Journal of Urban Management最新文献

{"title":"A structural equation model of the critical success factors for sustainable smart cities: A case study of Abu Dhabi","authors":"Rahaf Ajaj ,&nbsp;Mohanad Kamil Buniya ,&nbsp;Ibrahim Yahaya Wuni ,&nbsp;Omar Sedeeq Yousif","doi":"10.1016/j.jum.2025.02.008","DOIUrl":"10.1016/j.jum.2025.02.008","url":null,"abstract":"<div><div>Sustainable Smart Cities (SSCs) have garnered significant attention due to the accelerating rate of urbanization, and digitalization recently. The main objective of SSC initiatives is to seamlessly integrate digital technology into the city's fundamental systems, ultimately enhancing the citizens' quality of life. In light of this, a study was conducted to pinpoint the Critical Success Factors (CSFs) necessary for Abu Dhabi's transformation into SSC. These CSFs were identified via an investigation of the literature and further confirmed by practitioners via semi-structured interviews and questionnaires. Through these methods, the research demonstrated a robust correlation between SSC implementation and CSFs. With this in mind, the study identified 22 CSFs across four primary categories: people and communities, governance, technology, and management and organization. The study then prioritized these CSFs for Abu Dhabi, highlighting the importance of end-user involvement, accountability, good communication, and project team skills and experience in boosting the implementation of SSC initiatives. Ultimately, it is crucial to consider and prioritize CSFs when designing SSCs to ensure that they truly benefit citizens and the economy. This research provides a useful framework for cities around the world looking to create and implement SSC initiatives that will enhance their citizens' quality of life.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 3","pages":"Pages 843-855"},"PeriodicalIF":5.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144893635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive geospatial analysis of urban expansion dynamic in Lahore, Pakistan (1998–2023)","authors":"Sona Karim ,&nbsp;Yaning Chen ,&nbsp;Patient Mindje Kayumba ,&nbsp;Ishfaq Ahmad ,&nbsp;Hassan Iqbal","doi":"10.1016/j.jum.2024.11.012","DOIUrl":"10.1016/j.jum.2024.11.012","url":null,"abstract":"<div><div>Lahore, a UNESCO city in Pakistan, is projected to rise from the sixth to the third fastest-growing city worldwide by 2030. This rapid urbanization challenges its commitment to cultural and ecological preservation, positioning it as an international case study in urbanization research. Thus, the Lahore Development Authority emphasizes the need for ongoing monitoring of urban dynamics to support effective planning and achieve sustainability targets, including Sustainable Development Goal 11. To contribute, we used high-resolution Landsat imagery to analyze the spatial diverging patterns of urban extent from 1998 to 2023 in Lahore. Additionally, we employed a Cellular Automata (CA) Markov Chain model to project urban growth over the next 25 years. As of 2023, we estimated that approximately 53.6% (92,660.9 ha) of Lahore is urbanized, while 46.4% remains unaffected by urban activities. Projections for 2048 suggest that the urban footprint may expand to 75.8% (131,031.5 ha), leaving only 24.2% of the area free from urbanization. Our analysis also revealed divergent urban expansion patterns significantly impacting local ecosystems. It showed a 31% reduction in inland water bodies, a 39.8% loss of vegetation, and a 60.1% decrease in sparse areas, all attributable to urban development. As natural landscapes are replaced by built environments, Lahore is likely facing increasing challenges that could jeopardize the city's green growth and urban ecological balance. Therefore, we urge land use managers, urban planners, and stakeholders in Pakistan to promote initiatives that enhance urban resilience, particularly through smart city planning and creating green and blue spaces. By focusing on Lahore, this study also provides valuable insights that can serve as a benchmark for other rapidly urbanizing cities facing similar challenges.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 577-589"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the efficacy of artificial intelligence based city-scale blue green infrastructure mapping using Google Earth Engine in the Bangkok metropolitan region","authors":"Md. Mehedi Hasan ,&nbsp;Malay Pramanik ,&nbsp;Iftekharul Alam ,&nbsp;Atul Kumar ,&nbsp;Ram Avtar ,&nbsp;Mohamed Zhran","doi":"10.1016/j.jum.2024.11.009","DOIUrl":"10.1016/j.jum.2024.11.009","url":null,"abstract":"<div><div>Urbanization disrupts natural water, energy, and nutrient cycles, but integrating green and blue infrastructures (BGI) can mitigate these effects by facilitating processes like evapotranspiration, soil water infiltration, and root nutrient absorption. In Bangkok Metropolitan Region (BMR), escalating urbanization poses challenges to these natural cycles. Mapping Land Use and Land Cover (LULC) and identifying green infrastructure locations are crucial for effective urban planning, sustainable development, and environmental conservation amidst rapid urban growth. Continuous monitoring of dynamic urban areas is time-consuming, labor-intensive, and costly. Previous research primarily focused on land use and land cover classification followed by BGI identification. An automated classification system focusing solely on BGI can greatly enhance efficiency, accuracy, and cost-effectiveness in land classification for urban planning and decision-making. However, automating this system remains a significant challenge for the remote sensing community. Therefore, the research is first to develop a cloud based artificial intelligence tools such as Smile Random Forest and Smile CART integration with Google Earth Engine (GEE) to identify BGI for BMR. For this analysis, we have used open-sources and mostly used satellite images (e.g., Landsat and Sentinel) and consider to analyze seasonal changes for waterbodies, natural vegetations and human intervened vegetations with developing cloud-based artificial intelligence (AI). Surprisingly, Landsat-9 data demonstrated superior accuracy compared to Sentinel-2, indicating that the advanced technology of Landsat 9 may be more effective for BGI classification using AI. The study revealed a most distinct transition from deep green to green infrastructures during the transition from summer to monsoon season, whereas significant changes in blue infrastructure occurred between the monsoon and winter seasons. Seasonal variations in BGI are complex and influenced by factors such as the types of BGI implemented and the nuances of local climatic conditions. These advancements could provide precise insights for urban managers and policymakers, offering valuable tools to identify and understand BGI dynamics across various urban scales.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 434-450"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Good housing: International experiences and future visions","authors":"Yuzhe Wu","doi":"10.1016/j.jum.2025.04.011","DOIUrl":"10.1016/j.jum.2025.04.011","url":null,"abstract":"","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 309-310"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial structure and mechanism of cross-city patient mobility network in the Yangtze River economic belt of China","authors":"Bowen Xiang ,&nbsp;Mengyao Hong ,&nbsp;Fang Guo ,&nbsp;Wei Wei","doi":"10.1016/j.jum.2024.11.013","DOIUrl":"10.1016/j.jum.2024.11.013","url":null,"abstract":"<div><div>Cross-city patient mobility reflects the geographic mismatch in medical resources, posing significant challenges for healthcare accessibility and equitable resource allocation. However, existing research methods inadequately capture the complex relationships between healthcare supply and demand as well as the proximity mechanisms influencing patient mobility. In this study, we used 500,120 patient online evaluations to build the 2023 Cross-city Patient Mobility Network (CPMN) for the Yangtze River Economic Belt (YREB), and analyzed its spatial structure and influencing factors using healthcare relative size index, dominant association analysis, and explainable machine learning modeling. The results show that: (1) There is a double logarithmic linear relationship between healthcare supply size and intensity (coefficient 0.627), and a weak negative correlation between demand size and intensity; (2) While the spatial organization of healthcare aligns with administrative boundaries and hierarchies, exceptions are observed in parts of Shanghai and Chongqing's healthcare catchment areas; (3) Social proximity, geographical proximity and institutional proximity are significant in patient mobility. This research contributes new data and methods to health geography and offers theoretical and empirical insights critical for optimizing healthcare resource allocation in the YREB, ultimately addressing the challenges of equitable healthcare access.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 562-576"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding the dynamics of urban just transitions: An interdisciplinary analysis with latent dirichlet allocation (LDA)","authors":"Yuhang Sun ,&nbsp;Ye Luo ,&nbsp;Xuepeng Qian ,&nbsp;Liang Dong","doi":"10.1016/j.jum.2024.12.001","DOIUrl":"10.1016/j.jum.2024.12.001","url":null,"abstract":"<div><div>Despite the presence of literature on just transitions in cities, the knowledge gap exists in analyzing the evolving trends and trajectories of justice themes in urban transitions. This study develops a comprehensive analytical framework to identify the emerging research trends related to urban just transition by using LDA. Based on the socio-ecological-technological system (SETS) analytical framework and justice-related theoretical frameworks, this research examines the evolving characteristics and prominent issues in existing studies on just transition in urban contexts. We find that the E-T dimension within SETS is receiving increasing attention from researchers, while the inclusiveness and restorativeness dimensions within urban justice are more specifically analyzed. The study not only identifies the complex trends and dynamic changes in the process of urban just transition but also identifies key research areas for future investigations. It provides scholars and practitioners in the field of urban transformation with valuable insights and references, aiming to foster the development of more sustainable and just urban areas.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 485-499"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generated nighttime street view image to inform perceived safety divergence between day and night in high density cities: A case study in Hong Kong","authors":"Xiaotong Ye ,&nbsp;Yuankai Wang ,&nbsp;Jiajing Dai ,&nbsp;Waishan Qiu","doi":"10.1016/j.jum.2024.11.006","DOIUrl":"10.1016/j.jum.2024.11.006","url":null,"abstract":"<div><div>Safety perception is widely considered a fundamental aspect of urban life, which significantly influences citizens' well-being and quality of life as well as having crucial impact on the nighttime economy. However, there is a scarcity of understanding of nighttime safety despite the fast-growing body of urban scene auditing research based on daytime street view imagery (SVI). To fill the gap, this study collected ∼1000 pairwise day-and-night SVIs to train a day-to-night (D2N) SVI generator to effectively predict nighttime SVI based on daytime counterpart using generative adversarial network (GAN). The accuracy of fake nighttime image was evaluated with commonly-used GAN metrics (e.g., structural similarity index, inception score) and human validation. Then, an online visual survey with 46 participants was conducted to collect their perceived safety on street scenes during daytime and nighttime (D&amp;N), and the results become training labels for machine learning models to predict D&amp;N safety perceptions. Our results revealed significant discrepancies in D&amp;N safety perception. First, through correlation analysis, we found that the sky and building features matter to the prediction accuracy of generated nighttime SVIs. Second, the micro-level streetscape features (e.g., pavements, roads, and buildings) play influential roles in perceived safety. Third, higher safety perceptions are consistently found in areas with higher building density regardless of whether they are daytime or night. In contrast, untended trees and grass reduce perceived safety at night. This study provides a valuable reference for improving the accuracy of generating nighttime images from daytime SVIs. It also reveals how streetscapes affect D&amp;N safety perceptions in high-density cities like Hong Kong, providing empirical evidence for urban design policies to facilitate nighttime attractiveness and prosperity.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 379-401"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping the endogenous drivers of mega-urbanisation in contemporary urban development","authors":"Xinqin Liu ,&nbsp;Runzhu Gu ,&nbsp;Sujit Kumar Sikder ,&nbsp;Zhiqiu Xie ,&nbsp;Chika Takatori ,&nbsp;Xiaoping Xie","doi":"10.1016/j.jum.2025.01.001","DOIUrl":"10.1016/j.jum.2025.01.001","url":null,"abstract":"<div><div>The urbanisation process of recent decades has resulted in new urban structures that can be circumscribed by two standard concepts, namely the megacity and the metropolitan region. One common feature of these new structures is that cities/urban areas are becoming much larger in population as well as spatial size and continue to grow unabated – a trend of “mega-urbanisation”. The planning and administrative systems set up under the traditional urban-rural dichotomy no longer reflect the reality of settlement growth and therefore lead to a blurring of city boundaries and challenges in the management of urban areas. Here we make use of geospatial modeling and open-source data for a high-level spatial-linking approach across multiple scales and a long-term perspective in three distinct socio-economic settings, specifically Germany, Japan and China's Yangtze River Delta region and therefore visualize urban development trends over 45 years. Our mapping indicates that the emergence of megacities and metropolitan regions is primarily driven by endogenous industrial change, particularly between the secondary and tertiary sectors of the economy. Our findings shed new light on research in regional development and planning and demonstrate the need to go beyond the prevailing discussion that focuses on advanced producer services in the context of an ever-advancing globalisation process.