-South academic divides.

It is well known that most of the cadastral maps and property plans in Iraq are preserved in paper form, with the majority dating back to the 1930s. These maps are widely used for various purposes, such as urban planning, sewage networks, and electricity networks. However, most of these maps suffer from some distortion and wear, with some being torn and taped due to the nature of the paper material and its handling, resulting in severe physical distortion. To address these issues, it is necessary to convert these maps into a digital format and perform corrective processing to mitigate the effects of past errors. Scanning alone is insufficient as it introduces many errors. Recently, fast and accurate computer software has become available that can process data from these maps and paper drawings, including addressing the wear they have undergone, and update them to meet the needs of local authorities developing and investing in these maps and implementing development projects. This process is also essential for establishing a digital foundation for the database. Geographic Information System (GIS) applications are widely used to enhance and assist decision-makers in making decisions that align with their purposes and application scenarios. [ABSTRACT FROM AUTHOR]

With the acceleration of urbanization and profound socioeconomic changes, the influx of people from various social strata into cities has led to the phenomenon of residential segregation. Currently, the international community has accumulated profound theoretical foundations and rich practical experiences in the study of residential segregation. This research, primarily based on the WOS literature database, sorts and summarizes relevant studies on residential segregation in recent years (focusing on publications from 2020 to 2024), emphasizing the following four key aspects: (1) tracing the evolution of the theory of residential segregation and analytical methods; (2) analyzing the main characteristics of urban residential segregation; (3) exploring the driving mechanisms and effects of urban residential segregation; and (4) summarizing research trends and providing future perspectives. This study aids urban planners in more accurately identifying areas and characteristics of residential segregation, optimizing urban layouts, and providing richer and more in-depth theoretical support and practical guidance for the field of urban planning science. [ABSTRACT FROM AUTHOR]

The dynamics of pedestrian behavior within the built environment represent a multifaceted and evolving field of study, profoundly influenced by shifts in industrial and commercial paradigms. This systematic literature review (SLR) is motivated by the imperative to comprehensively investigate and assess the built environment through the lens of pedestrian modeling, employing advanced modeling tools. While previous scholarship has explored the interplay between the built environment and pedestrian dynamics (PD), there remains a conspicuous gap in research addressing the utilization of agent-based modeling (ABM) tools for a nuanced evaluation of PD within these contexts. The SLR highlights the essential and practical benefits of using ABM to study PD in built environments and combine related theories and practical projects. Beyond theoretical discussions, it emphasizes the real-world contributions of ABM in understanding and visualizing how people behave in urban spaces. It aims to provide deep insights for both researchers and urban planners. By thoroughly examining recent research, it not only explores the practical uses of ABM but also reveals its broad implications for various aspects of pedestrian behavior in built environments. As a result, this SLR becomes a key resource for understanding the crucial role of ABM in studying the complexities of our surroundings. The findings and discussion here highlight ABM's vital role in bridging the gap between theory and practice, improving our understanding of pedestrian behavior in urban settings. Furthermore, this study outlines promising avenues for future research, thereby fostering continued exploration and innovation in the dynamic realm of pedestrian behavior within built environments. [ABSTRACT FROM AUTHOR]

In 1961, Jane Jacobs's The Death and Life of American Cities placed the urban street at the center of "an immense laboratory of trial and error, failure and success, in city building and design" (Jacobs 6). This laboratory, however, was under attack from urban planners like Lewis Mumford and Le Corbusier, who would attempt to replace Jacobs's public street with the cookie-cutter monotony of the master-planned community. Five years later, Elizabeth Bishop's poem "Under the Window: Ouro Prêto" portrayed Brazil's disorderly streets as captivating scenes of public life, one viewed from a tourist's privileged position looking down on it through the poem's titular window. Robert Pinsky would render a street from his New Jersey childhood in much less sentimental terms in his poem "The Street" twenty years later, wherein an unnamed man in "pyjamas" on "The Street" finds public humiliation, outed as a cuckold on the Rockwell Avenue of Pinsky's childhood. With their descriptions of exotic streetscapes, both Bishop and Pinsky's poems reinforce the point that public streets can serve as nodes for healthy communities as Jane Jacobs argued, but they also argue that streets thus conceived are under threat from car-centered development and Foucault's skepticism of surveillance. [ABSTRACT FROM AUTHOR]

How much green space is available for individuals is a major question that city planners are generally interested in, and the present study aimed to address this issue in the context of Vellore, India, through two approaches, namely, the per capita and the geographical area approach. In existing studies, urban green space (UGS) was only calculated at the macro level, i.e., for the city as a whole. Micro-or ward-level analysis was not attempted before, and the present study carried out the same to get a clear picture of the amount of greenery available in each ward of a city. For this purpose, a two-step approach was proposed where the histograms of Google Earth (GE) images were analyzed first to check whether the green cover types such as trees, shrubs/grassland, and cropland were spectrally different. Then, classification techniques such as ISODATA, maximum likelihood, support vector machine (SVM), and objectbased methods were applied to the GE images. It was found that SVM performed well in extracting different green cover types with the highest overall accuracy of 93% and Kappa coefficient of 0.881. It was found that when considering the city as a whole, the amount of UGS available is 42% of the total area, which is more than the recommended range of 20-40%. Similarly, the available UGS per person is 97.84 m2, which is far above the recommended 12 m2/person. However, the micro-level analysis revealed that some of the wards have not satisfied the criteria of per capita and percentage area, though the city as a whole has satisfied both the criteria. Thus, the results indicate the importance of calculating the urban green space availability at the ward level rather than the city level as the former gives a closer look at the surplus and deficit areas. The results of terrestrial LiDAR survey at individual tree level revealed that if trees are located adjacent to buildings or roads, it results in fewer heat islands compared to the case where there are no trees. [ABSTRACT FROM AUTHOR]

