Pub Date : 2025-06-01Epub Date: 2025-02-22DOI: 10.1016/j.jum.2025.02.003
Chen Hua
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.”
{"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":"2025-06-01","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}
Urbanization is widely acknowledged as a significant driver of a nation's economic growth and participation in global trade. However, there is considerable debate regarding the sequence of events: whether urbanization fosters economic development and, subsequently, trade, economic growth, and trade precede urbanization, or whether there is a reciprocal relationship between them. Each perspective has its theoretical underpinnings, necessitating empirical evidence to discern the causal direction, which holds significant policy implications. This research explores the relationship between urbanization, economic development, and trade over the short and long term. Through a comprehensive examination utilizing cointegration and Granger causality tests conducted on data from Saudi Arabia from 1991 to 2022, the study first establishes the integration order of the variables. Subsequently, it employs the Autoregressive Distributed Lag (ARDL) and Error Correction Model (ECM) techniques to unravel short-term and long-term causal dynamics. The findings unveil a relationship between urbanization and economic development, with evidence pointing to bidirectional causality between these variables across both short and long terms. Regarding the relationship between trade and economic development, while short-term causality flows in both directions, the long-term analysis suggests a unidirectional relationship between trade and economic development. This implies an indirect linkage between trade and urbanization through GDP, as no direct causality between trade and urbanization is evident. Finally, this paper uncovers this interactive connection to urban resilience.
{"title":"Analyzing the interplay of urbanization, economic development, and seaborne trade: Revealing their connection to urban resilience in Saudi Arabia","authors":"AHM Mehbub Anwar , Nourah Alhosain , Yagyavalk Bhatt","doi":"10.1016/j.jum.2024.12.004","DOIUrl":"10.1016/j.jum.2024.12.004","url":null,"abstract":"<div><div>Urbanization is widely acknowledged as a significant driver of a nation's economic growth and participation in global trade. However, there is considerable debate regarding the sequence of events: whether urbanization fosters economic development and, subsequently, trade, economic growth, and trade precede urbanization, or whether there is a reciprocal relationship between them. Each perspective has its theoretical underpinnings, necessitating empirical evidence to discern the causal direction, which holds significant policy implications. This research explores the relationship between urbanization, economic development, and trade over the short and long term. Through a comprehensive examination utilizing cointegration and Granger causality tests conducted on data from Saudi Arabia from 1991 to 2022, the study first establishes the integration order of the variables. Subsequently, it employs the Autoregressive Distributed Lag (ARDL) and Error Correction Model (ECM) techniques to unravel short-term and long-term causal dynamics. The findings unveil a relationship between urbanization and economic development, with evidence pointing to bidirectional causality between these variables across both short and long terms. Regarding the relationship between trade and economic development, while short-term causality flows in both directions, the long-term analysis suggests a unidirectional relationship between trade and economic development. This implies an indirect linkage between trade and urbanization through GDP, as no direct causality between trade and urbanization is evident. Finally, this paper uncovers this interactive connection to urban resilience.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 512-529"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948063","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}
Pub Date : 2025-06-01Epub Date: 2024-12-06DOI: 10.1016/j.jum.2024.11.014
Ju He , Yongzhong Tan
As the governance modernization and new-type urbanization deepens, China's urbanization process is gradually entering the "second half". Understanding the policy practices and transformation logic of China's urban spatial growth in a systematic perspective is significant in clarifying the enhancement path of future urban spatial growth governance. This study, based on the perspective of spatial governance, focuses on the basic elements of urban spatial growth governance such as goals, actors, methods, and objects. It comprehensively examines the evolution of China's urban spatial growth governance since the reform and opening-up, and analyzes the underlying logic of the transformation. The study finds that the governance of urban spatial growth in China has gone through four main stages, with the multidimensional shifts in governance goals, subject relations, governance methods, and spatial objects behind each stage constituting the basic storyline of governance evolution, influenced by a combination of macro environment, system reforms, spatial issues, and technological changes. In the future, clarifying the governance concepts of urban spatial growth in the new stage, shaping interactive and collaborative subject relations, improving institutional systems and innovative technological tools, and designing differentiated governance strategies based on the characteristics of spatial objects will become important directions for enhancing China's urban spatial governance capacity and even spatial governance modernization.
