Pub Date : 2024-03-05DOI: 10.1177/23998083241237013
Yao Shen, Lefeng Liu, Zihan Xu, Wentao Yan, Liyan Xu
China boasts a multitude of cities exhibiting distinctly spatial characteristics, leading to variations in resilience. While attention has been garnered in individual cities, comprehensive studies for the whole system are scarce. Visualising and comparing the variations of spatial resilience across cities prove valuable in understanding disparities among city systems in terms of their spatial development and resilience consequences. This research measures the evolving resilience of spatial networks in nearly all cities within mainland China under intentional attack scenarios. Chinese cities exhibit different compositions of evolutional efficiency and scale effects when attacks exacerbate. The regions detected by the dissimilar compositions of spatiotemporal resilience showcase the spatial heterogeneity of road network resilience. Road network resilience of individual cities is related to city size and urbanised levels, but uncertainty is still revealed. Forming such an individual and regional scope to scrutinise the in-depth structure of spatial resilience of many cities can aid in allocating relevant spatial policies and evaluating the structural resilience risk for given cities in subject to all others.
{"title":"Varying road network resilience of Chinese cities","authors":"Yao Shen, Lefeng Liu, Zihan Xu, Wentao Yan, Liyan Xu","doi":"10.1177/23998083241237013","DOIUrl":"https://doi.org/10.1177/23998083241237013","url":null,"abstract":"China boasts a multitude of cities exhibiting distinctly spatial characteristics, leading to variations in resilience. While attention has been garnered in individual cities, comprehensive studies for the whole system are scarce. Visualising and comparing the variations of spatial resilience across cities prove valuable in understanding disparities among city systems in terms of their spatial development and resilience consequences. This research measures the evolving resilience of spatial networks in nearly all cities within mainland China under intentional attack scenarios. Chinese cities exhibit different compositions of evolutional efficiency and scale effects when attacks exacerbate. The regions detected by the dissimilar compositions of spatiotemporal resilience showcase the spatial heterogeneity of road network resilience. Road network resilience of individual cities is related to city size and urbanised levels, but uncertainty is still revealed. Forming such an individual and regional scope to scrutinise the in-depth structure of spatial resilience of many cities can aid in allocating relevant spatial policies and evaluating the structural resilience risk for given cities in subject to all others.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":"2013 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140046910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-28DOI: 10.1177/23998083241235788
Umut Erdem
Zoning potential danger derived from earthquakes is crucial for the development of policies dealing with the future of the cities. Determination of the potential danger zones regarding earthquakes with the telecommunication infrastructure is crucial for the development of policies dealing with the future of the cities. By utilizing the cartogram mapping technique, this paper aims to display potential earthquake danger zones with the uneven distribution of the cell towers and cells on a population cartogram for Türkiye. This is crucial for the cities regarding the future potential communication crises after disasters. Policymakers should provide and develop well-functioning communication networks (GSM networks) for the organization of aid and search and rescue operations since the collapse of the communication infrastructure renders all post-disaster processes insoluble and dysfunctional.
{"title":"Uneven regional distribution earthquake danger zones and of cell towers and cells in Türkiye","authors":"Umut Erdem","doi":"10.1177/23998083241235788","DOIUrl":"https://doi.org/10.1177/23998083241235788","url":null,"abstract":"Zoning potential danger derived from earthquakes is crucial for the development of policies dealing with the future of the cities. Determination of the potential danger zones regarding earthquakes with the telecommunication infrastructure is crucial for the development of policies dealing with the future of the cities. By utilizing the cartogram mapping technique, this paper aims to display potential earthquake danger zones with the uneven distribution of the cell towers and cells on a population cartogram for Türkiye. This is crucial for the cities regarding the future potential communication crises after disasters. Policymakers should provide and develop well-functioning communication networks (GSM networks) for the organization of aid and search and rescue operations since the collapse of the communication infrastructure renders all post-disaster processes insoluble and dysfunctional.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":"17 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140008629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-27DOI: 10.1177/23998083241235246
Ylenia Casali, Nazli Yonca Aydin, Tina Comes
Urban areas are dynamic systems, in which different infrastructural, social and economic subsystems continuously co-evolve. As such, disruptions in one system can propagate to another. However, open challenges remain in (i) assessing the long-term implications of change for resilience and (ii) understanding how resilience propagates throughout urban systems over time. Despite the increasing reliance on data in smart cities, few studies empirically investigate long-term urban co-evolution using data-driven methods, leading to a gap in urban resilience assessments. This paper presents an approach that combines Getis-ord Gi* statistical and correlation analyses to investigate how cities recover from crises and adapt by analysing how the spatial patterns of urban characteristics and their relationships changed over time. We illustrate our approach through a study on Helsinki’s road infrastructure, socioeconomic system and built-up area from 1991 to 2016, a period marked by a major socioeconomic crisis. By analysing this case study, we provide insights into the co-evolution over more than two decades, thereby addressing the lack of longitudinal studies on urban resilience.
