{"title":"Comparing the social-economic externalities from perspective of private and public industrial parks: Case study of Eastern Industrial Park and Bole Lemi Industrial Park, Ethiopia","authors":"Han Gao, Xingping Wang","doi":"10.1016/j.jum.2025.03.008","DOIUrl":"10.1016/j.jum.2025.03.008","url":null,"abstract":"<div><div>This study examines the socio-economic externalities of two representative industrial parks(IPs) in Ethiopia: the privately-owned Eastern Industrial Park (EIP) and the state-owned Bole Lemi Industrial Park (BLI),especially on their distinct social and economic impacts. This study adopts a qualitative research method based on the results of semi-structured interviews with 17 key informants, including park managers and entrepreneurs, officials from government departments related to IPs, and data from relevant government work reports, KIs, and internet sources. Both IPs have significantly contributed to urbanization, spurred the growth of local economic sectors, facilitated labor shifts from agriculture to non-agricultural activities, and attracted regional labor migration. However, they have also exacerbated land speculation, displacement, and unequal economic relations with local communities. EIP outperforms BLI in fostering forward linkages, investing in infrastructure, and engaging with local governance, partially validating Ethiopia's place-based industrial park strategy. Nonetheless, weaknesses in stakeholder collaboration and integration with urban planning have amplified negative externalities. While EIP employs informal negotiation mechanisms to address institutional gaps, this flexible approach remains an imperfect substitute for formal governance structures. The study highlights the need for enhanced mechanisms to strengthen stakeholder collaboration, align IPs with urban development strategies, and mitigate socio-economic inequalities arising from their operations. These findings provide critical insights for improving Ethiopia's industrial park model and offer lessons for similar initiatives in developing economies.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 4","pages":"Pages 1071-1083"},"PeriodicalIF":5.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145580537","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":"Incorporating visual attention measures to reveal homeowners’ preferences for environmentally friendly urban landscapes","authors":"Xumin Zhang , Hayk Khachatryan","doi":"10.1016/j.jum.2025.03.007","DOIUrl":"10.1016/j.jum.2025.03.007","url":null,"abstract":"<div><div>Sustainable urban planning practices can help reduce the urban heat island effect, promote green roofs and walls, and encourage the preservation of natural habitats within urban areas. Cities can enhance their resilience to climate change and create healthier, more attractive living spaces for their inhabitants. Resource-efficient or environmentally friendly urban landscapes can support local ecosystems and biodiversity and require fewer external inputs, such as irrigation water and nutrients. To mitigate the increase in population and water demand in urbanizing areas, the options include voluntary landscape water conservation programs, sensor-based irrigation technology, regulations, and low-input landscape plant breeding programs. An in-depth understanding of homeowners' preferences for environmentally friendly landscapes is essential for understanding the potential impact of landscape conservation initiatives and policies on homeowners' adoption intentions. This study employs data from laboratory choice experiments to investigate Floridian homeowners’ preferences for eco-friendly residential landscapes, using an innovative visually inferred attribute non-attendance (ANA) method to better understand their choice decisions. The findings suggest that homeowners can be classified into distinct groups based on their prioritization of various landscape attributes. Designs featuring 100 % non-turfgrass ornamental plant coverage were less favored compared to those with a traditional mix of 25 % plants and 75 % turfgrass designs. Furthermore, financial factors such as cost and rebate incentives could motivate homeowners to focus on cost-related attributes to transition from conventional turfgrass landscaping to environmentally friendly alternatives.</div><div>The findings of this study have a two-fold implication. For sustainable urban planning, particularly in the context of energy-efficient urban design, by understanding homeowners' preferences for environmentally friendly landscapes, policymakers and urban planners can develop data-driven strategies to promote green infrastructure and mitigate the urban heat island effect. Machine learning and data-based methods, such as the visually inferred attribute non-attendance (ANA) approach employed in this study, can help identify key factors influencing homeowners' adoption of eco-friendly landscapes. This information can be integrated into urban planning models to optimize the design of green spaces, reduce water consumption, and enhance the resilience of urban ecosystems to climate change. The study's results can inform the development of targeted incentives and policies to encourage the adoption of environmentally friendly landscapes, ultimately contributing to creating more sustainable and livable cities.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 4","pages":"Pages 1022-1033"},"PeriodicalIF":5.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145580439","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}