{"title":"Evolution logic of urban spatial growth governance and its enlightenment in China: From a perspective of spatial governance","authors":"Ju He , Yongzhong Tan","doi":"10.1016/j.jum.2024.11.014","DOIUrl":"10.1016/j.jum.2024.11.014","url":null,"abstract":"<div><div>As the governance modernization and new-type urbanization deepens, China's urbanization process is gradually entering the \"second half\". Understanding the policy practices and transformation logic of China's urban spatial growth in a systematic perspective is significant in clarifying the enhancement path of future urban spatial growth governance. This study, based on the perspective of spatial governance, focuses on the basic elements of urban spatial growth governance such as goals, actors, methods, and objects. It comprehensively examines the evolution of China's urban spatial growth governance since the reform and opening-up, and analyzes the underlying logic of the transformation. The study finds that the governance of urban spatial growth in China has gone through four main stages, with the multidimensional shifts in governance goals, subject relations, governance methods, and spatial objects behind each stage constituting the basic storyline of governance evolution, influenced by a combination of macro environment, system reforms, spatial issues, and technological changes. In the future, clarifying the governance concepts of urban spatial growth in the new stage, shaping interactive and collaborative subject relations, improving institutional systems and innovative technological tools, and designing differentiated governance strategies based on the characteristics of spatial objects will become important directions for enhancing China's urban spatial governance capacity and even spatial governance modernization.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 590-606"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948068","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}
Pub Date : 2025-06-01Epub Date: 2024-12-12DOI: 10.1016/j.jum.2024.12.002
Aleksandar Valjarević
In this research the specific methodology used to better analyzed rural settlements and they properties. The Geographical Information Systems and Remote Sensing approaches taken to connect rural settlements with the climate change effects in Serbia. For the first time the classification of settlements after approved methodology divided in accordance of new spatial relations within the situation in Serbia. Ten morphometric types of rural settlements were analyzed in terms of social, economic, transport, demographic and climatic factors. The effects of climate change, estimated in this study, will become even more noticeable by 2050. The results showed that the rural settlements (villages) in southern and eastern Serbia are very similar to the villages in central Banat in terms of resolution and low value of mitigation of the effects of climate change. In 2050, 35% of the villages in the south, 30% in the east, and 23% in other regions will be dissipated. The total number of dissipated rural settlements in the period from 2011 to 2050 is 680 or 15% in total. By means of GIS and remote sensing methods, all rural settlements were mapped and presented statistically, along with their characteristics. This method is useful for the analysis of rural settlements with 0–15,000 inhabitants. The shape of the settlements was also analyzed and the zones with the strongest impacts of climate change were marked. The hazardous events are divided into extreme rainfall, wind, drought and maximum temperatures and compared with the types of rural settlements. The climate factors included, together with other parameters such as socio-economic, demographic and urban planning factors, provide a complete overview and a better understanding of the survival of rural settlements in the future. The main contribution of this research is the creation of a new classification of rural settlements, taking into account the effects of climate change and new socio-economic theories. In this way, the old classifications and theories that were established fifty years ago will be improved.