Understanding human movement patterns is crucial for comprehending how a city functions. It is also important for city planners and policymakers to create more efficient plans and policies for urban areas. Traditionally, human movement patterns were analyzed using origin–destination surveys, travel diaries, and other methods. Now, these patterns can be identified from various geospatial big data sources, such as mobile phone data, floating car data, and location-based social media (LBSM) data. These extensive datasets primarily identify individual or collective human movement patterns. However, the impact of spatial scale on the analysis of human movement patterns from these large geospatial data sources has not been sufficiently studied. Changes in spatial scale can significantly affect the results when calculating human movement patterns from these data. In this study, we utilized Weibo datasets for three different cities in China including Beijing, Guangzhou, and Shanghai. We aimed to identify the effect of different spatial scales on individual human movement patterns as calculated from LBSM data. For our analysis, we employed two indicators as follows: an external activity space indicator, the radius of gyration (ROG), and an internal activity space indicator, entropy. These indicators were chosen based on previous studies demonstrating their efficiency in analyzing sparse datasets like LBSM data. Additionally, we used two different ranges of spatial scales—10–100 m and 100–3000 m—to illustrate changes in individual activity space at both fine and coarse spatial scales. Our results indicate that although the ROG values show an overall increasing trend and the entropy values show an overall decreasing trend with the increase in spatial scale size, different local factors influence the ROG and entropy values at both finer and coarser scales. These findings will help to comprehend the dynamics of human movement across different scales. Such insights are invaluable for enhancing overall urban mobility and optimizing transportation systems. [ABSTRACT FROM AUTHOR]

From December 10 to December 11, 2021, a deadly tornado outbreak struck across several states in the US, including Arkansas, Illinois, Kentucky, and Tennessee. This tornado outbreak resulted in at least $3.9 billion in damage, more than 90 fatalities, and hundreds of injuries. Mayfield, Kentucky, a small city in the eastern United States, was hit by a long-track tornado rated as an Enhanced Fujita 4 (EF4) scale and was one of the communities most heavily damaged during the tornado outbreak. Following the 2021 tornado event, an analysis was performed in the Interdependent Networked Community Resilience Modeling Environment (IN-CORE) for the City of Mayfield to investigate a design code change for residential structures and its effect on communitywide metrics related to functionality and dislocation. Specifically, the IN-CORE modeling environment was used to hindcast the community-level building damage and forecast the community-level building recovery in Mayfield for residential buildings. This required the development of a Mayfield test bed for IN-CORE with a focus on buildings. The generalization of multidisciplinary community resilience modeling from a test bed community to a real community impacted by a recent major tornado event is intended to benchmark that IN-CORE has a strong potential and capability to forecast/hindcast community resilience and provide what-if scenarios for decision makers, city planners, and stakeholders in communities with similar sizes. [ABSTRACT FROM AUTHOR]

Advanced manufacturing agglomeration (AMA) plays a significant role in supporting regional development, but few studies have examined it on a regional geographic space. In this paper, the relationship between AMA and regional economic‒innovative‒social coupling coordination development (EISCCD) was studied spatially at a fine-grained scale (500 m × 500 m), taking Liangjiang New Area (LJNA), China, as an example. The results showed that (1) the spatial patterns of AMA and EISCCD in LJNA were similar; (2) among the four different combinations, the economic‒social combination had the highest degree of coupling coordination and a more balanced spatial distribution; (3) AMA and the four coupling coordination combinations all showed significant positive relationships, with innovation playing a prominent mediating role; and (4) there was evident spatial heterogeneity in the relationship between AMA and ECICCD. These results demonstrate the possibility of building suburban subcenters with advanced manufacturing. These findings are beneficial for urban and regional planners to monitor the development status at different locations within cities, enabling precise construction and management of various facilities, enhancing land utilization efficiency, and aiding in the realization of a business-friendly and livable urban environment. [ABSTRACT FROM AUTHOR]

This paper makes the case for urban planners to become active participants in discussions concerning the placement of nextgeneration nuclear power plants. Centered upon an evolving concept of creating small modular reactors (SMRs), these plants are now being created and tested at various sites. They are intended to be low carbon sources of energy. While extensive technical research on SMRs is ongoing, the planning community has been quiet about the local impacts that could occur from their placement. This paper offers a review of the attitudes toward nuclear power, the characteristics of SMRs and why planners should be involved. [ABSTRACT FROM AUTHOR]

This study examines the port planning dynamics of the neighbouring ports of Koper (Slovenia) and Trieste (Italy) since the Second World War. Through an analysis of port-related planning documents, it offers insights into how geographical proximity, divergent geopolitical circumstances, and a unique border context have shaped the development trajectories of these two ports. We argue that their spatial planning is somewhat idiosyncratic because the presence of a border did not necessarily condition unrelated planning efforts and vice versa. Max Fabiani was the only urban planner to propose a joint development plan for both port cities in the immediate post-war period. The port and local authorities pursued separate planning paths for the two port cities after the Yugoslav–Italian border was established in 1954. As the border became more permeable, a certain relatedness can be seen in the spatial planning of both ports. The port authorities worked toward a unified port system at the turn of the millennium, but the persistence of phantom borders prevented this. In recent decades of European borderless integration, there are fewer obstacles to planning cooperation. Currently, both ports are planning similar development, such as the expansion of container terminals, which is leading to their increased competition. [ABSTRACT FROM AUTHOR]

