Pub Date : 2025-11-05DOI: 10.1016/j.jum.2025.10.007
Yuzhe Wu
{"title":"Seven pairs of keywords in urban management","authors":"Yuzhe Wu","doi":"10.1016/j.jum.2025.10.007","DOIUrl":"10.1016/j.jum.2025.10.007","url":null,"abstract":"","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 4","pages":"Pages 953-955"},"PeriodicalIF":5.0,"publicationDate":"2025-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145580534","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 : 2025-08-05DOI: 10.1016/j.jum.2025.07.007
Chen Gao , Xiaoyi Zu , Yu Liu , Izzy Yi Jian , Peter Hasdell , Huinan Zhang
This paper argues that, in addition to policy interventions of the government on housing design paradigms, the optimization adjustments of non-policy entities, especially residents and real estate developers, continuously influence the spatial characteristics of the communities. Through regression modeling and comparative visualization, this study analyzed 4039 Beijing communities to decode spatiotemporal patterns across three policy phases (1950–2022). Beijing communities were re-examined from a process perspective through multi-scale elements–community morphology, urban network integration, and living condition elements–to explore the comprehensive driving force of their evolution. The results indicated that the self-organization of optimization adjustments tends to adjust the abrupt spatial changes caused by the alternation of housing policies to meet the development expectations of non-policy entities at the corresponding policy stages, which can be summarized as a dynamic mutual adaptation between policy interventions and optimization adjustments. The findings also underscore the need for housing policies to incorporate flexibility and sensitivity to self-organization trends, fostering more balanced and habitable community spatial outcomes.
{"title":"A dynamic mutual adaptation between the policy interventions and optimization adjustments: Re-examine the development history of Beijing communities from a process perspective","authors":"Chen Gao , Xiaoyi Zu , Yu Liu , Izzy Yi Jian , Peter Hasdell , Huinan Zhang","doi":"10.1016/j.jum.2025.07.007","DOIUrl":"10.1016/j.jum.2025.07.007","url":null,"abstract":"<div><div>This paper argues that, in addition to policy interventions of the government on housing design paradigms, the optimization adjustments of non-policy entities, especially residents and real estate developers, continuously influence the spatial characteristics of the communities. Through regression modeling and comparative visualization, this study analyzed 4039 Beijing communities to decode spatiotemporal patterns across three policy phases (1950–2022). Beijing communities were re-examined from a process perspective through multi-scale elements–community morphology, urban network integration, and living condition elements–to explore the comprehensive driving force of their evolution. The results indicated that the self-organization of optimization adjustments tends to adjust the abrupt spatial changes caused by the alternation of housing policies to meet the development expectations of non-policy entities at the corresponding policy stages, which can be summarized as a dynamic mutual adaptation between policy interventions and optimization adjustments. The findings also underscore the need for housing policies to incorporate flexibility and sensitivity to self-organization trends, fostering more balanced and habitable community spatial outcomes.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 4","pages":"Pages 959-975"},"PeriodicalIF":5.0,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145580540","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 : 2025-06-06DOI: 10.1016/j.jum.2025.05.006
Cheng Wang , Jingyuan Chen , Qinpei Wang , Dan Li , Meng Zhu , Zhiqiang Gan , Yunbin Zhang
As a major source of carbon emissions, cities bear a critical responsibility in mitigating global climate change. In the face of the crucial challenge of balancing economic development with carbon reduction, investigating the influence and mechanisms of urban population agglomeration on the carbon emission efficiency holds paramount importance in guiding the coordinated development of urban economies and carbon reduction efforts. Drawing upon the context of the Yangtze River Delta region in China, in this paper, we propose a theoretical framework and research hypotheses, and then, by employing spatial econometric models, we investigate the impact of population agglomeration on the carbon emission efficiency, as well as the intervening and moderating mechanisms that are in operation. The research findings reveal that (1) although population agglomeration contributes to a reduction in carbon emissions, it concurrently suppresses the carbon emission efficiency; that is, each 100 % increase in population agglomeration significantly decreases the carbon emission efficiency by 72.2 %. (2) Urban population agglomeration increases transportation carbon emissions (β = 420.5335∗) and suppresses the proportion of the tertiary industry output value in the total output value (β = −23.9671∗∗∗). Through the negative impact of the transportation carbon emissions on the carbon emission efficiency (β = −0.0002∗∗) and the positive effect of the proportion of the tertiary industry output value in the total output value on the carbon emission efficiency (β = 0.0177∗∗∗), population agglomeration ultimately leads to a decrease in and an increase in the urban carbon emission efficiency, respectively. (3) The urban gross domestic product significantly amplifies the inhibitory effect of population agglomeration on the carbon emission efficiency, with the interaction term coefficient reaching 0.9029∗∗ (p < 0.05). This indicates that for every 100 % increase in the urban gross domestic product, the negative effect of population agglomeration on the carbon emission efficiency increases by 90.29 %.