{"title":"GIS and remote sensing methods in predicting the dissipation time of rural settlements under the influence of climate change in the Republic of Serbia","authors":"Aleksandar Valjarević","doi":"10.1016/j.jum.2024.12.002","DOIUrl":"10.1016/j.jum.2024.12.002","url":null,"abstract":"<div><div>In this research the specific methodology used to better analyzed rural settlements and they properties. The Geographical Information Systems and Remote Sensing approaches taken to connect rural settlements with the climate change effects in Serbia. For the first time the classification of settlements after approved methodology divided in accordance of new spatial relations within the situation in Serbia. Ten morphometric types of rural settlements were analyzed in terms of social, economic, transport, demographic and climatic factors. The effects of climate change, estimated in this study, will become even more noticeable by 2050. The results showed that the rural settlements (villages) in southern and eastern Serbia are very similar to the villages in central Banat in terms of resolution and low value of mitigation of the effects of climate change. In 2050, 35% of the villages in the south, 30% in the east, and 23% in other regions will be dissipated. The total number of dissipated rural settlements in the period from 2011 to 2050 is 680 or 15% in total. By means of GIS and remote sensing methods, all rural settlements were mapped and presented statistically, along with their characteristics. This method is useful for the analysis of rural settlements with 0–15,000 inhabitants. The shape of the settlements was also analyzed and the zones with the strongest impacts of climate change were marked. The hazardous events are divided into extreme rainfall, wind, drought and maximum temperatures and compared with the types of rural settlements. The climate factors included, together with other parameters such as socio-economic, demographic and urban planning factors, provide a complete overview and a better understanding of the survival of rural settlements in the future. The main contribution of this research is the creation of a new classification of rural settlements, taking into account the effects of climate change and new socio-economic theories. In this way, the old classifications and theories that were established fifty years ago will be improved.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 500-511"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948057","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}
Pub Date : 2025-06-01Epub Date: 2024-11-30DOI: 10.1016/j.jum.2024.11.008
Yi Ren , Jinniu Zhang , Yuan Tian
The rational allocation of value chain space can effectively promote regional development. In China, various regions have optimized their National Value Chain (NVC) by participating in the Global Value Chain (GVC), forming a structure of Dual-Circulation Value Chain (DCVC) dominated by NVC. This study aims to integrate multiple analytical models to construct an analytical method for studying the DCVC, thereby addressing the existing gaps in the literature in this field. When considering each province in China as the research subject, the following conclusions can be drawn: ①Point analysis results indicate that provinces such as Beijing and Jiangsu excel in connecting domestic and international markets, while resource-rich regions like Tibet and Xinjiang exhibit lower coupling between the NVC and the GVC. Coastal cities such as Shanghai and Guangdong are primarily situated in the mid-to-downstream segments, closely linked to the GVC; in contrast, resource-rich areas like Xinjiang and Shanxi predominantly occupy upstream positions. The effects of value creation and value transfer contribute to the relatively low value rate of return in provinces such as Beijing and Jiangsu. ②Area analysis further reveals that the coupling degree of the dual circulation value chain presents an east-to-west gradient, with domestic circulation as the dominant component, gradually forming a structure centered on the domestic cycle. The division of labour in the value chain is linear: inland areas focus on upstream resource production, central regions emphasize primary processing, and coastal areas are concentrated in downstream manufacturing and trade. Overall, the value chain return decreases from west to east, indicating that despite higher production levels in coastal regions, actual profits remain relatively low.
{"title":"Tracing the dual-circulation value chain: Measurement on the embedding characteristics and evidence from China","authors":"Yi Ren , Jinniu Zhang , Yuan Tian","doi":"10.1016/j.jum.2024.11.008","DOIUrl":"10.1016/j.jum.2024.11.008","url":null,"abstract":"<div><div>The rational allocation of value chain space can effectively promote regional development. In China, various regions have optimized their National Value Chain (NVC) by participating in the Global Value Chain (GVC), forming a structure of Dual-Circulation Value Chain (DCVC) dominated by NVC. This study aims to integrate multiple analytical models to construct an analytical method for studying the DCVC, thereby addressing the existing gaps in the literature in this field. When considering each province in China as the research subject, the following conclusions can be drawn: ①Point analysis results indicate that provinces such as Beijing and Jiangsu excel in connecting domestic and international markets, while resource-rich regions like Tibet and Xinjiang exhibit lower coupling between the NVC and the GVC. Coastal cities such as Shanghai and Guangdong are primarily situated in the mid-to-downstream segments, closely linked to the GVC; in contrast, resource-rich areas like Xinjiang and Shanxi predominantly occupy upstream positions. The effects of value creation and value transfer contribute to the relatively low value rate of return in provinces such as Beijing and Jiangsu. ②Area analysis further reveals that the coupling degree of the dual circulation value chain presents an east-to-west gradient, with domestic circulation as the dominant component, gradually forming a structure centered on the domestic cycle. The division of labour in the value chain is linear: inland areas focus on upstream resource production, central regions emphasize primary processing, and coastal areas are concentrated in downstream manufacturing and trade. Overall, the value chain return decreases from west to east, indicating that despite higher production levels in coastal regions, actual profits remain relatively low.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 418-433"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948285","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}
Pub Date : 2025-06-01Epub Date: 2025-02-21DOI: 10.1016/j.jum.2024.09.004
Ning Chen , Xiaodong Chen , Pengyu Zhu
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.