{"title":"A data-driven approach to analyse the co-evolution of urban systems through a resilience lens: A Helsinki case study","authors":"Ylenia Casali, Nazli Yonca Aydin, Tina Comes","doi":"10.1177/23998083241235246","DOIUrl":"https://doi.org/10.1177/23998083241235246","url":null,"abstract":"Urban areas are dynamic systems, in which different infrastructural, social and economic subsystems continuously co-evolve. As such, disruptions in one system can propagate to another. However, open challenges remain in (i) assessing the long-term implications of change for resilience and (ii) understanding how resilience propagates throughout urban systems over time. Despite the increasing reliance on data in smart cities, few studies empirically investigate long-term urban co-evolution using data-driven methods, leading to a gap in urban resilience assessments. This paper presents an approach that combines Getis-ord Gi* statistical and correlation analyses to investigate how cities recover from crises and adapt by analysing how the spatial patterns of urban characteristics and their relationships changed over time. We illustrate our approach through a study on Helsinki’s road infrastructure, socioeconomic system and built-up area from 1991 to 2016, a period marked by a major socioeconomic crisis. By analysing this case study, we provide insights into the co-evolution over more than two decades, thereby addressing the lack of longitudinal studies on urban resilience.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":"14 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140008435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-24DOI: 10.1177/23998083241236619
Michael Batty
{"title":"AI and design","authors":"Michael Batty","doi":"10.1177/23998083241236619","DOIUrl":"https://doi.org/10.1177/23998083241236619","url":null,"abstract":"","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":"255 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139950619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-20DOI: 10.1177/23998083241234137
Qi-Li Gao, Chen Zhong, Yikang Wang
Prior research on the scaling of city size and inequality has a primary focus on economic factors such as income. Limited research has addressed socio-spatial disparities in mobility, involving physical activities and social interactions among individuals and population groups. Utilising mobile phone app data, this study measured inequalities using multiple mobility-related indicators (i.e. the number of activity points, the radius of gyration, self-containment, and social interaction indices) and related to population size by scaling models. In England’s context, these indicators unfolding mobility patterns and social issues display different scaling regimes, varying from sublinear to super-linear. It was observed that larger cities are associated with greater social interactions, particularly among socioeconomically advantaged groups; however, they also exhibit exacerbated self-segregation. Due to the radiation effect of big cities, the performances (e.g. travel radius) of small surrounding towns deviate from the predicted values of scaling models. Within cities, the evenness of indicators is independent of population size and produces distinct spatial patterns. The findings expand upon previous research and provide a more nuanced understanding of the complex relationship between city size, urban inequality, and human mobility.