{"title":"Investigation of the influence and mechanism of urban population agglomeration on carbon emission efficiency","authors":"Cheng Wang , Jingyuan Chen , Qinpei Wang , Dan Li , Meng Zhu , Zhiqiang Gan , Yunbin Zhang","doi":"10.1016/j.jum.2025.05.006","DOIUrl":"10.1016/j.jum.2025.05.006","url":null,"abstract":"<div><div>As a major source of carbon emissions, cities bear a critical responsibility in mitigating global climate change. In the face of the crucial challenge of balancing economic development with carbon reduction, investigating the influence and mechanisms of urban population agglomeration on the carbon emission efficiency holds paramount importance in guiding the coordinated development of urban economies and carbon reduction efforts. Drawing upon the context of the Yangtze River Delta region in China, in this paper, we propose a theoretical framework and research hypotheses, and then, by employing spatial econometric models, we investigate the impact of population agglomeration on the carbon emission efficiency, as well as the intervening and moderating mechanisms that are in operation. The research findings reveal that (1) although population agglomeration contributes to a reduction in carbon emissions, it concurrently suppresses the carbon emission efficiency; that is, each 100 % increase in population agglomeration significantly decreases the carbon emission efficiency by 72.2 %. (2) Urban population agglomeration increases transportation carbon emissions (β = 420.5335∗) and suppresses the proportion of the tertiary industry output value in the total output value (β = −23.9671∗∗∗). Through the negative impact of the transportation carbon emissions on the carbon emission efficiency (β = −0.0002∗∗) and the positive effect of the proportion of the tertiary industry output value in the total output value on the carbon emission efficiency (β = 0.0177∗∗∗), population agglomeration ultimately leads to a decrease in and an increase in the urban carbon emission efficiency, respectively. (3) The urban gross domestic product significantly amplifies the inhibitory effect of population agglomeration on the carbon emission efficiency, with the interaction term coefficient reaching 0.9029∗∗ (p < 0.05). This indicates that for every 100 % increase in the urban gross domestic product, the negative effect of population agglomeration on the carbon emission efficiency increases by 90.29 %.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 4","pages":"Pages 1269-1290"},"PeriodicalIF":5.0,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145580538","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 : 2025-06-02DOI: 10.1016/j.jum.2025.05.007
Mega Ulimaz , Muhammad Ma'arij Harfadli , Bart Julien Dewancker
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.
{"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":"2025-06-02","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}
Pub Date : 2025-06-02DOI: 10.1016/j.jum.2025.05.010
Hassan Radoine, Kh Md Nahiduzzaman
{"title":"Integrated territorial planning and digital innovation for climate-resilient urbanization in developing countries","authors":"Hassan Radoine, Kh Md Nahiduzzaman","doi":"10.1016/j.jum.2025.05.010","DOIUrl":"10.1016/j.jum.2025.05.010","url":null,"abstract":"","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 3","pages":"Pages 622-626"},"PeriodicalIF":5.0,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144892841","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 : 2025-05-29DOI: 10.1016/j.jum.2025.05.004
Lixu Liu , Falli Palaiologou , Robert Schmidt-III
Green infrastructure (GI) is increasingly recognised as a vital component of sustainable urban development, offering ecosystem services such as climate regulation, biodiversity enhancement, and spatial connectivity. Despite its potential, the spatial and functional integration of GI with urban morphology remains underexplored. This study introduces the Green Infrastructure Morphology (GIM) framework, a conceptual tool that bridges GI perspectives—structure, function, spatial scale, and planning intention—with urban morphology dimensions—urban elements, orders, agents, and processes. Using a mixed-methods approach, the study combines bibliometric analysis of 210 articles and qualitative thematic analysis to identify research trends and theoretical intersections. Key findings reveal recurring themes, including urban cooling, resilience, and green-blue networks, mapped within the GIM framework to guide sustainable urban design. While the framework is conceptual, it provides a reflective tool for urban planners and policymakers to evaluate GI integration across scales and contexts. Future research should focus on empirical validation and case studies to expand its practical applications in fostering resilient urban environments.