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 530-542"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associating COVID-19 prevalence and built environment design: An explainable machine learning approach","authors":"Qingyao Qiao ,&nbsp;Chongyang Ren ,&nbsp;Shuning Chen ,&nbsp;Reka Tundokova ,&nbsp;Ka Yan Lai ,&nbsp;Chinmoy Sarkar ,&nbsp;Yulun Zhou ,&nbsp;Chris Webster ,&nbsp;Eric Schuldenfrei","doi":"10.1016/j.jum.2024.10.009","DOIUrl":"10.1016/j.jum.2024.10.009","url":null,"abstract":"<div><div>Stay-at-home orders were globally adopted as one of the most important nonpharmaceutical interventions (NPIs) during the recent global pandemic. In a high-rise high-density context of Hong Kong, inter-building airborne transmissions were reported, especially in public housing. The role of residential building design in infection dynamics is under-studied. To unravel how architectural and urban design was linked to airborne virus transmission during the pandemic, we fitted explainable machine learning (EML) models associating COVID-19 prevalence with architectural design controlling for other built environment (BE) factors including socio-demographics, road information, land use, and points of interest (POIs). 284 public housing that underwent restriction-testing declaration (RTD) during the peak period of the pandemic's fifth wave were our sample. An additional 35 RTD-issued private housing blocks were used for an initial comparison of infection prevalence across public and private housing. Our findings show a significant differential in prevalence over different design forms, with \"8-\" and \"L-\" shaped buildings appearing to be more susceptible, with a significantly greater percentage of infections than \"X-\" and \"Y-\" shaped structures. The percentage of vacant land, public residential within a 500-m buffer, and the proportion of children ages under 14 ​at small tertiary planning unit level (STPU) were the three most influential co-variates in our model. Among specific architectural design features, the number of floors, radial layouts, and building corners were the most significantly associated with COVID-19 prevalence, followed by building average flat (apartment) size and shape factor. The study indicates that public housing residents were more at risk during this wave of the pandemic, which needs further investigation. Using machine learning, we provide insights into how to manage the design of high density neighbourhoods for resilience against airborne disease vectors.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 342-361"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Social conflicts and their resolution paths in the commercialized renewal of old urban communities in China under the perspective of public value","authors":"Dexin Wang,&nbsp;Shijun Li","doi":"10.1016/j.jum.2024.11.007","DOIUrl":"10.1016/j.jum.2024.11.007","url":null,"abstract":"<div><div>Constructing a sustainable community renewal model and effectively resolving social conflicts are key issues in urban governance and social stability in contemporary China. This study focuses on the social conflicts arising from the commercialization-driven renewal of the Workers' Village community in Chengdu. Using a combination of case study methods, structured interviews, and participant observation, we explore the public value conflicts and their resolution pathways in the process of community renewal. The study reveals that the formation of public values is a dynamic process characterized by the interplay of multiple value systems, with various public value conflicts emerging in the commercialization of communities. To resolve these social conflicts, it is essential to fully consider the diverse interests of different groups and contexts, as well as the varying public values at stake. By promoting democratization and institutionalization, the different public values that arise from these conflicts can be transformed into a widely recognized value consensus. Grounded in public value theory, this study proposes a social conflict resolution model that transcends traditional approaches. It not only examines the key stakeholders involved in social conflicts during community renewal and the manifestations of value conflicts among them, but also emphasizes the importance of integrating and transforming divergent public values through active dialogue and negotiation. This process, involving multiple stakeholders, follows a trajectory from the aggregation of public values to negotiation and ultimately to value reshaping. The proposed model provides a new governance framework and methodological support for addressing social conflicts in community renewal, offering innovative insights into the integration and reconciliation of public values.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 402-417"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}