{"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 , Xiaodong Chen , 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":"2025-06-01","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}
Pub Date : 2025-06-01Epub Date: 2025-03-06DOI: 10.1016/j.jum.2025.02.006
Haruka Kato
In recent years, urban policy-makers have been urged to adopt the development of urban policies for shrinking cities from an urban management perspective. However, urban management in shrinking cities is a difficult problem because it is fiscally restrictive compared with cities with growing populations. This study aims to clarify the types of effective per capita municipal expenditures correlated with population changes in small and medium-sized cities. The research design adopted cross-sectional studies from 2007 to 2022 for all Japanese small and medium-sized cities with populations of less than 200,000. The nonlinear relationship was analyzed via the eXtreme gradient boosting algorithm. As a result, this study revealed 1288 shrinking cities, accounting for 82.56% of all small and medium-sized cities in Japan. For the shrinking cities, this study identified the types of per capita municipal expenditures that correlate with population change: population change was correlated with welfare expenditures. Specifically, the population grew in cities that increased in per capita expenditures on children and decreased in those on welfare recipients and the older population. Our findings suggest that municipal policy-makers should prioritize per capita expenditures on child welfare to sustain the population in small and medium-sized cities.
{"title":"Effective per capita municipal expenditures correlated with population changes in small and medium-sized cities in Japan","authors":"Haruka Kato","doi":"10.1016/j.jum.2025.02.006","DOIUrl":"10.1016/j.jum.2025.02.006","url":null,"abstract":"<div><div>In recent years, urban policy-makers have been urged to adopt the development of urban policies for shrinking cities from an urban management perspective. However, urban management in shrinking cities is a difficult problem because it is fiscally restrictive compared with cities with growing populations. This study aims to clarify the types of effective per capita municipal expenditures correlated with population changes in small and medium-sized cities. The research design adopted cross-sectional studies from 2007 to 2022 for all Japanese small and medium-sized cities with populations of less than 200,000. The nonlinear relationship was analyzed via the eXtreme gradient boosting algorithm. As a result, this study revealed 1288 shrinking cities, accounting for 82.56% of all small and medium-sized cities in Japan. For the shrinking cities, this study identified the types of per capita municipal expenditures that correlate with population change: population change was correlated with welfare expenditures. Specifically, the population grew in cities that increased in per capita expenditures on children and decreased in those on welfare recipients and the older population. Our findings suggest that municipal policy-makers should prioritize per capita expenditures on child welfare to sustain the population in small and medium-sized cities.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 314-324"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948235","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}
Pub Date : 2025-06-01Epub Date: 2024-12-06DOI: 10.1016/j.jum.2024.11.011
Mafrid Haydar, Sakib Hosan, Al Hossain Rafi
This study examines the governing factors and susceptibility zones for urban expansion in Bangladesh's major urban areas, including Dhaka, Barisal, Chittagong, Comilla, Narayanganj, Gazipur, Khulna, Sylhet, Rajshahi, Rangpur, and Mymensingh. The main goals of this research are to determine the impact of governing factors and to identify susceptibility zones for urban expansion in major urban units using a data-driven approach. By using governing factors (DEM, Slope, LST, NDVI, Population, distance to (industry, growth center, settlement, facilities, waterbody, road), and machine learning (Random Forest) and geostatistical approach (Binary Logistic Regression), the research identifies the most important factors influencing urban expansion, including NDVI, LST, waterbodies, roads, and settlements. The RF model's ROC-AOC values showed the highest accuracy (1.00) in Comilla and Mymensingh, moderate accuracy (0.99) in Barisal, Chittagong, Narayanganj, Gazipur, Khulna, and Rajshahi, and lower accuracy in Dhaka (0.98), Sylhet (0.89), and Rangpur (0.85). For the Binary Logistic Regression model, Comilla, Narayanganj, Gazipur, and Mymensingh had the best fit (Nagelkerke R2 = 1.00), while Sylhet had the lowest significance (0.482). Furthermore, Khulna, a major urban unit, is the highest urban expansion susceptibility zone which is 35.72%. Rajshahi and Barisal are the moderate and low urban expansion susceptibility where 83.17% and 0.88% respectively. This unplanned and rapid urban expansion zone has also confronted policymakers and planners with an insurmountable challenge and stressed local governments' ability to manage and use their scarce land-based resources with geospatial data. Thus, this study's machine learning and geostatistical findings will help explain land cover change and urban expansion in Bangladesh's eleven metropolitan areas. This study will improve urban development understanding in Bangladesh. Findings will help planners, stakeholders, and policymakers understand urban expansion patterns, enabling better environmental planning.