Solar radiation plays a dominant role in numerous engineering systems. Shading, resulting from various objects, modulates the amount and distribution of irradiance received by surfaces. This research aimed to develop a model for assessing the spatial and temporal distribution of insolation on urban surfaces affected by building shadows. A Scilab code was implemented to compute building shadows using a direct mathematical algorithm. The results indicate that the front façade of the building is exposed to the sun for approximately 35–40% of the year's hours, collecting more than 0.5 MW-hr/m 2 annually. It was observed that building shadows effectively mitigate solar radiation, especially when the building width is between 0.25 and 3 times the spacing between buildings. The ground exhibited the lowest shading factor value and the highest sensitivity to latitude. These findings are intended to serve as a reference for urban planners. [ABSTRACT FROM AUTHOR]

The objective of this study is to identify the typomorphological dynamics of rural settlements and to prioritize them hierarchically using the Analytical Hierarchy Process (AHP) method. Furthermore, the study aims to investigate changes in the top three dynamics over time in a sample village through the application of fractal and space syntax analysis. The dynamic and sub-dynamic elements of typomorphology were gathered from previous studies carried out at the urban and rural scales, and their equivalents in the rural settlement context were determined. The study participants, including 26 academics and independent architects and urban planners, were asked to participate in an online survey to rank the 12 typomorphological dynamics identified. The results were analyzed to determine the weighted outcomes of the dynamics and to form a hierarchical order of importance. The consistency ratio was also calculated. A fractal and space syntax analysis were conducted for the first three dynamics in a sample village to analyze the adaptation and mutation processes of the settlement region. The AHP results showed that cultivated and natural areas, socio-spatial references, and road/path networks are the key dynamics in the typomorphological analysis of rural settlements. The results emphasize the importance of enacting rural protection laws to regulate settlement and agricultural activities, given the significant impact of economic and demographic changes on rural settlement morphology. The study also highlights the need for sustainable land use practices that balance human settlement and agricultural activities with the preservation of natural ecosystems. Furthermore, the study underscores the role of road/path networks in shaping occupancy and emptiness. The results offer valuable insights into monitoring rural dynamics and managing rural settlements. The identified dynamics and their weighted values can guide decision-makers in rural planning and development. [ABSTRACT FROM AUTHOR]

The role of spatial factors in reducing carbon emissions has been receiving increasing attention from researchers; however, these impacts may involve spatial heterogeneity. In this study, 337 prefecture-level cities in China were taken as the research object. Based on national-level urban data, the global impact of urban spatial form on carbon emissions was then investigated using ordinary least squares regression, the spatial error model, and the spatial lag model. The local effects of urban spatial form on carbon emissions in different cities were then investigated using geographically weighted regression. The findings are as follows. Overall, the larger the urban built-up area and the more fragmented and decentralized the urban land use, the greater the carbon emissions. Conversely, the more centralized the urban center of a city, the lower its carbon emissions. Locally, for some Chinese cities, the total area, landscape shape index, and mean Euclidean nearest-neighbor distance were found to have significant positive effects on carbon emissions, while the largest-patch index had a significant negative impact. For all Chinese cities, the patch density was found to have no significant effect on carbon emissions. In 29% of the cities in which the landscape division index was found to significantly affect carbon emissions, this effect was positive, while it was negative in the remaining 71%. The policy implications emerging from this study lie in the need for decision-makers and urban planners to guide the shaping of low-carbon urban spatial forms. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Planning Education & Research is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Mechanical parking lots and spaces are known as the "energy saver" of urban space because of their small footprint, high efficiency, and environmental protection. However, the location and number of mechanical parking lots and space planning have become an important part of effectively exerting the function of mechanical parking lots. In order to explore the planning problem of mechanical parking lots, this study used the gradient boosting decision tree–Shapley additive explanations (GBDT-SHAPs) to measure the non-linear impact of the urban built environment on the mechanical parking spaces ratio and extract the optimal threshold of key variables. The results show that land use mix and distance to Bell Tower (CBD) are two key variables affecting mechanical parking space planning, and both have a non-linear relationship with the built environment. The threshold values are 0.83 and 7 km. The results will provide urban and transport planners with strategies for planning mechanical parking lots and spaces. [ABSTRACT FROM AUTHOR]

Rapid urbanization in developing countries poses challenges such as rising crime rates and resource scarcity. Unmanned Aircraft Systems (UAS) offer a promising solution to enhance public safety, but their integration requires addressing specific challenges. This study employs the Systems-Theoretic Accident Model and Processes (STAMP) and System-Theoretic Process Analysis (STPA) methodologies to identify potential hazards and requirements for integrating UAS into public safety systems in urban environments. The research objectives include identifying hazards and challenges, developing safety requirements and guidelines, and proposing strategies for efficient infrastructure investment. The proposed framework, based on STAMP/STPA, includes additional steps to consider early-stage systems and maintain stakeholder traceability. A risk matrix approach is utilized to prioritize risk mitigation measures for cost-effectiveness. The findings of this study provide valuable insights for policymakers and urban planners in developing countries seeking to harness the potential of UAS technology for enhancing public safety while addressing the unique challenges posed by rapid urbanization. [ABSTRACT FROM AUTHOR]