{"title":"Green Infrastructure morphology: Integrating urban morphological perspectives for sustainable urban development","authors":"Lixu Liu , Falli Palaiologou , Robert Schmidt-III","doi":"10.1016/j.jum.2025.05.004","DOIUrl":"10.1016/j.jum.2025.05.004","url":null,"abstract":"<div><div>Green infrastructure (GI) is increasingly recognised as a vital component of sustainable urban development, offering ecosystem services such as climate regulation, biodiversity enhancement, and spatial connectivity. Despite its potential, the spatial and functional integration of GI with urban morphology remains underexplored. This study introduces the Green Infrastructure Morphology (GIM) framework, a conceptual tool that bridges GI perspectives—structure, function, spatial scale, and planning intention—with urban morphology dimensions—urban elements, orders, agents, and processes. Using a mixed-methods approach, the study combines bibliometric analysis of 210 articles and qualitative thematic analysis to identify research trends and theoretical intersections. Key findings reveal recurring themes, including urban cooling, resilience, and green-blue networks, mapped within the GIM framework to guide sustainable urban design. While the framework is conceptual, it provides a reflective tool for urban planners and policymakers to evaluate GI integration across scales and contexts. Future research should focus on empirical validation and case studies to expand its practical applications in fostering resilient urban environments.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 4","pages":"Pages 1231-1252"},"PeriodicalIF":5.0,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145580533","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 : 2025-05-29DOI: 10.1016/j.jum.2025.05.005
Henry Egi Aloh , Ngozi Asadu , Martha Uchenna Ogbuke , Kelechi Chinemerem Mezieobi , Christian Iheanacho Agboti , Peter Chinedu Agu , Daniel Ejim Uti , Esther Ugo Alum
The COVID-19 pandemic of 2019 has demonstrated the significant role that urban planning and design play in preventing epidemics and making cities more resilient. Inappropriate urbanization is frequently associated with negative consequences like low sector productivity, urban poverty, scarcity of employment opportunities, and limited ability to develop urban agendas. Additionally, it harbors a city's ineptitude in disease containment and spread. This article examines the significance of urban design in building resilient cities during pandemics, using COVID-19 as a key case study. Citing the facts from well-established published data in respectable databases, the article reports on the connection between pandemic resistance and urban design, paying close attention to infrastructure, green spaces, and healthcare accessibility. The study highlights the diverse responses of top-hit developing countries to the COVID-19 pandemic, emphasizing key lessons. Uganda implemented strict lockdowns, effective quarantine, and community surveillance but faced challenges in digital education and water access. Kenya utilized mobile-based contact tracing and enhanced health infrastructure, though informal sector resistance posed issues. Nigeria capitalized on its disease surveillance system and community engagement but struggled with misinformation and personal protective equipment (PPE) shortages. South Africa adopted phased lockdowns and provided social relief, yet economic inequality deepened. Ethiopia prioritized awareness campaigns, while Tanzania's relaxed stance hindered timely action. Despite differing outcomes, a common thread across countries was the need for stronger healthcare systems, improved digital infrastructure, and better preparedness for future pandemics. The study underscores the importance of regional coordination, local vaccine production, socioeconomic safety nets, and evidence-based governance to mitigate the impact of future global health crises in developing nations. Drawing from Uganda's experience, the study identifies critical lessons for strengthening health systems, enhancing risk communication, and fostering local ownership in future pandemics. These insights are applicable to similar low- and middle-income country settings striving for pandemic preparedness and resilience.
{"title":"Lesson from COVID-19: Rethinking urban planning for future health emergencies-Uganda in focus","authors":"Henry Egi Aloh , Ngozi Asadu , Martha Uchenna Ogbuke , Kelechi Chinemerem Mezieobi , Christian Iheanacho Agboti , Peter Chinedu Agu , Daniel Ejim Uti , Esther Ugo Alum","doi":"10.1016/j.jum.2025.05.005","DOIUrl":"10.1016/j.jum.2025.05.005","url":null,"abstract":"<div><div>The COVID-19 pandemic of 2019 has demonstrated the significant role that urban planning and design play in preventing epidemics and making cities more resilient. Inappropriate urbanization is frequently associated with negative consequences like low sector productivity, urban poverty, scarcity of employment opportunities, and limited ability to develop urban agendas. Additionally, it harbors a city's ineptitude in disease containment and spread. This article examines the significance of urban design in building resilient cities during pandemics, using COVID-19 as a key case study. Citing the facts from well-established published data in respectable databases, the article reports on the connection between pandemic resistance and urban design, paying close attention to infrastructure, green spaces, and healthcare accessibility. The study highlights the diverse responses of top-hit developing countries to the COVID-19 pandemic, emphasizing key lessons. Uganda implemented strict lockdowns, effective quarantine, and community surveillance but faced challenges in digital education and water access. Kenya utilized mobile-based contact tracing and enhanced health infrastructure, though informal sector resistance posed issues. Nigeria capitalized on its disease surveillance system and community engagement but struggled with misinformation and personal protective equipment (PPE) shortages. South Africa adopted phased lockdowns and provided social relief, yet economic inequality deepened. Ethiopia prioritized awareness campaigns, while Tanzania's relaxed stance hindered timely action. Despite differing outcomes, a common thread across countries was the need for stronger healthcare systems, improved digital infrastructure, and better preparedness for future pandemics. The study underscores the importance of regional coordination, local vaccine production, socioeconomic safety nets, and evidence-based governance to mitigate the impact of future global health crises in developing nations. Drawing from Uganda's experience, the study identifies critical lessons for strengthening health systems, enhancing risk communication, and fostering local ownership in future pandemics. These insights are applicable to similar low- and middle-income country settings striving for pandemic preparedness and resilience.</div></div>","PeriodicalId":45131,"journal":{"name":"Journal of Urban Management","volume":"14 4","pages":"Pages 1253-1268"},"PeriodicalIF":5.0,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145580544","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 : 2025-05-21DOI: 10.1016/j.jum.2025.05.003
Yao Cheng , Zhicheng Zhuang , Qi Wu
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.
{"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":"2025-05-21","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}
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