Pub Date : 2024-01-09DOI: 10.1007/s43762-023-00114-w
Banshao Hu, Weixin Zhai, Dong Li, Junqing Tang
{"title":"Application note: evaluation of the Gini coefficient at the county level in mainland China based on Luojia 1-01 nighttime light images","authors":"Banshao Hu, Weixin Zhai, Dong Li, Junqing Tang","doi":"10.1007/s43762-023-00114-w","DOIUrl":"https://doi.org/10.1007/s43762-023-00114-w","url":null,"abstract":"","PeriodicalId":72667,"journal":{"name":"Computational urban science","volume":"47 51","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139442511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01Epub Date: 2024-11-06DOI: 10.1007/s43762-024-00144-y
Shih-Lung Shaw, Xinyue Ye, Michael Goodchild, Dan Sui
The Symposium on Human Dynamics Research, first organized at the 2015 AAG Meeting in Chicago, celebrated its 10th anniversary at the 2024 AAG Meeting in Honolulu, marking a decade of transformative advancements in the field. Over the past decade, the focus of human dynamics research has shifted from traditional spatial-temporal analyses to sophisticated modeling of human behavior in a hybrid physical-virtual world. This evolving field now examines the intricate interdependencies between physical and digital environments, addressing critical issues such as urban resilience, public health, social equity, and community sustainability. The symposium emphasized the growing importance of interdisciplinary collaboration, advanced data-driven analytical platforms, and innovative theoretical frameworks to better understand human interactions across these spaces. As human dynamics continue to shape global urban systems, these advancements are pivotal for future research and real-world problem-solving, offering novel insights into the interconnectedness of mobility, technology, and societal well-being in a rapidly changing world.
{"title":"Human Dynamics Research in GIScience: challenges and opportunities.","authors":"Shih-Lung Shaw, Xinyue Ye, Michael Goodchild, Dan Sui","doi":"10.1007/s43762-024-00144-y","DOIUrl":"https://doi.org/10.1007/s43762-024-00144-y","url":null,"abstract":"<p><p>The Symposium on Human Dynamics Research, first organized at the 2015 AAG Meeting in Chicago, celebrated its 10th anniversary at the 2024 AAG Meeting in Honolulu, marking a decade of transformative advancements in the field. Over the past decade, the focus of human dynamics research has shifted from traditional spatial-temporal analyses to sophisticated modeling of human behavior in a hybrid physical-virtual world. This evolving field now examines the intricate interdependencies between physical and digital environments, addressing critical issues such as urban resilience, public health, social equity, and community sustainability. The symposium emphasized the growing importance of interdisciplinary collaboration, advanced data-driven analytical platforms, and innovative theoretical frameworks to better understand human interactions across these spaces. As human dynamics continue to shape global urban systems, these advancements are pivotal for future research and real-world problem-solving, offering novel insights into the interconnectedness of mobility, technology, and societal well-being in a rapidly changing world.</p>","PeriodicalId":72667,"journal":{"name":"Computational urban science","volume":"4 1","pages":"31"},"PeriodicalIF":2.6,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11541281/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142636213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01Epub Date: 2024-11-14DOI: 10.1007/s43762-024-00148-8
Edwar A Calderon, Jorge E Patino, Juan C Duque, Michael Keith
The rapid growth of marginal settlements in the Global South, largely fueled by the resettlement of millions of internally displaced people (IDPs), underscores the urgent need for tailored housing solutions for these vulnerable populations. However, prevailing approaches have often relied on a one-size-fits-all model, overlooking the diverse socio-spatial realities of IDP communities. Drawing on a case study in Medellin, Colombia, where a significant portion of the population consists of forced migrants, this interdisciplinary study merges concepts from human geography and urban theory with computational methods in remote sensing and exploratory spatial data analysis. By integrating socio-spatial theory with quantitative analysis, we challenge the conventional housing paradigm and propose a novel framework for addressing the housing needs of IDPs. Employing a three-phase methodology rooted in Lefebvre's theoretical framework on the production of space, including participatory mapping, urban morphology characterization, and similarity analysis, we identify distinct patterns within urban IDP settlements and advocate for culturally sensitive housing policies. Our analysis, focusing on Colombia, the country with the largest IDP population globally, reveals the limitations of standardized approaches and highlights the importance of recognizing and accommodating socio-cultural diversity in urban planning. By contesting standardized socio-spatial practices, our research aims not only to promote equality but also to foster recognition and inclusivity within marginalized communities.
