Journal of Urban Management最新文献

{"title":"Unbalanced burden is escalating: Urban inequality landscape under sudden shocks?","authors":"Yinshuai Li ,&nbsp;Nan Jia ,&nbsp;Wen Song ,&nbsp;Jie Cheng ,&nbsp;Ruishan Chen","doi":"10.1016/j.jum.2024.08.006","DOIUrl":"10.1016/j.jum.2024.08.006","url":null,"abstract":"<div><div>Sudden and unforeseen events, notably the COVID-19 pandemic has underscored and exacerbated pre-existing urban inequalities. These disruptions have disproportionately affected the most vulnerable sectors of society, thereby further aggravating existing inequalities. Addressing these inequality issues requires systematic research into academic community's response to significant global disturbances. Therefore, we have integrated bibliometric analysis with meta-analysis (quantitatively combines research results from systematic reviews) techniques, culminating in a research framework based on KNIME software (a software for creating data applications and services) and Python programming. Noteworthy for its open-source nature, scalability, and reproducibility, this framework tries to decode the developmental patterns and response characteristics of urban inequality research under sudden shocks. Additionally, it seeks to clarify its causal pathways, predict the emergence of new or strengthened inequalities, and provide effective suggestions to promote inclusive and sustainable urban development. Our findings indicate that the COVID-19 has exacerbated the existing urban inequality, attracting widespread attention in fields such as society and public health. Issues of fairness and justice of human health, resource allocation, urban resilience and vulnerability have become hot topics around COVID-19 related urban inequalities. Simultaneously, the sudden shocks have led to disparities in research areas and themes. Social, economic, and urban planning are the main drivers behind urban inequality, and particularly affecting vulnerable groups, including low-income populations and those living in remote regions. Before and after the COVID-19, the average global urban inequality are 0.57 and 0.61, respectively. Inequality issues are particularly severe in Africa and countries such as Afghanistan, Pakistan, and India. The pandemic changed the focus of urban inequality to health and social issues, worsening inequality performance in these regions and deepening global gaps. Additionally, countries with high urban inequality are more prone to large-scale outbreaks and higher mortality rates. To this end, we advocate academia for in-depth research and comprehensive evaluation, focusing on vulnerable groups, providing integrated policy recommendations, supporting interdisciplinary exchanges and cooperation, and committing to find long-term sustainable solutions. These efforts aim to propose more comprehensive and reasonable solutions to alleviate and address complex urban inequality issues under sudden shocks.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 1","pages":"Pages 32-48"},"PeriodicalIF":3.9,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143548861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing determinants of traffic violations in a multi-cultural setting: Case of Abu Dhabi","authors":"Praveen Maghelal ,&nbsp;Zhizhao Li ,&nbsp;Ahmed Alfarra ,&nbsp;Pengyu Zhu","doi":"10.1016/j.jum.2025.01.006","DOIUrl":"10.1016/j.jum.2025.01.006","url":null,"abstract":"<div><div>Abu Dhabi, the largest emirate in the United Arab Emirates (UAE), has a diverse population of 2.908 million, with 81% being non-Emiratis from various global regions. This diversity in demographics introduces a complex driving environment with varying skills and experiences, particularly as the majority rely on private vehicles. Road accidents are a leading cause of death globally, with the eastern Mediterranean region, including the UAE, reporting high fatality rates. In Abu Dhabi, the unique licensing policy allows residents from certain countries to obtain a UAE license without testing, potentially contributing to traffic violations and accidents. This study examines the relationship between the UAE's licensing policies and traffic violations in Abu Dhabi using responses from 354 participants surveyed across five vehicle inspections centers, providing insights for policy improvements. We find that: 1) switching of license reports better driving behavior and fewer traffic violations in comparison to those testing for their UAE license; 2) foreign drivers from the Eastern have a lower frequency of traffic violations, which may be related to cultural differences; 3) household size, income, and education correlate with traffic violations; and 4) irritable drivers have a significantly higher frequency of violations. Our findings challenge assumptions about the risks associated with license conversion and highlight the complex interplay of sociodemographic factors, driving behaviors, and local driving knowledge in shaping traffic violation patterns.