{"title":"Unpacking urban scaling and socio-spatial inequalities in mobility: Evidence from England","authors":"Qi-Li Gao, Chen Zhong, Yikang Wang","doi":"10.1177/23998083241234137","DOIUrl":"https://doi.org/10.1177/23998083241234137","url":null,"abstract":"Prior research on the scaling of city size and inequality has a primary focus on economic factors such as income. Limited research has addressed socio-spatial disparities in mobility, involving physical activities and social interactions among individuals and population groups. Utilising mobile phone app data, this study measured inequalities using multiple mobility-related indicators (i.e. the number of activity points, the radius of gyration, self-containment, and social interaction indices) and related to population size by scaling models. In England’s context, these indicators unfolding mobility patterns and social issues display different scaling regimes, varying from sublinear to super-linear. It was observed that larger cities are associated with greater social interactions, particularly among socioeconomically advantaged groups; however, they also exhibit exacerbated self-segregation. Due to the radiation effect of big cities, the performances (e.g. travel radius) of small surrounding towns deviate from the predicted values of scaling models. Within cities, the evenness of indicators is independent of population size and produces distinct spatial patterns. The findings expand upon previous research and provide a more nuanced understanding of the complex relationship between city size, urban inequality, and human mobility.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":"34 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139950615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-31DOI: 10.1177/23998083241230580
Ali Riahi Samani, Reza Riahisamani, Sabyasachee Mishra, Mihalis M Golias, David Jung-Hwi Lee
Due to the significant effects of establishments’ relocations on travel patterns and land-use conditions, investigating establishments’ relocation behavior is an important issue. In recent years, many establishments closed or relocated because of a downturn economy, health concerns, interrupted supply chains, and work-from-home caused by the pandemic. Hence, this study aims to propose a modeling approach to assess and compare the relocation behavior of establishments before, during, and after the pandemic. Establishments’ relocation behavior is modeled in two steps: relocation decision and relocation action. The former provides insights into behavioral factors associated with establishment relocation and the latter models likelihood of spatial relocation choice. Using the data collected from the state of Tennessee, USA, the Random Forest classification approach is incorporated to model both steps, where the model validation results showed the promising accuracy of this modeling approach. Moreover, statistical analyses are applied to evaluate the differences between the spatial relocation choices throughout the time. Results showed that in post-Covid conditions, the importance of establishment characteristics on relocation decisions was reduced by half and relocations occurred more due to office profile and accessibility. Results of modeling relocation action indicated the high importance of accessibility, even though the attractiveness of accessibility was reduced by 20.9% in post-Covid analysis. The findings of this study enrich the knowledge on establishment relocation behavior and provide valuable information regarding the effect of the pandemic, which can be used in policy development and travel behavior modeling by urban and transportation planners.
{"title":"Evaluating relocation behavior of establishments: Evidence for the short-term effects of COVID-19","authors":"Ali Riahi Samani, Reza Riahisamani, Sabyasachee Mishra, Mihalis M Golias, David Jung-Hwi Lee","doi":"10.1177/23998083241230580","DOIUrl":"https://doi.org/10.1177/23998083241230580","url":null,"abstract":"Due to the significant effects of establishments’ relocations on travel patterns and land-use conditions, investigating establishments’ relocation behavior is an important issue. In recent years, many establishments closed or relocated because of a downturn economy, health concerns, interrupted supply chains, and work-from-home caused by the pandemic. Hence, this study aims to propose a modeling approach to assess and compare the relocation behavior of establishments before, during, and after the pandemic. Establishments’ relocation behavior is modeled in two steps: relocation decision and relocation action. The former provides insights into behavioral factors associated with establishment relocation and the latter models likelihood of spatial relocation choice. Using the data collected from the state of Tennessee, USA, the Random Forest classification approach is incorporated to model both steps, where the model validation results showed the promising accuracy of this modeling approach. Moreover, statistical analyses are applied to evaluate the differences between the spatial relocation choices throughout the time. Results showed that in post-Covid conditions, the importance of establishment characteristics on relocation decisions was reduced by half and relocations occurred more due to office profile and accessibility. Results of modeling relocation action indicated the high importance of accessibility, even though the attractiveness of accessibility was reduced by 20.9% in post-Covid analysis. The findings of this study enrich the knowledge on establishment relocation behavior and provide valuable information regarding the effect of the pandemic, which can be used in policy development and travel behavior modeling by urban and transportation planners.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":"1 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139950624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-09DOI: 10.1177/23998083241227294