{"title":"The urban footprint of rural forced displacement.","authors":"Edwar A Calderon, Jorge E Patino, Juan C Duque, Michael Keith","doi":"10.1007/s43762-024-00148-8","DOIUrl":"10.1007/s43762-024-00148-8","url":null,"abstract":"<p><p>The rapid growth of marginal settlements in the Global South, largely fueled by the resettlement of millions of internally displaced people (IDPs), underscores the urgent need for tailored housing solutions for these vulnerable populations. However, prevailing approaches have often relied on a one-size-fits-all model, overlooking the diverse socio-spatial realities of IDP communities. Drawing on a case study in Medellin, Colombia, where a significant portion of the population consists of forced migrants, this interdisciplinary study merges concepts from human geography and urban theory with computational methods in remote sensing and exploratory spatial data analysis. By integrating socio-spatial theory with quantitative analysis, we challenge the conventional housing paradigm and propose a novel framework for addressing the housing needs of IDPs. Employing a three-phase methodology rooted in Lefebvre's theoretical framework on the production of space, including participatory mapping, urban morphology characterization, and similarity analysis, we identify distinct patterns within urban IDP settlements and advocate for culturally sensitive housing policies. Our analysis, focusing on Colombia, the country with the largest IDP population globally, reveals the limitations of standardized approaches and highlights the importance of recognizing and accommodating socio-cultural diversity in urban planning. By contesting standardized socio-spatial practices, our research aims not only to promote equality but also to foster recognition and inclusivity within marginalized communities.</p>","PeriodicalId":72667,"journal":{"name":"Computational urban science","volume":"4 1","pages":"34"},"PeriodicalIF":2.6,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11564337/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142649294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01Epub Date: 2024-10-11DOI: 10.1007/s43762-024-00138-w
Ling Wu, Na Li
This paper proposes a framework to examine how neighborhood factors influence criminal justice (CJ) contact and contribute to disparities across multiple stages of the justice process. By conceptualizing the punishment process as a dynamic set of decision-making points, this study highlights the role of neighborhood context in shaping offenders' CJ trajectories and post-CJ residential inequality. Using Harris County, Texas, as a case study, this research considers individual-, neighborhood-, and event-level variables to understand the cumulative effects of neighborhood characteristics on CJ outcomes. This study underscores the critical need to investigate neighborhood mobility and its broader implications for community development and public policy. The findings can be supported by extensive data from the Federal Statistical Research Data Centers and the Criminal Justice Administrative Records System, offering a robust analysis of offenders' spatial patterns and economic transitions.
本文提出了一个框架,以研究邻里因素如何影响刑事司法(CJ)接触,以及如何在司法程序的多个阶段造成差异。通过将惩罚过程概念化为一系列动态的决策点,本研究强调了邻里环境在塑造罪犯的刑事司法轨迹和刑事司法后的居住不平等中的作用。本研究以得克萨斯州哈里斯县为案例,考虑了个人、邻里和事件层面的变量,以了解邻里特征对 CJ 结果的累积影响。本研究强调了调查邻里流动性及其对社区发展和公共政策的广泛影响的迫切需要。联邦统计研究数据中心(Federal Statistical Research Data Centers)和刑事司法行政记录系统(Criminal Justice Administrative Records System)的大量数据为研究结果提供了支持,对罪犯的空间模式和经济转型进行了有力的分析。
{"title":"Neighborhood effects and consequences of criminal justice contact: a research framework.","authors":"Ling Wu, Na Li","doi":"10.1007/s43762-024-00138-w","DOIUrl":"https://doi.org/10.1007/s43762-024-00138-w","url":null,"abstract":"<p><p>This paper proposes a framework to examine how neighborhood factors influence criminal justice (CJ) contact and contribute to disparities across multiple stages of the justice process. By conceptualizing the punishment process as a dynamic set of decision-making points, this study highlights the role of neighborhood context in shaping offenders' CJ trajectories and post-CJ residential inequality. Using Harris County, Texas, as a case study, this research considers individual-, neighborhood-, and event-level variables to understand the cumulative effects of neighborhood characteristics on CJ outcomes. This study underscores the critical need to investigate neighborhood mobility and its broader implications for community development and public policy. The findings can be supported by extensive data from the Federal Statistical Research Data Centers and the Criminal Justice Administrative Records System, offering a robust analysis of offenders' spatial patterns and economic transitions.</p>","PeriodicalId":72667,"journal":{"name":"Computational urban science","volume":"4 1","pages":"27"},"PeriodicalIF":2.6,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11469971/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142486068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-20DOI: 10.1007/s43762-023-00112-y
H. Nayak, G. Nandini, V. Vinoj, K. Landu, Debadatta Swain, Uma Charan Mohanty, D. Niyogi