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 3","pages":"Pages 675-689"},"PeriodicalIF":5.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144893625","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":"The factors in assessing “good houses” are multidimensional","authors":"Chen Hua","doi":"10.1016/j.jum.2025.02.003","DOIUrl":"10.1016/j.jum.2025.02.003","url":null,"abstract":"<div><div>This paper examines the key factors in evaluating a \"good house.\" When designing and constructing a house, safety must be a priority throughout the entire process. Based on the characteristics of the intended user group, potential health and hygiene risks should be minimized, and the spatial configuration of living facilities should be thoughtfully planned. From a long-term perspective, the house should accommodate various user behaviors while balancing cost-effectiveness and visual appeal. Additionally, a well-equipped community with strong interpersonal relationships and a prime location contributes significantly to the overall convenience of a “good house.” Beyond its function as real estate, a house also holds cultural and financial value, both of which influence its evaluation. As societal needs evolve, factors such as energy efficiency, environmental sustainability, personalized design, and the ability to support multiple concurrent activities will increasingly shape the standards for evaluating a “good house.”</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 311-313"},"PeriodicalIF":3.9,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948233","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":"Urban tech ecosystems: A framework for assessing the impact of development policies on startup clusters","authors":"Emílio Bertholdo,&nbsp;Karin Regina de Castro Marins","doi":"10.1016/j.jum.2025.01.009","DOIUrl":"10.1016/j.jum.2025.01.009","url":null,"abstract":"<div><div>Startup clusters exert a significant influence on territorial dynamics and local urban development by attracting job opportunities, talent, and shaping market interest, supported by effective land use policies. This study examines the impact of Urban Development Policies (UDP) on technology startup clusters' sustainability, focused on the city of São Paulo, in Brazil. It recognizes a gap in understanding UDP's influence on cluster growth, which motivates the research. The study employs a four-phase method: technology mapping, territorial differentiation, metric configuration, and decentralized district aggregation, utilizing QGIS and Python. The results reveal a trend of cluster formation in UDP areas due to infrastructure, academic proximity, and commercial growth, highlighting the interplay between urban policies, infrastructure development, and economic opportunities. The findings provide insights to strategic urban development policies, emphasizing holistic strategies for employment enhancement, sustainable urban evolution, and effective talent and real estate management. These implications advance knowledge in urban issues, policy implementation, urban design, and urban services provision, pertinent to the global development context. Results show actionable solutions to address urban challenges, build innovative urban solutions and support local sustainable development with technology startup clusters.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 3","pages":"Pages 940-952"},"PeriodicalIF":5.0,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144893542","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":"From a visual standpoint: Exploring the influence of the built environment, especially road ratio, on mental wellbeing before and after the COVID-19 outbreak in Hong Kong","authors":"Ning Chen ,&nbsp;Xiaodong Chen ,&nbsp;Pengyu Zhu","doi":"10.1016/j.jum.2024.09.004","DOIUrl":"10.1016/j.jum.2024.09.004","url":null,"abstract":"<div><div>Road ratio, representing the proportion of roads in the street view, exerts varying degrees of visual influence on the mental well-being of residents. In our study, we surveyed the psychological conditions of 2,636 Hong Kong residents across four periods: before, during, and after the pandemic. Utilizing machine learning algorithms, we analyzed street view images within a 100-m radius of the residents' locations to determine the proportion of roads within the street views. This served as a representation of the visual impact of roads on residents. Subsequently, we employed Ordinary Least Squares (OLS) models and Multinomial Logit (MNL) models to investigate the relationship between the proportion of road presence in street views and the frequency of various forms of stress among residents across the four identified periods. Our findings indicate that an increase in road ratio correlates with a higher incidence of diverse stress forms. This effect was particularly pronounced during the pandemic, where the influence of road ratio on the frequency of depressive episodes intensified and persisted even after the pandemic had ended. The significance of our research lies in its implications for future urban planning, specifically in how road ratio near residential areas can be reduced and offset with more natural elements to mitigate the adverse effects of road ratio on residents' mental health.