Two-plus-one (2+1) highways are a special configuration of two-lane two-way (TLTW) highways with a continuous center lane that is used to alternate passing lanes. The main objective of this paper is, therefore, to evaluate the suitability of the 2+1 design for Middle East conditions as a replacement for traditional TLTW roads with higher traffic volumes or as an interim solution before transforming TLTW roads into four-lane highways. In our analysis, we considered both safety and mobility performances by comparing the 2+1 and TLTW designs. The new suggested 2+1 designs were evaluated, with the first design prohibiting overtaking in the opposite direction, while the second design permitted it. Additionally, two-speed-limit strategies, uniform speed limit (USL), and differential speed limit (DSL) were also evaluated. The results showed that the 2+1 design, which prohibited overtaking in the opposite direction, was superior to TLTW in terms of mobility and safety, while the other design compromised safety compared to TLTW. The results provide valuable information to policymakers, urban planners, and transport authorities to guide evidence-based decisions on the integration of the 2+1 design as a viable solution for sustainable and efficient transportation. [ABSTRACT FROM AUTHOR]

Copyright of Eutopía: Revista de Desarrollo Económico Territorial is the property of Eutopia: Revista de Desarrollo Economico Territorial and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Rebuilding cities that have been significantly damaged or destroyed by multiple earthquakes is a challenging endeavor that has received considerable attention in recent days. It is necessary to conduct a thorough literature review to identify the key aspects that require closer examination to resolve this issue comprehensively. Significantly, the devastating earthquake that struck Kahramanmaraş caused extensive damage in twelve provinces, necessitating an immediate redesign of interior and outdoor spaces. This article emphasizes the importance of long-term planning involving multiple disciplines for implementing the proposed measures and actions. By leveraging the lessons learned from reconstruction efforts in earthquake-ravaged areas, it is possible to establish a comprehensive framework that provides policymakers, urban planners, and architects worldwide with invaluable guidance. By leveraging this collective knowledge, decision makers can develop holistic approaches that resolve immediate structural concerns and improve reconstructed cities' livability, adaptability, and disaster resilience. With Kahramanmaraş as a case study, this research provides a comprehensive road map for rebuilding earthquake-devastated urban spaces. This study provides invaluable insights into creating resilient cities that can withstand and recover from disasters by emphasizing long-term planning, interdisciplinary collaboration, and lessons from previous reconstruction efforts. The findings of this study have far-reaching implications for cities around the globe, as they shed light on effective strategies to mitigate the destructive impact of future disasters and promote sustainable urban development in an era of growing vulnerabilities. [ABSTRACT FROM AUTHOR]

This research paper investigates the impact of Urban Living Labs (ULLs) on social resilience within urban communities, with a specific focus on the Multicultural City ChatterBox project in Portsmouth, the UK. Drawing on a rich body of literature and empirical data collected through ethnographic research methods, including interviews, focus groups, and participant observations, this study explores how participatory placemaking and co-creation activities foster community resilience. The ChatterBox project, a collaborative effort between the local community and researchers, led to the construction of a temporary timber pavilion in an underutilized urban space, serving as a vibrant hub for social interaction and engagement among diverse community groups. Our findings reveal that ULLs significantly contribute to enhancing social resilience by empowering communities, fostering a sense of belonging, and facilitating the development of social networks. Through the process of co-design and co-creation, participants not only gained a deeper understanding and ownership of their urban environment but also developed valuable skills and knowledge, thus strengthening their capacity to adapt to societal challenges. Furthermore, this study highlights the role of ULLs in bridging gaps between different community groups, thereby promoting inclusivity and social cohesion. The Multicultural City ChatterBox project exemplifies how ULL interventions can serve as catalysts for social innovation, offering flexible and adaptive solutions to urban challenges while simultaneously enriching the social fabric of cities. This paper contributes to the growing discourse on urban resilience, placemaking, and community-led urban development, providing valuable insights for policymakers, urban planners, and community organizers seeking to foster resilient and vibrant urban communities. [ABSTRACT FROM AUTHOR]

Air ambulances are a crucial enabler of emergency health care because of their high speed, ability to reach impassable areas, relocate more patients, provide better treatment while carrying patients, and ease of access to the hospital without traffic or sudden accidents. The right location must be selected according to scientific principles that address relevant factors to increase air ambulance efficiency in an emergency. A descriptive-analytical approach was adopted to solve the problem of identifying the best locations for aerial ambulances, combining three distinct methods. The first step was to identify criteria affecting the location of air ambulances. Then, the location was determined using a fuzzy analytical network process model coupled with a fuzzy decision-making trial and evaluation laboratory (DEMATEL) technique and a geographic information system. To examine the method, a case study was conducted in a province in southeast Iran. Case study results showed insufficient aerial ambulance stations and roads to meet the need. This study provides helpful information for city planners and health policymakers to determine the optimal location of air ambulances by analyzing geographical conditions and barriers to delivering high-quality care to remote area. The study can contribute to more sustainable cities through better health services for communities. [ABSTRACT FROM AUTHOR]

This document is a correction notice for an article titled "Teaching Generation Y: Which Instructional Tools Do Students Prefer in a Traditional Classroom Setting?" The original article contained errors in Table 3 and Figures 4 and 5. The errors included incorrect column heads in Table 3, a legend error in Figure 4, and an incorrect order of bars in Figure 5. The corrected versions of Table 3 and Figures 4 and 5 are provided in the document. [Extracted from the article]

