Network structure and urban mobility sustainability: A topological analysis of cities from the urban mobility readiness index

In the context of rapid urbanization, efficient and sustainable urban mobility is critical. This study explores the impact of urban network structure and socio-demographic factors on Urban Mobility Readiness (UMRi) across 62 cities worldwide. Using complex network analysis, Principal Component Analy...

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Autores:
Herrera Acevedo, Daniel
Sierra Porta, David
Sierra Porta, David
Tipo de recurso:
Article of investigation
Fecha de publicación:
2025
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/13223
Acceso en línea:
https://hdl.handle.net/20.500.12585/13223
Palabra clave:
Urban mobility
Complex network analysis
Sustainable transportation
Sustainable urban development
Urban planning
Topological data analysis
LEMB
Rights
openAccess
License
http://purl.org/coar/access_right/c_abf2
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dc.title.spa.fl_str_mv Network structure and urban mobility sustainability: A topological analysis of cities from the urban mobility readiness index
title Network structure and urban mobility sustainability: A topological analysis of cities from the urban mobility readiness index
spellingShingle Network structure and urban mobility sustainability: A topological analysis of cities from the urban mobility readiness index
Urban mobility
Complex network analysis
Sustainable transportation
Sustainable urban development
Urban planning
Topological data analysis
LEMB
title_short Network structure and urban mobility sustainability: A topological analysis of cities from the urban mobility readiness index
title_full Network structure and urban mobility sustainability: A topological analysis of cities from the urban mobility readiness index
title_fullStr Network structure and urban mobility sustainability: A topological analysis of cities from the urban mobility readiness index
title_full_unstemmed Network structure and urban mobility sustainability: A topological analysis of cities from the urban mobility readiness index
title_sort Network structure and urban mobility sustainability: A topological analysis of cities from the urban mobility readiness index
dc.creator.fl_str_mv Herrera Acevedo, Daniel
Sierra Porta, David
Sierra Porta, David
dc.contributor.author.none.fl_str_mv Herrera Acevedo, Daniel
Sierra Porta, David
Sierra Porta, David
dc.subject.keywords.spa.fl_str_mv Urban mobility
Complex network analysis
Sustainable transportation
Sustainable urban development
Urban planning
Topological data analysis
topic Urban mobility
Complex network analysis
Sustainable transportation
Sustainable urban development
Urban planning
Topological data analysis
LEMB
dc.subject.armarc.none.fl_str_mv LEMB
description In the context of rapid urbanization, efficient and sustainable urban mobility is critical. This study explores the impact of urban network structure and socio-demographic factors on Urban Mobility Readiness (UMRi) across 62 cities worldwide. Using complex network analysis, Principal Component Analysis, and multiple linear regression models, we identify significant relationships between network metrics — such as average node degree, clustering coefficient, and graph diameter — and urban mobility performance. Cities with denser, more interconnected networks tend to achieve higher UMRi scores, indicating better preparedness for modern mobility challenges. Our findings also highlight the importance of economic resources, with GDP per capita emerging as a significant predictor of UMRi. Cities with well-funded and well-designed transportation networks demonstrate stronger performance in terms of mobility readiness and sustainability. Conversely, cities with more dispersed networks face greater challenges in optimizing their transportation systems. These insights underscore the importance of compact, resilient networks that promote accessibility and efficiency. This study emphasizes the critical role of network structure in shaping urban mobility outcomes and offers strategic guidance for enhancing transportation systems in rapidly growing urban areas. Future research should focus on integrating emerging technologies, such as autonomous vehicles and smart city solutions, to further optimize urban mobility. This approach offers a novel perspective on how the structure of urban networks influences the sustainability and efficiency of public transport in diverse urban contexts.