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 325-341"},"PeriodicalIF":3.9,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948280","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 urban sprawl in Baqubah, Iraq: A study of influential factors","authors":"Kimia Ghasemi ,&nbsp;Abdullah Mohammed Jarallah Al-Zubaidi ,&nbsp;Mohamad Molaei Qelichi ,&nbsp;Kasra Dolatkhahi","doi":"10.1016/j.jum.2025.01.013","DOIUrl":"10.1016/j.jum.2025.01.013","url":null,"abstract":"<div><div>Urban sprawl poses significant challenges to urban sustainability, spatial efficiency, and social equity, particularly in mid-sized cities within resource-constrained settings. This study addresses critical gaps in understanding the interplay between urban sprawl and densification processes in Baqubah, Iraq, a city experiencing rapid population growth within fixed spatial boundaries. Employing an integrated methodological framework, this research utilized satellite imagery from Landsat 7, 8, and 9 datasets, preprocessed with radiometric corrections using ENVI, GIS, and Google Earth software. Land cover data were classified through the maximum likelihood classification method to reveal spatial transformations over three decades (1992, 2007, and 2022). To analyze urban growth dynamics, the Holdren Index quantified the contributions of population growth and per capita land use changes. Spatial autocorrelation methods, including Moran's Index, High/Low Clustering, and Hot Spot Analysis, were applied to detect clustering patterns and significant spatial hotspots. Additionally, the MICMAC structural analysis method identified interdependencies among key drivers of urban sprawl. The findings indicate that urban growth in Baqubah from 1992 to 2022 has predominantly manifested as densification, with built-up areas increasing from 33.29% to 46.55%. Factors such as housing investment, shape index, economic growth, and planning policies emerged as critical drivers shaping these patterns. The research emphasizes sustainable strategies, including vertical expansion, green infrastructure preservation, participatory governance, and advanced spatial monitoring, to mitigate the adverse effects of sprawl while promoting sustainable urban development. These insights offer a replicable framework for addressing urbanization challenges in comparable mid-sized cities.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 3","pages":"Pages 787-812"},"PeriodicalIF":5.0,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144893632","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":"Simulation-based evaluation of the impact of civic literacy on participatory urban planning: A study of introducing Shared Autonomous Vehicles","authors":"Shiyuan Wang,&nbsp;Kazuo Hiekata,&nbsp;Takuya Nakashima","doi":"10.1016/j.jum.2025.02.001","DOIUrl":"10.1016/j.jum.2025.02.001","url":null,"abstract":"<div><div>As participatory urban planning has gained traction recently, the consensus-building process among citizens has become crucial to its success. In particular, the level of understanding among citizens regarding new technologies or systems in the city, referred to as civic literacy in this study, can significantly impact the quality and speed of consensus building. While frameworks exist to replicate this consensus-building process, no research has considered differences in civic literacy or applied them to participatory urban planning issues. This study proposes a simulation-based method to quantitatively evaluate how civic literacy influences the consensus-building process for new policies. Consensus building process of the introduction of Shared Autonomous Vehicles (SAVs) was examined as a case study. The python-based multi-agent simulator was built based on the group decision making framework combining with the level of understanding among citizen stakeholders which is represented by two factors: utility bias from true values and their variance (degree of uncertainty) regarding the benefits of SAVs. Through Monte Carlo simulations with several conditions, we observed significant variations in the patterns of change in both the speed and quality of the consensus-building process due to differences in initial values. For instance, changing the information level can, in some cases, more than double the time required for consensus. This effect varies greatly depending on the rigor of the consensus and the strength of the bias.