Urban vitality, a multifaceted construct, is influenced by economic conditions and urban structural characteristics, and can significantly be impacted by public health emergencies. While extensive research has been conducted on urban vitality, prevailing studies often rely on singular data sources, limiting the scope for holistic assessment. Moreover, there is a conspicuous absence of longitudinal analyses on urban vitality's evolution and a dearth of quantitative causal evaluations of the effects of public health emergencies. Addressing these gaps, this study devises a comprehensive framework for evaluating urban vitality, assessing Wuhan's vitality from 2018 to 2020 across economic, social, spatial, and ecological dimensions. Utilizing a Difference-In-Difference (DID) model, the impact of public health emergencies is quantified. The findings indicate pronounced spatial variations in Wuhan's urban vitality, with a gradational decline from the city center; public health emergencies exhibit differential impacts across vitality dimensions, detrimentally affecting economic, social, and spatial aspects, while bolstering ecological vitality. Moreover, high population and high public budget revenue are identified as factors enhancing urban vitality and bolstering the city's resilience against sudden adversities. This study offers valuable insights for geographers and urban planners, contributing to the refinement of urban development strategies. [ABSTRACT FROM AUTHOR]

Practitioners and decision-makers often face difficulties in selecting and prioritizing effective strategies to address challenges to sustainable urban transportation development. Although there has been considerable research conducted on the subject, the Tanzanian context, which is greatly affected by social and environmental problems, has received inadequate attention. Therefore, this study intends to bridge this gap by pinpointing the obstacles to sustainable urban transportation and proposing the most appropriate strategies to tackle them. The study proposes seven strategies and determines five criteria to prioritize them. To accomplish this, the study proposes a novel Fermatean fuzzy-based intelligent decision support model to assess the criteria weights and prioritizes strategies based on the weighted criteria. The study validates the proposed methodology by conducting a sensitivity analysis, which indicates that restricting car use (A5), improving sector coordination (A1), and conducting extensive research on transportation issues (A7) are the top three strategies for promoting sustainable urban transportation. The study's findings hold significant value in providing urban transportation planners with helpful guidance to develop optimization techniques that can improve transportation systems. [ABSTRACT FROM AUTHOR]

Several researchers have modified the original Social Force Model (SFM) for pedestrians by including vehicles and simulating interaction behaviors in shared space layouts. The present study is conducted at a signalized intersection where the performance and functionality are defined by spontaneous order. The SFM was modified, and two-wheelers were added along with cars and pedestrians to analyze their interactions. The Hybrid Calibration Method was adopted to calibrate the interaction parameters utilizing an optimization technique and real-time data from the study site. It can be concluded from the parameter values that the strength of interaction reduced as the range between the road agents increased. The findings can aid urban planners in visualizing the interaction behavior of pedestrians, cars, and two-wheelers. Moreover, the feasibility of introducing the shared space concept in India as an alternative to the conventional traffic planning system can also be determined during the designing phase. [ABSTRACT FROM AUTHOR]

Poor and marginalised communities worldwide bear a disproportionate burden of the impacts caused by flash floods, resulting in significant socioeconomic and financial damages. To enhance community resilience to floods, it is crucial to comprehend flood risk perception (FRP) and preparedness levels for future disasters. This study aims to investigate these two essential factors in the Saadi community, which is one of the most flood-prone and marginalised communities in Shiraz, Iran. A field survey was conducted using a questionnaire (n = 400), supplemented by in-depth interviews with six informants and observational methods, to gain a comprehensive understanding of FRP among residents of the Saadi neighbourhood and assess their preparedness for future flooding events. The survey questionnaire consisted of three main domains: FRP and climate change perception, infrastructural capacity building in post-flood scenarios, and the extent of disaster preparedness. These questions were derived from a review of relevant literature and tailored to the unique conditions of the area, resulting in 18 variables. The results indicate that a high level of FRP (87.5%) was reported among affected residents who experienced previous floods and suffered consequences. Moreover, survey participants believed that more than three-fifths of the infrastructure remained unchanged. This study underscores the presence of high levels of FRP and medium-to-low levels of preparedness for flash floods in one of the most vulnerable communities in Shiraz city. The research findings can provide valuable insights for urban planners, city officials, and policymakers in developing more effective and realistic community resilience plans for communities prone to flash flooding. [ABSTRACT FROM AUTHOR]

Soil is now a central issue on the European as well as the national political agenda, as it represents a fundamental ecosystem for human survival on the planet. Today, more than ever, its protection and proper use in various contexts (agricultural, natural, urban) require stringent policies that can be implemented immediately. The difficult reversibility of urban transformations is the main threat to the ecosystem integrity of soil. Starting from this statement, the main objective of the proposed work is to analyze how the main European countries (Italy, France, Germany, and Spain) are addressing the issue of the goal of zero net land take by 2050 by examining the current laws and strategies. The results highlight how the regulatory aspect plays a key role in managing the phenomenon and how the absence of a national framework law can generate strong distortions and different interpretations of the soil ecosystem. The analysis of the Nature Restoration Law, adopted by the European Commission in July 2023, enables us to assess whether the regulations and measures adopted by the major European countries align with the European Union's trends. Through a comparative perspective, the study aims to contribute to a comprehensive understanding of sustainable development practices and provide valuable insights for policymakers, urban planners, and academics. [ABSTRACT FROM AUTHOR]