Mega Ulimaz , Muhammad Ma'arij Harfadli , Bart Julien Dewancker
{"title":"From gateway to strengthening urban identity: Discovering satellite city brand vitality of Indonesia's new capital city","authors":"Mega Ulimaz , Muhammad Ma'arij Harfadli , Bart Julien Dewancker","doi":"10.1016/j.jum.2025.05.007","DOIUrl":"10.1016/j.jum.2025.05.007","url":null,"abstract":"<div><div>This study aims to evaluate the city brand vitality of a rising satellite city to strengthen its identity as a competitive independent city while supporting the new capital city. This study examines the spatial distribution of city brand vitality in Balikpapan in relation to establishment of Indonesia's Nusantara Capital City. The city brand represents the city's pre-satellite condition, while vitality reflects urban dynamism and quality of life. This research applies spatial autocorrelation to detect clustering patterns of vitality, GIS processing for spatial visualization, and Python-based computational methods to quantify city brand vitality across the 5P dimensions (place, people, presence, prosperity, and pulse) using multiple urban big data sources. Findings indicate that suburban areas exhibit moderate city brand vitality, while central districts demonstrate higher vitality, reflecting a shift towards balanced urban development. The higher nighttime light (NTL) intensity in older built-up areas and the concentration of points of interest (POIs) in economic hubs highlight long-term vitality sustainability. These findings suggest that the satellite city is fostering an independent identity by promoting inclusive development beyond a single urban center. This study contributes to spatial vitality assessment methodologies, offers a comprehensive city brand vitality analysis, and demonstrates the potential of computational urban studies for dynamic urban system evaluation. This study acknowledges limitations in data resolution disparities and social media user, which may influence spatial pattern interpretation. Future research could integrate high-frequency mobility data or sentiment analysis to refine the assessment of city brand vitality.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 4","pages":"Pages 1291-1310"},"PeriodicalIF":5.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145580428","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}
Jia-Cherng Song, I-Yun Lisa Hsieh, Chuin-Shan Chen
{"title":"Real-time unmet demand-driven relocation policy to improve service capacity of shared E-mopeds","authors":"Jia-Cherng Song, I-Yun Lisa Hsieh, Chuin-Shan Chen","doi":"10.1016/j.jum.2025.04.001","DOIUrl":"10.1016/j.jum.2025.04.001","url":null,"abstract":"<div><div>The growing popularity of shared electric moped scooters (E-mopeds) as a sustainable and convenient transport option faces a fundamental challenge: demand often exceeds supply, necessitating efficient real-time relocation strategies. To address this, we propose an unmet demand-driven relocation policy to improve service efficiency and E-moped utilization. This policy leverages recurrent and diffusion convolutional graph neural networks alongside linear programming. Regional E-moped relocation is suggested to be triggered when its demand falls below a threshold parameter. We demonstrate that the unmet demand strategy consistently outperforms the traditional pick-up method. At a threshold of 3, the unmet demand approach results in 286 relocated E-mopeds compared to 100 using the pick-up strategy, emphasizing the importance of our study. These findings assist operators in implementing more efficient strategies and inform policymakers in refining the maximum fleet sizes and parking space allocation.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 4","pages":"Pages 1340-1355"},"PeriodicalIF":5.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145580453","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":"Analysis and evaluation of urban roaming paths based on users' perspective--the case of Beijing","authors":"Yujie Chen","doi":"10.1016/j.jum.2025.03.002","DOIUrl":"10.1016/j.jum.2025.03.002","url":null,"abstract":"<div><div>With the booming development of tourism and the public's pursuit of personalized and in-depth experiences, urban wanderlust has been widely welcomed as an emerging form of tourism. Urban roaming paths are crucial for shaping city image and enhancing tourists' experiences. This study constructs an evaluation system for the design elements of urban roaming paths from the user's perspective and identifies the key elements by applying the IPA-Kano model for analysis. The results of the study show that the seat setup, degree of shading, and Internet-famous site setting are the most prioritized elements to be considered in the design. In addition, guided signage system, restroom, bicycle parking, the type of commercial business, and selectivity of the route are also important design elements. The conclusions of this study not only provide empirical data and a scientific basis for city managers and designers but also provide a lesson and reference for the optimization and updating of urban roaming paths, which can help to enhance the attractiveness and competitiveness of urban tourism.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 4","pages":"Pages 976-989"},"PeriodicalIF":5.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145580541","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}