Linda See
{"title":"The innovative role of cities in solving global problems with local solutions","authors":"Linda See","doi":"10.1177/23998083241227294","DOIUrl":"https://doi.org/10.1177/23998083241227294","url":null,"abstract":"","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":"10 9","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139443626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-02DOI: 10.1177/23998083231224136
Andrea Ballatore, Scott Rodgers, Liam McLoughlin, Susan Moore
This paper investigates the geography of Facebook use at an urban-regional scale, focussing on place-named groups, meaning various interest groups with names relating to places such as towns, neighbourhoods, or points of interest. Conceptualising Facebook as a digital infrastructure – that is, the platform’s urban footprint, in the form of its place-named groups, rather than what individuals share and create using the service – we explore the location, theme, and scale of 3016 groups relating to places in Greater London. Firstly, we address the quantitative and qualitative methodological challenges that we faced to identify the groups and ground them geographically. Secondly, we analyse the scale of the toponyms in the group names, which are predominantly linked to London’s suburbs. Thirdly, we study the spatial distribution of groups, both overall and by specific types, in relation to the socio-demographic characteristics of residents at the borough level. Through correlation and robust regression analyses, the presence and activity of groups are linked to a relatively older, non-deprived, and non-immigrant population living in less dense areas, with high variability across different group types. These results portray place-named Facebook groups as communication infrastructure skewed towards more banal interactions and places in Greater London’s outlying boroughs. This research is among the first to explore and visualise the urban geographies of Facebook groups at a metropolitan scale, showing the extent, nature, and locational tendencies of large-scale social media use as increasingly ordinary aspects of how people come to know, experience, live, and work in cities.
{"title":"Facebook city: Place-named groups as urban communication infrastructure in Greater London","authors":"Andrea Ballatore, Scott Rodgers, Liam McLoughlin, Susan Moore","doi":"10.1177/23998083231224136","DOIUrl":"https://doi.org/10.1177/23998083231224136","url":null,"abstract":"This paper investigates the geography of Facebook use at an urban-regional scale, focussing on place-named groups, meaning various interest groups with names relating to places such as towns, neighbourhoods, or points of interest. Conceptualising Facebook as a digital infrastructure – that is, the platform’s urban footprint, in the form of its place-named groups, rather than what individuals share and create using the service – we explore the location, theme, and scale of 3016 groups relating to places in Greater London. Firstly, we address the quantitative and qualitative methodological challenges that we faced to identify the groups and ground them geographically. Secondly, we analyse the scale of the toponyms in the group names, which are predominantly linked to London’s suburbs. Thirdly, we study the spatial distribution of groups, both overall and by specific types, in relation to the socio-demographic characteristics of residents at the borough level. Through correlation and robust regression analyses, the presence and activity of groups are linked to a relatively older, non-deprived, and non-immigrant population living in less dense areas, with high variability across different group types. These results portray place-named Facebook groups as communication infrastructure skewed towards more banal interactions and places in Greater London’s outlying boroughs. This research is among the first to explore and visualise the urban geographies of Facebook groups at a metropolitan scale, showing the extent, nature, and locational tendencies of large-scale social media use as increasingly ordinary aspects of how people come to know, experience, live, and work in cities.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":"8 21","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139391533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-02DOI: 10.1177/23998083231224831
Bahman Lahoorpoor, David M Levinson
Agent-based models are computational methods for simulating the actions and reactions of autonomous entities with the ability to capture their effects on a system through interaction rules. This study develops an agent-based simulation model (RANGE) to replicate the growth of Sydney Trains network by given exogenous historical evolution in land use. A set of locational rules has been defined to find a sequence of optimal stations from an initial seed. The model framework is an iterative process that includes five consecutive components including environment loading, measuring access, locating stations, connecting stations, and evaluating connections. In each iteration, following the locating/connecting process in each line of railways network, the accessibility will be calculated, and land use will be updated. Based on the compilation of network topology and properties, each iteration will be a year-on-year time step analysis. The network evolves based on a set of locational rules in regards to changes in the historic land use. Also, two coverage indices are defined to evaluate the fitness of the simulated lines in comparison to the Sydney tram and train network.