The benefits of urban trees are very well known, but they can fall and cause damage, putting people's lives at risk. There are few studies on the vulnerability of species to falling. In Lisbon (Portugal), fallen trees have been recorded since 1990 without, however, the identification of the species, knowledge of which is fundamental for improving their management. This study aimed to identify the tree species most vulnerable to falling in Lisbon through a proximity-based approach of known species, since the city has 47,713 inventoried trees, of which only 26,595 (55.7%) were identified. Four criteria were designed to presume the species: (i) the tree must be within 15 m from the street median axis; (ii) at least three individuals within 30 m from the occurrence must belong to the same species; (iii) the surrounding species must be representative in the street (>50%); and (iv) visual identification of avenue medians. Through this approach, considering 3767 fallen trees, it was possible to identify 736 cases, representing 19.5% of all occurrences throughout the studied time and representing 43 different species. Species like Morus nigra L., Tipuana tipu (Benth.) Kuntze, Liriodendron tulipifera L., Prunus cerasifera Ehrh., and Koelreuteria paniculata Laxm. were most vulnerable. Additionally, in 57.7% of cases (425 fallen trees), the wind speed 12-h before the occurrence was greater than 7 m s−1. This research will provide important data for urban planners seeking to maximize the ecosystem services of urban trees. [ABSTRACT FROM AUTHOR]

Military service members (MSVMs) suffer from mental and physical health ailments upon returning home from enlistment. Due to the enormity of these different and complex ailments, many unique therapeutic methods, like therapeutic gardens, have been utilized on MSVM populations to improve their overall wellbeing. Therapeutic gardens are built following a set of guidelines meant to serve general populations instead of target populations. There has been little research on the preferences of landscape design elements in therapeutic gardens by MSVMs. To determine if landscape design elements can be optimized for therapeutic gardens that serve MSVMs, a series of questions with pictures pertaining to preferences were created in an online survey that was released to civilians on social media and MSVMs through U.S. military organizations (N = 366, 90.6% completed). The average respondents were male, Caucasian, and 25–35 years old. The majority of MSVM respondents were or had enlisted in the Army branch, and were currently active duty, or honorably discharged. MSVMs and civilians had overall similar preferences of utilities and garden elements. While commonalities were found among the two respondent groups, with a preference for clear walkways, lighting wild and natural views, there were differences. In contrast to civilians, MSVMs also overwhelmingly preferred fences and gates, and the creation of privacy and prospect views instead of refuge views. Results indicate that an increased line-of-sight in fenced-in areas may make MSVMs more comfortable in therapeutic garden settings. These differences may assist urban planners and landscapers in the building of green spaces tailored to target populations like MSVMs and to illustrate the importance of building inclusive spaces for populations of concern. [ABSTRACT FROM AUTHOR]

Urban regeneration is a sound, sustainable urban development strategy globally. In China, promoting urban regeneration has become the national sustainable urban strategy. Under the resource constraint, it is necessary to understand what benefits different types of urban regeneration projects can contribute to urban development. Much research has contributed to evaluating the benefits of urban regeneration on the project scale. The systematic investigation of their effects on surrounding economic vitality, especially the comparison between different types of projects, is relatively downplayed. This paper aims to evaluate and compare the effects of urban regeneration projects on surrounding economic vitality by calculating the change in housing prices. Chongqing is selected as the case city. Based on the housing transaction data from 2015 to 2021, a staggered difference-in-difference method is employed to capture the results. The finding shows that the overall effects are significantly negative, especially within a 400–800 m radius. Higher investment or better project location relates to stronger negative effects. Moreover, the differences in effects among the three types of urban regeneration projects are clearly revealed from diverse perspectives. It provides a valuable reference for policymakers and urban planners to make urban regeneration planning better by considering comprehensive benefits. [ABSTRACT FROM AUTHOR]

Urban environments face escalating challenges due to uncontrolled urbanization, rapid population growth, and climate changes, prompting the exploration of sustainable solutions for enhancing urban green spaces (UGSs). For this reason, poplars (Populus L.), due to their rapid growth, wide range adaptability to environmental conditions and versatility of use, have emerged as very promising. This comprehensive review synthesizes current knowledge regarding poplar's application in urban landscapes, emphasizing its multifaceted contributions and benefits. However, challenges arise from the variable lifespans of different poplar cultivars, necessitating strategic management approaches. Selecting cultivars based on growth rates, root system characteristics, and adaptability to urban conditions is pivotal. Adaptive replanting strategies, incorporating species with varying lifespans, offer solutions to maintain continual greenery in urban landscapes. Collaborative efforts between researchers, urban planners, and policymakers are essential for devising comprehensive strategies that maximize benefits while addressing challenges associated with their variable lifespans. In conclusion, harnessing poplar's potential in urban greenery initiatives requires a balanced approach that capitalizes on their benefits while mitigating challenges. Further research and adaptive strategies are crucial for sustained and effective utilization to create resilient and vibrant urban landscapes. [ABSTRACT FROM AUTHOR]

