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Article: Effects of state-led suburbanization on traffic crash density in China: Evidence from the Chengdu City Proper

TitleEffects of state-led suburbanization on traffic crash density in China: Evidence from the Chengdu City Proper
Authors
KeywordsBuilt environment
State-led suburbanization
Neighborhood-level automobile-involved crash density
Safe urban form
Issue Date2020
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/wps/find/journaldescription.cws_home/336/description#description
Citation
Accident Analysis & Prevention, 2020, v. 148, p. article no. 105775 How to Cite?
AbstractRoad crashes have become a leading cause of death in China. Although enormous efforts have been exerted to determine the factors that affect individual crash incidents, neighborhood-level crash incidence in Chinese cities has not been sufficiently analyzed. This study fills this gap by quantifying the effects of built environment factors on neighborhood-level automobile-involved crash density (NACD) in urban China and identifying its mediators and mediating effects. In American suburbs, urban sprawl is widely recognized to render neighborhoods unsafe for residence, thus leading to a high crash incidence. This study compares the characteristics of built environments between inner-city neighborhoods and the new neighborhoods that have been developed through China’s state-led suburbanization since 2008 to reveal how this suburbanization provides a safer neighborhood environment. A structural equation model is used to examine the relationships among suburbanization, built environment factors, and NACD in the city proper of Chengdu, the largest metropolis in southwest China. Thus, this study contributes new empirical evidence to the debates over urban designs that are safest for traffic. Moreover, this study enriches our understanding of different sociospatial consequences between American-style urban sprawl and China’s state-led suburbanization.
Persistent Identifierhttp://hdl.handle.net/10722/304854
ISSN
2023 Impact Factor: 5.7
2023 SCImago Journal Rankings: 1.897
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorQIAO, S-
dc.contributor.authorYeh, AGO-
dc.contributor.authorZHANG, M-
dc.contributor.authorYAN, X-
dc.date.accessioned2021-10-05T02:36:09Z-
dc.date.available2021-10-05T02:36:09Z-
dc.date.issued2020-
dc.identifier.citationAccident Analysis & Prevention, 2020, v. 148, p. article no. 105775-
dc.identifier.issn0001-4575-
dc.identifier.urihttp://hdl.handle.net/10722/304854-
dc.description.abstractRoad crashes have become a leading cause of death in China. Although enormous efforts have been exerted to determine the factors that affect individual crash incidents, neighborhood-level crash incidence in Chinese cities has not been sufficiently analyzed. This study fills this gap by quantifying the effects of built environment factors on neighborhood-level automobile-involved crash density (NACD) in urban China and identifying its mediators and mediating effects. In American suburbs, urban sprawl is widely recognized to render neighborhoods unsafe for residence, thus leading to a high crash incidence. This study compares the characteristics of built environments between inner-city neighborhoods and the new neighborhoods that have been developed through China’s state-led suburbanization since 2008 to reveal how this suburbanization provides a safer neighborhood environment. A structural equation model is used to examine the relationships among suburbanization, built environment factors, and NACD in the city proper of Chengdu, the largest metropolis in southwest China. Thus, this study contributes new empirical evidence to the debates over urban designs that are safest for traffic. Moreover, this study enriches our understanding of different sociospatial consequences between American-style urban sprawl and China’s state-led suburbanization.-
dc.languageeng-
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/wps/find/journaldescription.cws_home/336/description#description-
dc.relation.ispartofAccident Analysis & Prevention-
dc.subjectBuilt environment-
dc.subjectState-led suburbanization-
dc.subjectNeighborhood-level automobile-involved crash density-
dc.subjectSafe urban form-
dc.titleEffects of state-led suburbanization on traffic crash density in China: Evidence from the Chengdu City Proper-
dc.typeArticle-
dc.identifier.emailYeh, AGO: hdxugoy@hkucc.hku.hk-
dc.identifier.authorityYeh, AGO=rp01033-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.aap.2020.105775-
dc.identifier.pmid33075701-
dc.identifier.scopuseid_2-s2.0-85092604732-
dc.identifier.hkuros326508-
dc.identifier.volume148-
dc.identifier.spagearticle no. 105775-
dc.identifier.epagearticle no. 105775-
dc.identifier.isiWOS:000593687900010-
dc.publisher.placeUnited Kingdom-

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