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Urban commuting dynamics in response to public transit upgrades: A big data approach

Public transit, especially urban rail systems, plays a vital role in shaping commuting patterns. Compared with census data and survey data, large-scale and real-time big data can track the impacts of urban policy implementations at finer spatial and temporal scales. Therefore, this study proposed a...

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Autores principales: Gao, Qi-Li, Li, Qing-Quan, Zhuang, Yan, Yue, Yang, Liu, Zhen-Zhen, Li, Shui-Quan, Sui, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797187/
https://www.ncbi.nlm.nih.gov/pubmed/31622370
http://dx.doi.org/10.1371/journal.pone.0223650
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author Gao, Qi-Li
Li, Qing-Quan
Zhuang, Yan
Yue, Yang
Liu, Zhen-Zhen
Li, Shui-Quan
Sui, Daniel
author_facet Gao, Qi-Li
Li, Qing-Quan
Zhuang, Yan
Yue, Yang
Liu, Zhen-Zhen
Li, Shui-Quan
Sui, Daniel
author_sort Gao, Qi-Li
collection PubMed
description Public transit, especially urban rail systems, plays a vital role in shaping commuting patterns. Compared with census data and survey data, large-scale and real-time big data can track the impacts of urban policy implementations at finer spatial and temporal scales. Therefore, this study proposed a multi-level analytical framework using transit smartcard data to examine urban commuting dynamics in response to rail transit upgrades. The study area was Shenzhen, one of the most highly urbanized and densely populated cities in China, which provides the opportunity to examine the effects of rail transit upgrades on commuting patterns in a rapidly developing urban context. Changes in commuting patterns were examined at three levels: city, region, and individual. At the city level, we considered the average commuting time, commuting speed, and commuting distance across the whole city. At the region level, we analyzed changes in the job accessibility of residential zones. Finally, this study evaluated the potential effects of rail transit upgrades on the jobs-housing relationship at the individual level. Difference-in-difference models were used for causal inference between rail transit upgrades and commuting patterns. In the very short term, the opening of new rail transit lines resulted in no significant changes in overall commuting patterns across the whole city; however, two effects of rail transit upgrades on commuting patterns were identified. First, rail transit upgrades enhanced regional connectivity between residential zones and employment centers, thus improving job accessibility. Second, rail transit improvement increased the commuting distances of individuals and contributed to the separation of workplaces and residences. This study provides meaningful insights into the effects of rail transit upgrades on commuting patterns.
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spelling pubmed-67971872019-10-25 Urban commuting dynamics in response to public transit upgrades: A big data approach Gao, Qi-Li Li, Qing-Quan Zhuang, Yan Yue, Yang Liu, Zhen-Zhen Li, Shui-Quan Sui, Daniel PLoS One Research Article Public transit, especially urban rail systems, plays a vital role in shaping commuting patterns. Compared with census data and survey data, large-scale and real-time big data can track the impacts of urban policy implementations at finer spatial and temporal scales. Therefore, this study proposed a multi-level analytical framework using transit smartcard data to examine urban commuting dynamics in response to rail transit upgrades. The study area was Shenzhen, one of the most highly urbanized and densely populated cities in China, which provides the opportunity to examine the effects of rail transit upgrades on commuting patterns in a rapidly developing urban context. Changes in commuting patterns were examined at three levels: city, region, and individual. At the city level, we considered the average commuting time, commuting speed, and commuting distance across the whole city. At the region level, we analyzed changes in the job accessibility of residential zones. Finally, this study evaluated the potential effects of rail transit upgrades on the jobs-housing relationship at the individual level. Difference-in-difference models were used for causal inference between rail transit upgrades and commuting patterns. In the very short term, the opening of new rail transit lines resulted in no significant changes in overall commuting patterns across the whole city; however, two effects of rail transit upgrades on commuting patterns were identified. First, rail transit upgrades enhanced regional connectivity between residential zones and employment centers, thus improving job accessibility. Second, rail transit improvement increased the commuting distances of individuals and contributed to the separation of workplaces and residences. This study provides meaningful insights into the effects of rail transit upgrades on commuting patterns. Public Library of Science 2019-10-17 /pmc/articles/PMC6797187/ /pubmed/31622370 http://dx.doi.org/10.1371/journal.pone.0223650 Text en © 2019 Gao et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gao, Qi-Li
Li, Qing-Quan
Zhuang, Yan
Yue, Yang
Liu, Zhen-Zhen
Li, Shui-Quan
Sui, Daniel
Urban commuting dynamics in response to public transit upgrades: A big data approach
title Urban commuting dynamics in response to public transit upgrades: A big data approach
title_full Urban commuting dynamics in response to public transit upgrades: A big data approach
title_fullStr Urban commuting dynamics in response to public transit upgrades: A big data approach
title_full_unstemmed Urban commuting dynamics in response to public transit upgrades: A big data approach
title_short Urban commuting dynamics in response to public transit upgrades: A big data approach
title_sort urban commuting dynamics in response to public transit upgrades: a big data approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797187/
https://www.ncbi.nlm.nih.gov/pubmed/31622370
http://dx.doi.org/10.1371/journal.pone.0223650
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