Complexity has been known as a crucial psychological factor influencing the evaluation of the building facades preferences. However, little is known about the role of physical attributes of preferred building facades on perceived visual complexity. The objective of this study is to assess perceived visual complexity of urban building facades in terms of physical attribute in different levels. Discrete choice experiments were used to study the perceived visual complexity of preferred building facades. A sample of 213 students from Golestan University evaluated preference and perceived visual complexity of 36 pairs of images based on ten physical attributes of building facades in different levels (material (brick, stone), the contrast of materials (absent, present), color (absent, present), ornament (high, low), curve (straight, curved), vegetation (plants, no plants), windows orientations (vertical, horizontal), fenestration (large, small), articulation (side recesses, flat) and architectural style (modern, classic, traditional). The results revealed that all physical attributes of preferred building facades were found significant on perceived visual complexity expect for three attributes: architectural style, color and window to wall size. Thus, participant preferred a high-ornament facade with curved lines, vegetation, classical style, articulation, contrast between materials, as well as vertical windows. The articulation and ornament attributes were the most significant on perceived visual complexity. The results of this study can help city planners, architects, and designers to design facades with more general preferences and reduce the visual pollution of the cities. [ABSTRACT FROM AUTHOR]

Landslides can cause significant infrastructure damage and thousands of deaths around the world. Colorado Springs has experienced numerous damaging landslides that have not been previously geophysically investigated due to its geological and climatic conditions as well as increased urban development into landslideprone areas. In 2015, heavy rainfall caused the Skyway and Broadmoor Bluffs landslides that destroyed 30 homes. In this study, these two landslides were studied using the electrical resistivity method to evaluate the nature of the landslides. Two-dimensional inverse models constrained by geological and borehole data indicate that both landslides occurred within the weathered portion of the Cretaceous Pierre Shale. The depth to the landslide failure surface ranged between 3 to 6 m and 6 to 8 m for the Skyway and the Broadmoor landslides, respectively. Both landslides have characteristics of a rotational-type landslide, but three models (two for Skyway, one for Broadmoor) do not have smooth failure surfaces. The Pierre Shale is characterized by significantly lower resistivity than the overlying clay. This suggests the landslide failure was promoted by high moisture content within the Pierre Shale. Therefore, the Skyway and Broadmoor areas need to be monitored for future landslides during highprecipitation events. Additional geophysical data are needed to fully determine the nature and extent of the landslides in Colorado Springs. Our results present the first subsurface models of the Skyway and Broadmoor landslides. City planners can use these models as critical data for mitigating future landslides, which can be used for future urban development. [ABSTRACT FROM AUTHOR]

Introduction: This study delves into the spatial preferences of children for play spaces within high-density urban block environments, specifically targeting the area of Baihua Second Road in Shenzhen, China. Methods: Recognizing the critical role of play in children's development, and the unique challenges posed by dense urban settings, this research employs multiclass logistic regression models and negative binomial regression models to construct a detailed mathematical analysis of neighborhood spatial elements and children's play space preferences. Data was meticulously gathered through both objective observations of 14 different types of spaces within the block, and subjective assessments via children's responses to a series of environment photos, capturing the essence of over 3,000 child participants' interactions and choices. Results: Key findings reveal a pronounced preference among children for soft facility features and visually appealing spatial experiences, suggesting a nuanced understanding of play space needs beyond traditional playground designs. Notably, the study identifies that while cartoon-style designs in play facilities might increase moderate attractiveness, ordinary designs hold broader appeal, indicating a preference for diversity in play space aesthetics. These insights offer profound implications for urban planners and designers, advocating for a childcentered approach in the creation of urban play environments that prioritize aesthetic diversity, and the integration of natural elements. Conclusion: Moreover, the study situates Baihua Second Road as a paradigmatic case, illustrating the methodology and analytical framework applied in addressing the complex interplay between children's play preferences and urban spatial configurations. By incorporating a comprehensive data-driven analysis, this research contributes significantly to the discourse on child-friendly urban design, offering valuable strategies for cultivating inclusive and engaging urban play spaces for children amidst the constraints of high-density city living. [ABSTRACT FROM AUTHOR]

Predicting urban-scale carbon emissions (CEs) is crucial in drawing implications for various urgent environmental issues, including global warming. However, prior studies have overlooked the impact of the micro-level street environment, which might lead to biased prediction. To fill this gap, we developed an effective machine learning (ML) framework to predict neighborhood-level residential CEs based on a single data source, street view images (SVIs), which are publicly available worldwide. Specifically, more than 30 streetscape elements were classified from SVIs using semantic segmentation to describe the micro-level street environment, whose visual features can indicate major socioeconomic activities that significantly affect residential CEs. A ten-fold cross-validation was deployed to train ML models to predict the residential CEs at the 1 km grid level. We found, first, that random forest (R2 = 0.8) outperforms many traditional models, confirming that visual features are non-negligible in explaining CEs. Second, more building, wall, and fence views indicate higher CEs. Third, the presence of trees and grass is inversely related to CEs. Our findings justify the feasibility of using SVIs as a single data source to effectively predict neighborhood-level residential CEs. The framework is applicable to large regions across diverse urban forms, informing urban planners of sustainable urban form strategies to achieve carbon-neutral goals, especially for the development of new towns. [ABSTRACT FROM AUTHOR]