Muhammad Salem , Joe Ravetz , Somi Sareen , Ting Dong , Mazharul Haque , Walid Bayoumi , Naoki Tsurusaki , Gang Xu
{"title":"Managing the urban-rural transition: A review of approaches and policies for peri-urban land use","authors":"Muhammad Salem , Joe Ravetz , Somi Sareen , Ting Dong , Mazharul Haque , Walid Bayoumi , Naoki Tsurusaki , Gang Xu","doi":"10.1016/j.jum.2025.04.006","DOIUrl":"10.1016/j.jum.2025.04.006","url":null,"abstract":"<div><div>Peri-urban areas (PUAs) represent dynamic transition zones where urban expansion, rural livelihoods, and environmental sustainability intersect, posing complex land use management challenges. While effective land use management in these regions is vital for fostering sustainable urban growth, it remains one of the most difficult tasks for planners and policymakers. This systematic review synthesizes findings from 137 studies published over the past 25 years, employing bibliometric analysis, systematic review methodologies, and qualitative content analysis to trace the evolution of land use approaches and policies, assess policy effectiveness, and identify future research directions. The review reveals a clear shift from rigid, top-down planning models toward more adaptive, resilience-oriented approaches. However, significant challenges persist, including fragmented governance, tenure insecurity, and exclusionary planning practices, which have contributed to informal expansion, land speculation, and the marginalization of vulnerable groups—particularly informal settlers and smallholders. A persistent gap between policy formulation and implementation is also identified, driven by inflexible regulatory frameworks, weak institutional coordination, and limited environmental and equity considerations. To address these challenges, future land use approaches must embrace multi-scalar governance, inclusive and participatory planning, and the integration of emerging technologies such as geospatial analytics and artificial intelligence (AI) for improved monitoring and decision-making. Expanding interdisciplinary collaboration and incorporating diverse regional perspectives are essential to advancing more equitable, context-sensitive, and sustainable land use governance in PUAs. This review offers both theoretical insights and actionable recommendations for managing the growing complexity of urban–rural transitions.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 4","pages":"Pages 1115-1129"},"PeriodicalIF":5.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145580429","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":"Dynamic isochrones development and analysis for the time-effective performances evaluation of road networks","authors":"Yingying Ma , Minglang Xu , Xiaoran Qin , Ying Zeng","doi":"10.1016/j.jum.2025.05.001","DOIUrl":"10.1016/j.jum.2025.05.001","url":null,"abstract":"<div><div>Measuring and Assessing the time-effective performances of complex road networks are fundamental works for urban transportation planning and management. To provide a profound and complete understanding of such performances, developing methods with high spatial visualization abilities becomes a significant research topic. Empowered by the evolution of online map services, isochrones are expected to be an effective way to depict the real-time dynamic changes of time-effective performances in an intuitive and accurate manner, as their shapes and associated indicators change with the attributes of road networks. This paper aims to explore the effectiveness of isochrones and tailed indicators in capturing the time-effective performances of monocentric road networks. Firstly, we define two categories of isochrone-related indicators (i.e., time-effective intensity indicators and time-effective equilibrium indicators) and propose a batch-processing framework to generate monocentric isochrones with multiple indicator values of their own characteristics and net-work-related attributes. These preliminary works allow us to examine the temporal distribution of isochrone characteristic indicators and intrinsic connections between these indicators and network attributes under different conditions via case studies in Guangzhou and Foshan, China. Through experiments, we found that the time-effective intensity indicator correlates significantly with road network attributes, whereas the applicability of time-effective equilibrium indicators varies for different road networks. This study confirms the capability of the proposed indicators for describing the variation of time-effective performances of the road network, and thus provides theoretical support for the implementation of isochrones and corresponding indicators in urban transportation planning and measurement.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 4","pages":"Pages 1311-1327"},"PeriodicalIF":5.