{"title":"Assessment of urban expansion susceptibility in major urban units of Bangladesh leveraging machine learning and geostatistical approach","authors":"Mafrid Haydar, Sakib Hosan, Al Hossain Rafi","doi":"10.1016/j.jum.2024.11.011","DOIUrl":"10.1016/j.jum.2024.11.011","url":null,"abstract":"<div><div>This study examines the governing factors and susceptibility zones for urban expansion in Bangladesh's major urban areas, including Dhaka, Barisal, Chittagong, Comilla, Narayanganj, Gazipur, Khulna, Sylhet, Rajshahi, Rangpur, and Mymensingh. The main goals of this research are to determine the impact of governing factors and to identify susceptibility zones for urban expansion in major urban units using a data-driven approach. By using governing factors (DEM, Slope, LST, NDVI, Population, distance to (industry, growth center, settlement, facilities, waterbody, road), and machine learning (Random Forest) and geostatistical approach (Binary Logistic Regression), the research identifies the most important factors influencing urban expansion, including NDVI, LST, waterbodies, roads, and settlements. The RF model's ROC-AOC values showed the highest accuracy (1.00) in Comilla and Mymensingh, moderate accuracy (0.99) in Barisal, Chittagong, Narayanganj, Gazipur, Khulna, and Rajshahi, and lower accuracy in Dhaka (0.98), Sylhet (0.89), and Rangpur (0.85). For the Binary Logistic Regression model, Comilla, Narayanganj, Gazipur, and Mymensingh had the best fit (Nagelkerke R<sup>2</sup> = 1.00), while Sylhet had the lowest significance (0.482). Furthermore, Khulna, a major urban unit, is the highest urban expansion susceptibility zone which is 35.72%. Rajshahi and Barisal are the moderate and low urban expansion susceptibility where 83.17% and 0.88% respectively. This unplanned and rapid urban expansion zone has also confronted policymakers and planners with an insurmountable challenge and stressed local governments' ability to manage and use their scarce land-based resources with geospatial data. Thus, this study's machine learning and geostatistical findings will help explain land cover change and urban expansion in Bangladesh's eleven metropolitan areas. This study will improve urban development understanding in Bangladesh. Findings will help planners, stakeholders, and policymakers understand urban expansion patterns, enabling better environmental planning.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 451-467"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948054","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}
The urban transportation system is vital for efficient daily travel. Understanding how urban road network density and width influence traffic performance is crucial for informed decision-making in urban planning. In this study, we designed three homogeneous square road networks with varying densities and conducted simulation experiments. By controlling for heterogeneity in road network structure and variables such as network size, road area ratio, and traffic input, we ensured effective comparison of simulation results. Using the macroscopic fundamental diagram (MFD) model, we analyzed metrics including MFD scatter dispersion, changes in experimental results with different vehicle arrival patterns, distortion of the MFD image with varying traffic volume, MFD slope variations, and maximum outflow rates. This analysis enables comparison of road network performance under different vehicle arrival rates and traffic input variations, exploring the impact of the "narrow and dense network" strategy on reliability, stability, and efficiency. In addition, the results of our proposed scatter fitting method are similar to previous clustering-then-fitting methods and compensate for the challenges in critical point estimation. Results indicate that, while maintaining a constant road area ratio, higher density improves network reliability but may initially decrease stability, while efficiency varies with traffic conditions and examination angles. These findings elucidate the interplay between road network density, width, traffic state, and macroscopic performance, providing a basis for rational urban road network construction.
