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}
Pub Date : 2023-09-14DOI: 10.1007/s43762-023-00102-0
Prosper K. Anyidoho, Xinglong Ju, Rachel A. Davidson, Linda K. Nozick
{"title":"A machine learning approach for predicting hurricane evacuee destination location using smartphone location data","authors":"Prosper K. Anyidoho, Xinglong Ju, Rachel A. Davidson, Linda K. Nozick","doi":"10.1007/s43762-023-00102-0","DOIUrl":"https://doi.org/10.1007/s43762-023-00102-0","url":null,"abstract":"","PeriodicalId":72667,"journal":{"name":"Computational urban science","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134912574","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 : 2023-09-13DOI: 10.1007/s43762-023-00105-x
Ibukun Titiloye, Md Al Adib Sarker, Hamidreza Asgari, Xia Jin
Abstract The online and in-store shopping landscape underwent transformative shifts due to the Covid-19 pandemic, potentially leading to novel hybrid shopping behaviors following the availability of Covid-19 vaccines. However, these new dynamics, especially for non-essential experience goods which were heavily impacted by lockdowns, remain relatively unexplored. Moreover, variations in such dynamics within the same product class are not well understood. This study investigates the interactions between online and in-store shopping behaviors across four categories of non-essential experience goods: clothing, shoes, watches, and jewelry (CSWJ); beauty and health products (BH); toys, kids, and baby supplies (TKB); and home, garden, and tools (HGT). Data from over 2,000 Florida residents collected in early 2021, encompassing purchase frequencies, attitudes, and socio-demographic attributes, were analyzed using separate bidirectional structural equation models. Findings indicate that the relationship between online and in-store shopping for CSWJ and TKB exhibited reciprocal complementarity effects. In contrast, BH and HGT displayed an asymmetric reciprocal relationship, with in-store shopping showing no significant influence on online shopping. Results on the mediating influence of attitudes on shopping behaviors showed that a pro-online shopping attitude and preference for alternative travel modes positively influenced online shopping frequency, while the joy of shopping and data privacy/security concerns emerged as drivers of in-store shopping across all product categories. In sum, this study underscores the presence of product-specific heterogeneity even within the experience goods class, contributing to the complex interactions between online and in-store shopping behaviors.
{"title":"Online and in-store shopping interactions for non-essential experience goods","authors":"Ibukun Titiloye, Md Al Adib Sarker, Hamidreza Asgari, Xia Jin","doi":"10.1007/s43762-023-00105-x","DOIUrl":"https://doi.org/10.1007/s43762-023-00105-x","url":null,"abstract":"Abstract The online and in-store shopping landscape underwent transformative shifts due to the Covid-19 pandemic, potentially leading to novel hybrid shopping behaviors following the availability of Covid-19 vaccines. However, these new dynamics, especially for non-essential experience goods which were heavily impacted by lockdowns, remain relatively unexplored. Moreover, variations in such dynamics within the same product class are not well understood. This study investigates the interactions between online and in-store shopping behaviors across four categories of non-essential experience goods: clothing, shoes, watches, and jewelry (CSWJ); beauty and health products (BH); toys, kids, and baby supplies (TKB); and home, garden, and tools (HGT). Data from over 2,000 Florida residents collected in early 2021, encompassing purchase frequencies, attitudes, and socio-demographic attributes, were analyzed using separate bidirectional structural equation models. Findings indicate that the relationship between online and in-store shopping for CSWJ and TKB exhibited reciprocal complementarity effects. In contrast, BH and HGT displayed an asymmetric reciprocal relationship, with in-store shopping showing no significant influence on online shopping. Results on the mediating influence of attitudes on shopping behaviors showed that a pro-online shopping attitude and preference for alternative travel modes positively influenced online shopping frequency, while the joy of shopping and data privacy/security concerns emerged as drivers of in-store shopping across all product categories. In sum, this study underscores the presence of product-specific heterogeneity even within the experience goods class, contributing to the complex interactions between online and in-store shopping behaviors.","PeriodicalId":72667,"journal":{"name":"Computational urban science","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134990410","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 : 2023-09-08DOI: 10.1007/s43762-023-00104-y
S. Jagatheesaperumal, Simon Elias Bibri, Shrivarshni Ganesan, Poongkalai Jeyaraman
{"title":"Artificial Intelligence for road quality assessment in smart cities: a machine learning approach to acoustic data analysis","authors":"S. Jagatheesaperumal, Simon Elias Bibri, Shrivarshni Ganesan, Poongkalai Jeyaraman","doi":"10.1007/s43762-023-00104-y","DOIUrl":"https://doi.org/10.1007/s43762-023-00104-y","url":null,"abstract":"","PeriodicalId":72667,"journal":{"name":"Computational urban science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45871040","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 : 2023-08-31DOI: 10.1007/s43762-023-00103-z
H. Raslan, Dalia Shebl Saeed
{"title":"“Re-evaluating the health performance of historical buildings using WELLV1 rating system”","authors":"H. Raslan, Dalia Shebl Saeed","doi":"10.1007/s43762-023-00103-z","DOIUrl":"https://doi.org/10.1007/s43762-023-00103-z","url":null,"abstract":"","PeriodicalId":72667,"journal":{"name":"Computational urban science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45058051","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 : 2023-08-04DOI: 10.1007/s43762-023-00101-1
Ansar Khan, Laura Carlosena, Samiran Khorat, Rupali Khatun, Debashish Das, Quang‐Van Doan, R. Hamdi, Sk Mohammad Aziz, H. Akbari, M. Santamouris, D. Niyogi
{"title":"Urban cooling potential and cost comparison of heat mitigation techniques for their impact on the lower atmosphere","authors":"Ansar Khan, Laura Carlosena, Samiran Khorat, Rupali Khatun, Debashish Das, Quang‐Van Doan, R. Hamdi, Sk Mohammad Aziz, H. Akbari, M. Santamouris, D. Niyogi","doi":"10.1007/s43762-023-00101-1","DOIUrl":"https://doi.org/10.1007/s43762-023-00101-1","url":null,"abstract":"","PeriodicalId":72667,"journal":{"name":"Computational urban science","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43662918","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：