{"title":"Influence of urbanization on winter surface temperatures in a topographically asymmetric Tropical City, Bhubaneswar, India","authors":"H. Nayak, G. Nandini, V. Vinoj, K. Landu, Debadatta Swain, Uma Charan Mohanty, D. Niyogi","doi":"10.1007/s43762-023-00112-y","DOIUrl":"https://doi.org/10.1007/s43762-023-00112-y","url":null,"abstract":"","PeriodicalId":72667,"journal":{"name":"Computational urban science","volume":"120 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138958524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-06DOI: 10.1007/s43762-023-00107-9
Ryo Inoue, Shino Shiode, Narushige Shiode
Abstract Spatial colocation has been studied in many contexts including locations of urban facilities, industry entities and businesses. However, identifying colocations among a small number of facilities and establishments holds the risk of introducing false positive in that such a spatial arrangement may have occurred by chance. To account for the association between a group of facilities that frequently colocate with each other, this study proposes a two-step approach consisting of identifying statistically significant clusters of each facility type using the False Discovery Rate (FDR) controlling procedure, and subsequently measuring the colocation of those clusters with the frequent-pattern-growth (FP-growth) algorithm. Empirical analysis of 6 million business and industrial establishments across Japan suggests that 10 out of 86 industry types form clear colocations and their colocations form a multi-layered, cascading structure. The number of layers in the multi-layered structure reflect the city size and the strength of the association between the colocated clusters of industries. These patterns illustrate the utility of detecting colocation of clusters towards understanding the agglomeration of different businesses. The proposed method can be applied to other contexts that would benefit from investigations into how different types of spatial features can be linked with each other and how they form colocations.
{"title":"Colocations of spatial clusters among different industries","authors":"Ryo Inoue, Shino Shiode, Narushige Shiode","doi":"10.1007/s43762-023-00107-9","DOIUrl":"https://doi.org/10.1007/s43762-023-00107-9","url":null,"abstract":"Abstract Spatial colocation has been studied in many contexts including locations of urban facilities, industry entities and businesses. However, identifying colocations among a small number of facilities and establishments holds the risk of introducing false positive in that such a spatial arrangement may have occurred by chance. To account for the association between a group of facilities that frequently colocate with each other, this study proposes a two-step approach consisting of identifying statistically significant clusters of each facility type using the False Discovery Rate (FDR) controlling procedure, and subsequently measuring the colocation of those clusters with the frequent-pattern-growth (FP-growth) algorithm. Empirical analysis of 6 million business and industrial establishments across Japan suggests that 10 out of 86 industry types form clear colocations and their colocations form a multi-layered, cascading structure. The number of layers in the multi-layered structure reflect the city size and the strength of the association between the colocated clusters of industries. These patterns illustrate the utility of detecting colocation of clusters towards understanding the agglomeration of different businesses. The proposed method can be applied to other contexts that would benefit from investigations into how different types of spatial features can be linked with each other and how they form colocations.","PeriodicalId":72667,"journal":{"name":"Computational urban science","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135634006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-31DOI: 10.1007/s43762-023-00110-0
Huazhen Liu, Miao Yang, ChengHe Guan, Yi Samuel Chen, Michael Keith, Meizi You, Monica Menendez
Abstract Connected and Autonomous Vehicles (CAVs) are reshaping urban systems, demanding substantial computational support. While existing research emphasizes the significance of establishing physical and virtual infrastructure to facilitate CAV integration, a comprehensive framework for designing CAV-related infrastructure principles remains largely absent. This paper introduces a holistic framework that addresses gaps in current literature by presenting principles for the design of CAV-related infrastructure. We identify diverse urban infrastructure types crucial for CAVs, each characterized by intricate considerations. Deriving from existing literature, we introduce five principles to guide investments in physical infrastructure, complemented by four principles specific to virtual infrastructure. These principles are expected to evolve with CAV development and associated technology advancements. Furthermore, we exemplify the application of these principles through a case study in Oxford, UK. In doing so, we assess urban conditions, identify representative streets, and craft CAV-related urban infrastructure tailored to distinct street characteristics. This framework stands as a valuable reference for cities worldwide as they prepare for the increasing adoption of CAVs.