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2025-01-13T18:36:36Z
dc.date.available.none.fl_str_mv 2025-01-13T18:36:36Z
dc.date.issued.none.fl_str_mv 2025-01-13
dc.date.submitted.none.fl_str_mv 2025-01-13
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.citation.spa.fl_str_mv Herrera-Acevedo, D. D., & Sierra-Porta, D. (2024). Network structure and urban mobility sustainability: A topological analysis of cities from the urban mobility readiness index. Sustainable Cities and Society, 106076. https://doi.org/10.1016/j.scs.2024.106076
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12585/13223
dc.identifier.doi.none.fl_str_mv 10.1016/j.scs.2024.106076
dc.identifier.instname.spa.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.spa.fl_str_mv Repositorio Universidad Tecnológica de Bolívar
identifier_str_mv Herrera-Acevedo, D. D., & Sierra-Porta, D. (2024). Network structure and urban mobility sustainability: A topological analysis of cities from the urban mobility readiness index. Sustainable Cities and Society, 106076. https://doi.org/10.1016/j.scs.2024.106076
10.1016/j.scs.2024.106076
Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
url https://hdl.handle.net/20.500.12585/13223
dc.language.iso.spa.fl_str_mv eng
language eng
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dc.format.extent.none.fl_str_mv 10 páginas
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dc.publisher.place.spa.fl_str_mv Cartagena de Indias
dc.publisher.faculty.spa.fl_str_mv Ciencias Básicas
dc.publisher.sede.spa.fl_str_mv Campus Tecnológico
dc.source.spa.fl_str_mv Sustainable Cities and Society
institution Universidad Tecnológica de Bolívar
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spelling Herrera Acevedo, Daniel2f2e14ba-6e9b-4697-a7f7-312414a61c76Sierra Porta, David62fe46fe-2160-4eac-8b0c-89e7fd6ce293Sierra Porta, Davidvirtual::382-12025-01-13T18:36:36Z2025-01-13T18:36:36Z2025-01-132025-01-13Herrera-Acevedo, D. D., & Sierra-Porta, D. (2024). Network structure and urban mobility sustainability: A topological analysis of cities from the urban mobility readiness index. Sustainable Cities and Society, 106076. https://doi.org/10.1016/j.scs.2024.106076https://hdl.handle.net/20.500.12585/1322310.1016/j.scs.2024.106076Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarIn the context of rapid urbanization, efficient and sustainable urban mobility is critical. This study explores the impact of urban network structure and socio-demographic factors on Urban Mobility Readiness (UMRi) across 62 cities worldwide. Using complex network analysis, Principal Component Analysis, and multiple linear regression models, we identify significant relationships between network metrics — such as average node degree, clustering coefficient, and graph diameter — and urban mobility performance. Cities with denser, more interconnected networks tend to achieve higher UMRi scores, indicating better preparedness for modern mobility challenges. Our findings also highlight the importance of economic resources, with GDP per capita emerging as a significant predictor of UMRi. Cities with well-funded and well-designed transportation networks demonstrate stronger performance in terms of mobility readiness and sustainability. Conversely, cities with more dispersed networks face greater challenges in optimizing their transportation systems. These insights underscore the importance of compact, resilient networks that promote accessibility and efficiency. This study emphasizes the critical role of network structure in shaping urban mobility outcomes and offers strategic guidance for enhancing transportation systems in rapidly growing urban areas. Future research should focus on integrating emerging technologies, such as autonomous vehicles and smart city solutions, to further optimize urban mobility. This approach offers a novel perspective on how the structure of urban networks influences the sustainability and efficiency of public transport in diverse urban contexts.10 páginasapplication/pdfengSustainable Cities and SocietyNetwork structure and urban mobility sustainability: A topological analysis of cities from the urban mobility readiness indexArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_b1a7d7d4d402bcceUrban mobilityComplex network analysisSustainable transportationSustainable urban developmentUrban planningTopological data analysisLEMBinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Cartagena de IndiasCiencias BásicasCampus TecnológicoPúblico generalAbdi, H., Williams, L.J., 2010. Principal component analysis. 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