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145580433","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":"Identification and planning response to inefficient urban and rural construction land use under the concept of relative performance","authors":"Yao Cheng , Zhicheng Zhuang , Qi Wu","doi":"10.1016/j.jum.2025.05.003","DOIUrl":"10.1016/j.jum.2025.05.003","url":null,"abstract":"<div><div>Urbanization in China has historically relied on extensive land development, leading to inefficient use of construction land and exacerbating conflicts between urban growth and environmental protection. This study focuses on identifying and addressing inefficient urban and rural construction land use under the concept of relative performance, using Shanghai as a case study. By integrating traditional socio-economic data with multi-source datasets such as mobile signaling and Points of Interest (POI), a comprehensive multi-dimensional evaluation system is constructed to assess land use efficiency. The study employs Principal Component Analysis (PCA) to reduce data dimensions and evaluate land use efficiency across micro-scale grids. Results demonstrate significant spatial heterogeneity in land use efficiency, necessitating region-specific redevelopment strategies. The introduction of relative performance as an analytical concept enhances the precision of inefficient land identification, providing valuable reference for optimizing urban land redevelopment policies in Shanghai. This research offers guidance to policymakers and urban planners seeking to enhance land use efficiency and sustainably manage urban growth.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 4","pages":"Pages 1218-1230"},"PeriodicalIF":5.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145580443","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}
Anne A. Gharaibeh , Mohammad S. Al-Rabee’ , Rasha Obeidat
{"title":"Integrating artificial neural networks and neighborhood analysis for enhanced urban growth prediction depending on planned future development areas: A case study of Ar-Ramtha, Jordan","authors":"Anne A. Gharaibeh , Mohammad S. Al-Rabee’ , Rasha Obeidat","doi":"10.1016/j.jum.2025.04.010","DOIUrl":"10.1016/j.jum.2025.04.010","url":null,"abstract":"<div><div>Artificial intelligence (AI) is revolutionizing urban planning by enhancing the simulation of urban growth and land-use changes. Most AI models often fail to predict how proposed development areas will shape future expansion, leading to misaligned planning and urban sprawl. This study addresses these gaps by integrating master plans and spatial policies into an AI-driven urban growth model for Ar-Ramtha. A hybrid model combining artificial neural networks (ANN) and neighborhood analysis was developed to assess the influence of proposed development areas. Historical data (1990–2005) was used for training and validation, while 2005–2020 data was used for testing. Under-sampling techniques addressed data imbalance, and the PLADJ matrix measured urban growth patterns. Results indicate that incorporating neighborhood analysis and development areas improves model accuracy, achieving a validation accuracy of 92.9 %, an F1-micro of 91.0 %, and a Kappa of 82.1 %. Testing performance remained strong, with an F1-micro of 84.0 % and an accuracy of 91.2 %. Simulations suggest Ar-Ramtha is becoming more compact, with PLADJ values rising from 80.67 % in 2020 to 92.7 % by 2035. However, potential sprawl risks remain due to increased road paving and rising land prices. The study recommends defining development areas based on AI model predictions beyond current planning boundaries and adopting a ring road strategy to promote compact urban growth. These findings contribute to bridging gaps in AI-based urban modeling by improving the integration of planning policies, offering a robust tool for sustainable urban development.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 4","pages":"Pages 1179-1201"},"PeriodicalIF":5.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145580452","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":"Identifying functional agglomerations and urban centers using open-source data and machine learning: Framework, applications and planning implications","authors":"Pengyu Zhu , Jianqi Li , Zining Wang","doi":"10.1016/j.jum.2025.04.004","DOIUrl":"10.1016/j.jum.2025.04.004","url":null,"abstract":"<div><div>Metropolitan polycentricity is a topic that has been extensively studied. Traditional approaches to identifying urban centers have relied on high-resolution survey data, which is limited in many regions. More recent studies utilizing open-access point of interest (POI) data have primarily focused on POI density, often overlooking functional diversity and interactions. This paper introduces a theoretical framework for identifying distinct urban functional agglomerations and centers using open-source POI data. Considering both density and the combination of urban functions, it advances beyond previous density-centered methodologies by revealing multifunction features. Applying k-means clustering to Guangzhou, this study identifies 63 agglomerations and 11 centers, consistent with the city's Urban Development Plan (2018–2035). The results reveal the multifunctional nature of concentrations across multiple scales. The findings offer policy insights for improving land use, facility investment, and transportation planning. The proposed analytical framework can be readily applied to cities or countries with available open-source POI data.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 4","pages":"Pages 1099-1114"},"PeriodicalIF":5.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145580539","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}