{"title":"Urban infrastructure design principles for connected and autonomous vehicles: a case study of Oxford, UK","authors":"Huazhen Liu, Miao Yang, ChengHe Guan, Yi Samuel Chen, Michael Keith, Meizi You, Monica Menendez","doi":"10.1007/s43762-023-00110-0","DOIUrl":"https://doi.org/10.1007/s43762-023-00110-0","url":null,"abstract":"Abstract Connected and Autonomous Vehicles (CAVs) are reshaping urban systems, demanding substantial computational support. While existing research emphasizes the significance of establishing physical and virtual infrastructure to facilitate CAV integration, a comprehensive framework for designing CAV-related infrastructure principles remains largely absent. This paper introduces a holistic framework that addresses gaps in current literature by presenting principles for the design of CAV-related infrastructure. We identify diverse urban infrastructure types crucial for CAVs, each characterized by intricate considerations. Deriving from existing literature, we introduce five principles to guide investments in physical infrastructure, complemented by four principles specific to virtual infrastructure. These principles are expected to evolve with CAV development and associated technology advancements. Furthermore, we exemplify the application of these principles through a case study in Oxford, UK. In doing so, we assess urban conditions, identify representative streets, and craft CAV-related urban infrastructure tailored to distinct street characteristics. This framework stands as a valuable reference for cities worldwide as they prepare for the increasing adoption of CAVs.","PeriodicalId":72667,"journal":{"name":"Computational urban science","volume":"42 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135814535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-25DOI: 10.1007/s43762-023-00109-7
Khan Mortuza Bin Asad, Yihong Yuan
Abstract The development of high-precision location tracking devices and advancements in data collection, storage, transmission technologies, and data mining algorithms have led to the availability of large datasets with high spatiotemporal resolution. These geospatial big data can be used to identify human movement patterns in urban areas. However, identifying human movement patterns may yield different results depending on the scale size used. In this paper, we employed first and second order texture analysis algorithms to identify spatial patterns of human movement for various scale sizes based on taxi trajectory data from Nanjing, China. The results demonstrated that texture analysis can quantify changes in human movement patterns for different scale sizes in an urban area. Furthermore, the results may differ based on the location of the study area. This study contributed both methodologically and empirically. Methodologically, we used texture analysis to examine the impact of different scale sizes on the extraction of aggregated human travel patterns. Empirically, we quantified the effects of different scale sizes on extracting aggregated travel patterns of an urban area. Overall, the findings of this study can have significant implications for urban planning and policy-making, as understanding human movement patterns at different scales can provide valuable insights for optimizing transportation systems and enhancing overall urban mobility.
{"title":"The impact of scale on extracting urban mobility patterns using texture analysis","authors":"Khan Mortuza Bin Asad, Yihong Yuan","doi":"10.1007/s43762-023-00109-7","DOIUrl":"https://doi.org/10.1007/s43762-023-00109-7","url":null,"abstract":"Abstract The development of high-precision location tracking devices and advancements in data collection, storage, transmission technologies, and data mining algorithms have led to the availability of large datasets with high spatiotemporal resolution. These geospatial big data can be used to identify human movement patterns in urban areas. However, identifying human movement patterns may yield different results depending on the scale size used. In this paper, we employed first and second order texture analysis algorithms to identify spatial patterns of human movement for various scale sizes based on taxi trajectory data from Nanjing, China. The results demonstrated that texture analysis can quantify changes in human movement patterns for different scale sizes in an urban area. Furthermore, the results may differ based on the location of the study area. This study contributed both methodologically and empirically. Methodologically, we used texture analysis to examine the impact of different scale sizes on the extraction of aggregated human travel patterns. Empirically, we quantified the effects of different scale sizes on extracting aggregated travel patterns of an urban area. Overall, the findings of this study can have significant implications for urban planning and policy-making, as understanding human movement patterns at different scales can provide valuable insights for optimizing transportation systems and enhancing overall urban mobility.","PeriodicalId":72667,"journal":{"name":"Computational urban science","volume":"20 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135113754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-03DOI: 10.1007/s43762-023-00108-8
Cemre Korkut, Oktan Nalbantoğlu
Abstract Cities are information systems by its social and physical components. The data of these components create a wider picture in urban texture than it was designed by planners and designer in urban practices. The idea of collecting the data and composing models of spontaneous actions in urban simulations can add different dimensions to planning ideas in social terms and spatial texture. The issue is to find out how these components can be better related with each other to let citizens be urban planners as well up to some level, and what level that would be. The aim of the project is to bring back the social impact of the whole city as linking the hubs of Karaköy and Kabataş through the waterfront, also reawakening the collective memory of the port, by preserving the texture of warehouses form Ottoman Empire. The final outcome would be understanding how effectively project would be able to create the dynamics that have been proposed, and whether there have been other spontaneous actions thought the designed area.