{"title":"The joint impact of road density and width on road network performances —a simulation approach based on macroscopic fundamental diagram","authors":"Yingying Ma, Wenyi Xie, Xiaoran Qin, Zebang Liang, Ziyan Guan","doi":"10.1016/j.jum.2025.01.002","DOIUrl":"10.1016/j.jum.2025.01.002","url":null,"abstract":"<div><div>The urban transportation system is vital for efficient daily travel. Understanding how urban road network density and width influence traffic performance is crucial for informed decision-making in urban planning. In this study, we designed three homogeneous square road networks with varying densities and conducted simulation experiments. By controlling for heterogeneity in road network structure and variables such as network size, road area ratio, and traffic input, we ensured effective comparison of simulation results. Using the macroscopic fundamental diagram (MFD) model, we analyzed metrics including MFD scatter dispersion, changes in experimental results with different vehicle arrival patterns, distortion of the MFD image with varying traffic volume, MFD slope variations, and maximum outflow rates. This analysis enables comparison of road network performance under different vehicle arrival rates and traffic input variations, exploring the impact of the \"narrow and dense network\" strategy on reliability, stability, and efficiency. In addition, the results of our proposed scatter fitting method are similar to previous clustering-then-fitting methods and compensate for the challenges in critical point estimation. Results indicate that, while maintaining a constant road area ratio, higher density improves network reliability but may initially decrease stability, while efficiency varies with traffic conditions and examination angles. These findings elucidate the interplay between road network density, width, traffic state, and macroscopic performance, providing a basis for rational urban road network construction.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 543-561"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948065","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}
Pub Date : 2025-06-01Epub Date: 2025-02-05DOI: 10.1016/j.jum.2025.01.004
Ehsan Dorostkar
Citizens' activities on social media reflect their movements, which lends itself to capturing human mobility and can take explanatory sequential research in this area a big step forward. This research investigates the triangular pattern that emerges from the 3 phase sides of the human mobility study area. The main problem is that the pattern of human mobility in the world's cities is not properly recognized. To answer the question “What is the pattern of human mobility in the city of Tehran based on the triangular model?”, human mobility is divided into 4 categories: Job, Education, Shopping, and Leisure, which are the most demanded in the city. Therefore, the sides of the triangular human mobility pattern are presented in 3 socio-spatial, socio-temporal, and temporal-spatial sections. With the identification of human mobility in the above 4 categories, from case to case and as a simple experiment that can be conducted in the cities around the world the above 4 categories were separated and identified as triangles of human mobility in urban space. In this analysis, it was found that the relationships between shopping, education, and leisure are close and interrelated, and the activities of job, education, and shopping are also interrelated.
{"title":"Discovering the urban pattern through human mobility and virtual space","authors":"Ehsan Dorostkar","doi":"10.1016/j.jum.2025.01.004","DOIUrl":"10.1016/j.jum.2025.01.004","url":null,"abstract":"<div><div>Citizens' activities on social media reflect their movements, which lends itself to capturing human mobility and can take explanatory sequential research in this area a big step forward. This research investigates the triangular pattern that emerges from the 3 phase sides of the human mobility study area. The main problem is that the pattern of human mobility in the world's cities is not properly recognized. To answer the question “What is the pattern of human mobility in the city of Tehran based on the triangular model?”, human mobility is divided into 4 categories: Job, Education, Shopping, and Leisure, which are the most demanded in the city. Therefore, the sides of the triangular human mobility pattern are presented in 3 socio-spatial, socio-temporal, and temporal-spatial sections. With the identification of human mobility in the above 4 categories, from case to case and as a simple experiment that can be conducted in the cities around the world the above 4 categories were separated and identified as triangles of human mobility in urban space. In this analysis, it was found that the relationships between shopping, education, and leisure are close and interrelated, and the activities of job, education, and shopping are also interrelated.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 2","pages":"Pages 607-614"},"PeriodicalIF":3.9,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948069","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}
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