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 3","pages":"Pages 769-786"},"PeriodicalIF":5.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144893631","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":"Using system dynamics to inform scenario planning: Application to the Souss-Massa basin, Morocco","authors":"Ayoub Guemouria ,&nbsp;Abdelghani Chehbouni ,&nbsp;Salwa Belaqziz ,&nbsp;Driss Dhiba ,&nbsp;Lhoussaine Bouchaou","doi":"10.1016/j.jum.2025.01.012","DOIUrl":"10.1016/j.jum.2025.01.012","url":null,"abstract":"<div><div>The watershed represents a holistic system whose poor understanding of its multiple subsystems can lead to a pronounced water scarcity. This study aims to develop an innovative technique for managing water resources within the Souss-Massa watershed. It uses the System Dynamics (SD) methodology to analyze the interplay among the factors involved in water supply and demand. The results show that under the Business As Usual (BAU) scenario, water sustainability in this watershed is not assured. Groundwater drawdown (GWD) will increase significantly, with an estimated average decrease of −337 Mm³ for the period 2022 to 2050. To remedy this critical situation, several simulations were developed, each representing a distinct scenario. Scenario 1 improves irrigation efficiency by 10%, while scenario 2 achieves a 20% improvement. Scenario 3 builds on scenario 2 by doubling the volume of reused water. Scenario 4 extends scenario 3 by also doubling the volume of desalinated water. Scenario 5 combines the 10% improvement in irrigation efficiency from scenario 1 with a doubling of both reused and desalinated water volumes, along with a stabilization of irrigated areas. Scenario 6 adds a 7% increase in water supply to the measures in scenario 5. Finally, scenario 7 combines the 10% irrigation efficiency improvement from scenario 1 with a doubling of reused and desalinated water volumes, but reduces the irrigated area by 15%. This study is of crucial importance to decision-makers, as it provides them with strategies for promoting water-saving practices and, consequently, advancing the sustainable development agenda.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 3","pages":"Pages 753-768"},"PeriodicalIF":5.0,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144893630","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":"2025-02-11","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":"How does urban spatial structure affect sustainable development Goal 11.7? An empirical study of 265 cities in China","authors":"Kan Wang,&nbsp;Xing Dang,&nbsp;Jianjun Bai","doi":"10.1016/j.jum.2025.01.008","DOIUrl":"10.1016/j.jum.2025.01.008","url":null,"abstract":"<div><div>The United Nations’ Sustainable Development Goal 11.7 (SDG 11.7) is primarily used to assess the sustainability of urban public spaces. Urban spatial structure (USS) can profoundly influence the level of SDG 11.7. Existing research has typically focused on the impact of single-dimensional USS indicators on SDG 11.7, often failing to incorporate multiple dimensions into a comprehensive evaluation system. Based on an assessment of SDG 11.7 in 265 Chinese cities, this study selected six-dimensional USS indicators that comprehensively reflect various aspects of USS, namely, urban size, urban sprawl, urban accessibility, urban expansion, urban compactness, and urban shape. It then systematically analyzed the impact of these indicators on SDG 11.7 using panel regression, geographically and temporally weighted regression, quantile regression, and the spatial Durbin model. Furthermore, this study explored the spatial heterogeneity, nonlinear characteristics, and spatial effects present in the influence of USS on SDG 11.7. The findings indicated the following: (1) urban size, accessibility, and compactness significantly impacted SDG 11.7, with urban size and accessibility having positive effects; (2) the impact of USS on SDG 11.7 varied across different spatial locations, and these spatial disparities evolved over time; (3) the impact of USS on SDG 11.7 exhibited nonlinear characteristics. In cities with higher SDG 11.7 levels, the positive effects of urban accessibility and shape became more pronounced; (4) USS affected not only local SDG 11.7 but also that of neighboring cities through spatial effects. These findings elucidate how USS affects SDG 11.7, thereby providing decision support for sustainable urban development.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 3","pages":"Pages 700-716"},"PeriodicalIF":5.0,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144893627","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}