{"title":"Adaptability of everyday planning in urban design practices: self-organization and spontaneous action analysis of Galataport, Istanbul","authors":"Cemre Korkut, Oktan Nalbantoğlu","doi":"10.1007/s43762-023-00108-8","DOIUrl":"https://doi.org/10.1007/s43762-023-00108-8","url":null,"abstract":"Abstract Cities are information systems by its social and physical components. The data of these components create a wider picture in urban texture than it was designed by planners and designer in urban practices. The idea of collecting the data and composing models of spontaneous actions in urban simulations can add different dimensions to planning ideas in social terms and spatial texture. The issue is to find out how these components can be better related with each other to let citizens be urban planners as well up to some level, and what level that would be. The aim of the project is to bring back the social impact of the whole city as linking the hubs of Karaköy and Kabataş through the waterfront, also reawakening the collective memory of the port, by preserving the texture of warehouses form Ottoman Empire. The final outcome would be understanding how effectively project would be able to create the dynamics that have been proposed, and whether there have been other spontaneous actions thought the designed area.","PeriodicalId":72667,"journal":{"name":"Computational urban science","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135696138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-26DOI: 10.1007/s43762-023-00106-w
Ali Dhafer Abed
Abstract This phenomenon of slums represents one of the most serious problems that Iraqi cities suffer from, especially the city of Baghdad, which has become teeming with a lot of slum buildings that have distorted most of its areas and neighborhoods. Most of the slums are in the form of scattered construction and chaotic gatherings that do not follow any planning standards. This paper aims to present and analyze the mechanisms of urban upgrading of two models of slums in the city of Baghdad and London. The treatment was through the urban development of these slums and the provision and improvement of services to reduce the phenomenon of total removal. The GIS program was used to calculate the urban variables and requirements, the optimal locations for services, and the total and partial removal percentages. The research achieved the lowest percentage of total and partial removal of the actual areas, which amounted to 7.31% in the first model and 14.26% in the second model. The slum area was also provided with all the necessary services in accordance with the urban housing standards specific to each city, to turn it into a residential neighborhood instead of calling it a slum region.
{"title":"Urban upgrading of slums: Baghdad and London slums as study models for urban rehabilitation","authors":"Ali Dhafer Abed","doi":"10.1007/s43762-023-00106-w","DOIUrl":"https://doi.org/10.1007/s43762-023-00106-w","url":null,"abstract":"Abstract This phenomenon of slums represents one of the most serious problems that Iraqi cities suffer from, especially the city of Baghdad, which has become teeming with a lot of slum buildings that have distorted most of its areas and neighborhoods. Most of the slums are in the form of scattered construction and chaotic gatherings that do not follow any planning standards. This paper aims to present and analyze the mechanisms of urban upgrading of two models of slums in the city of Baghdad and London. The treatment was through the urban development of these slums and the provision and improvement of services to reduce the phenomenon of total removal. The GIS program was used to calculate the urban variables and requirements, the optimal locations for services, and the total and partial removal percentages. The research achieved the lowest percentage of total and partial removal of the actual areas, which amounted to 7.31% in the first model and 14.26% in the second model. The slum area was also provided with all the necessary services in accordance with the urban housing standards specific to each city, to turn it into a residential neighborhood instead of calling it a slum region.","PeriodicalId":72667,"journal":{"name":"Computational urban science","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134958602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}