{"title":"An agent-based simulation model for the growth of the Sydney Trains network","authors":"Bahman Lahoorpoor, David M Levinson","doi":"10.1177/23998083231224831","DOIUrl":"https://doi.org/10.1177/23998083231224831","url":null,"abstract":"Agent-based models are computational methods for simulating the actions and reactions of autonomous entities with the ability to capture their effects on a system through interaction rules. This study develops an agent-based simulation model (RANGE) to replicate the growth of Sydney Trains network by given exogenous historical evolution in land use. A set of locational rules has been defined to find a sequence of optimal stations from an initial seed. The model framework is an iterative process that includes five consecutive components including environment loading, measuring access, locating stations, connecting stations, and evaluating connections. In each iteration, following the locating/connecting process in each line of railways network, the accessibility will be calculated, and land use will be updated. Based on the compilation of network topology and properties, each iteration will be a year-on-year time step analysis. The network evolves based on a set of locational rules in regards to changes in the historic land use. Also, two coverage indices are defined to evaluate the fitness of the simulated lines in comparison to the Sydney tram and train network.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":"138 30","pages":""},"PeriodicalIF":3.5,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139453079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-28DOI: 10.1177/23998083231223867
Liu Yang, Mingbo Wu, Yishan Chen, Chenyang Wu
Cities’ transportation systems have substantial impacts on urban vitality. Given the increasing availability of data on residents’ activities, cities’ tangible/intangible vitality can be analyzed more accurately. This study examined the associations of tangible and intangible vitality with transportation system features, specifically exploring various transportation modes’ accessibility, features related to block forms, and border vacuums at a block scale across different urban areas. Nanjing, China, was analyzed as a case study. Our findings reveal a declining gradient of urban vitality from the Old Town to the Main City and the New Area. Consequently, we suggest prioritizing efforts to enhance urban vitality in the New Area, particularly in its low-vitality blocks. Strategies for improvement include increasing public transportation accessibility and road density, which can positively influence the overall vitality of the entire city. Improving active travel accessibility has a positive impact on tangible vitality, while enhancing automobile accessibility potentially contributes to intangible vitality. Negative border effects of large transportation projects on tangible vitality should be mitigated. Interestingly, we found that intersection density has opposite effects on tangible and intangible vitality. These insights offer valuable guidance for urban planners aiming to enhance vitality levels across an entire city or within specific areas.
{"title":"Examining the impact of the urban transportation system on tangible and intangible vitality at the city-block scale in Nanjing, China","authors":"Liu Yang, Mingbo Wu, Yishan Chen, Chenyang Wu","doi":"10.1177/23998083231223867","DOIUrl":"https://doi.org/10.1177/23998083231223867","url":null,"abstract":"Cities’ transportation systems have substantial impacts on urban vitality. Given the increasing availability of data on residents’ activities, cities’ tangible/intangible vitality can be analyzed more accurately. This study examined the associations of tangible and intangible vitality with transportation system features, specifically exploring various transportation modes’ accessibility, features related to block forms, and border vacuums at a block scale across different urban areas. Nanjing, China, was analyzed as a case study. Our findings reveal a declining gradient of urban vitality from the Old Town to the Main City and the New Area. Consequently, we suggest prioritizing efforts to enhance urban vitality in the New Area, particularly in its low-vitality blocks. Strategies for improvement include increasing public transportation accessibility and road density, which can positively influence the overall vitality of the entire city. Improving active travel accessibility has a positive impact on tangible vitality, while enhancing automobile accessibility potentially contributes to intangible vitality. Negative border effects of large transportation projects on tangible vitality should be mitigated. Interestingly, we found that intersection density has opposite effects on tangible and intangible vitality. These insights offer valuable guidance for urban planners aiming to enhance vitality levels across an entire city or within specific areas.","PeriodicalId":11863,"journal":{"name":"Environment and Planning B: Urban Analytics and City Science","volume":"29 6","pages":""},"PeriodicalIF":3.5,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139151604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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