Exploring avian species diversity and distribution patterns is vigorous for conservation efforts in biodiversity-rich countries such as Ethiopia. Compared to other species, birds are relatively well-known and easily observed, making them great markers of productivity or biodiversity. Although bird species are found all across the world, their survival and range have been negatively impacted by habitat loss, fragmentation, and destruction. Thus, the goal of this study is to provide baseline data on avifaunal diversity in the Northeast of Addis Ababa, including species richness, distribution, and relative abundance in various habitats conducted from January 2023 to September 2023 using a stratified sampling design into three habitat types: settlement, farmland, and abattoir. A fixed-width line transect sampling method was used at the farmland and settlement, and a point transect was employed at the abattoir site to collect the bird data. The data were compared using Mann–Whitney and Kruskal–Wallis statistical tests in both seasons and habitat types. A total of 42 bird species belonging to twenty-three families, and nine orders were recorded during the study period. Of these, blue-winged goose and wattled ibis are endemic to Ethiopia. Hooded vultures and White-backed vultures are critically endangered species. The mean abundance of bird species significantly varied in the three habitat types ( χ 2 = 13.6, df = 2, p = 0.001). The abundance of bird species was nonsignificant difference between wet and dry seasons (U = −0.874, p = 0.381). The highest diversity (H′ = 2.74) was recorded at settlement, and the lowest diversity index (H′ = 1.09) was recorded at the abattoir in the dry season. In the wet season, the highest diversity (H′ = 2.66) was recorded in the farmland, and the lowest (H′ = 1.08) was recorded at the abattoir. The highest evenness (J = 0.94 and J = 0.93) was recorded on the farmland in the wet and dry seasons, respectively. In the study area, urbanization is extremely impacting the environment and altering ecosystem services upon which human civilization depends. Most of the avian species observed in the study area are capable and tolerant of human-induced habitats in the city. Therefore, city planners must consider conserving urban bird species' habitats and feeding sites. [ABSTRACT FROM AUTHOR]

City planners are seeking ways to incorporate human-centric urban projects that combine smart technology, good infrastructure and people's perception as well as their participation. Smart city developments are increasingly being applied to smaller scales at which communities can co-design hard infrastructure and the resulting services. Experiences from city projects at this level have produced a plethora of designs, challenges and success factors, particularly from cases in countries with long legacies in city development. In the Gulf Cooperation Council region, young cities and new planned cities house the bulk of the population and face environmental challenges related to urban segregation, urban sprawl and large consumption footprints. The political-economy of this region in terms of central urban planning and government-led economic development offers valuable insights on the limits and challenges in implementing projects related to smart and connected communities (SCC). SCC as a label for smart urban interventions towards more connectedness between hard and soft (human-related) infrastructure can provide opportunities for participatory and sustainable urban planning in the region. This paper analyzes the role of community-level interventions within the smart city policies of Gulf countries. It shows that only few local-level projects exist, while the barriers to large-scale SCC initiatives are related to demographics, community characteristics, technological sophistication, lack of conducive regulations, and the prevalence of central urban planning. The success of local smart city approaches in the Gulf is dependent on public leadership in terms of clearing obstacles, designing broader strategies, and expanding projects to include the residential sector. Considering the potential of SCC projects to enhance the transition to sustainability in the predominantly urban Gulf societies, broader engagement of local governments, utilities, and community-level developers can result in tangible benefits in terms of more sustainable, smart and tailored local services. [ABSTRACT FROM AUTHOR]

Urban planners are involved in designing future urban energy systems as a part of their path toward decarbonization or Net Zero targets before 2050. In this process, new energy and information flows between industrial and urban regions should be considered, as well as safety and security managerial aspects regarding the existing and new infrastructures. This research aims to help engineering professionals and public planners define new collaboration dynamics to make industrial energy systems safer, more secure, and interoperable, surpassing the existing knowledge. Firstly, several recent R&D aspects are analyzed, demonstrating the organizational gap and providing early integration or knowledge reuse opportunities from R&D projects. After that, the authors present a model called Industrial-Interoperable Safe and Secure Urban Energy Systems (i-ISSUES), a multi-disciplinary approach combining classic urban energy planning, information technology use, safety and security management, and systems engineering as the integrated disciplines. The model detects research trends, providing a first set of readings with some improvements. [ABSTRACT FROM AUTHOR]

Cities can be effectively transformed into smart cities (SCs) to support sustainability, green economy (GE) and sustainable development (SD). Urbanization policies are important for SCs's effectiveness in GE and sustainability. The study aims to propose suggestion on preliminary pillars of the multi-layered conceptual model towards contribution of smart governance (SG) in SCs to GE and sustainability. Therefore, the study reviews the literature in different search engines (e.g., Web-of-Science, Scopus, Sciencedirect) with keyword combinations of SC, GE, SC governance and sustainability. The study examines SC examples and SG strategies to support GE. The findings highlight the contribution of SC and effective SG to the GE and the multi-layered nature of SC that changes strategically through a multi-actor and multi-sectoral approach. The results emphasize that sustainability interacts with the SC, creating a closed loop that supports SC governance to develop GE. Furthermore, the results provide preliminary suggestion on main pillars of the conceptual model as five aspects (technological, governance, environmental, social, economic) and five keys (ICT-led urban-growth, collaboration, integration, transparency & accountability, green performance) that can support GE because of the interactions of SG and SD. The study can be beneficial for municipalities, urban planners, and researchers in the relevant field. [ABSTRACT FROM AUTHOR]

This study examines the influence of ethical rules on Turkish planners' ability to carry out their duties. Researchers used qualitative and quantitative methods, including a survey with hypothetical scenarios and prioritization tests, to measure ethical preferences. Findings indicate that planners in Turkey make ethically inappropriate choices in providing information outside their field of expertise and publishing information on demand. However, their responsibility to the public and public interest principle come to the forefront in planners' ethical preferences. Planners preferred deontological ethics in performing their professional duties, but also preferred more political and hybrid roles. [ABSTRACT FROM AUTHOR]