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Impact of traffic on the spatiotemporal variations of spatial accessibility of emergency medical services in inner-city Shanghai

Bibliographic Data

ID21246855
AuthorsWenyan Hu (0000-0001-7088-3310), Jinkai Tan (0000-0001-8003-7214), Mengya Li (0009-0007-1835-9782), Jun Wang (0000-0003-4485-7201, East China Normal University, corresponding author), J F Wang (0009-0005-2033-0052, East China Normal University), Fahui Wang (0000-0001-7152-2226, Louisiana State University)
Year2020
Volume47
Issue5
Pages841-854
Publication date2020-06-01
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning B Urban Analytics and City Science (JOURNAL)
Journal identifiersISSN: 2399-8083 • E-ISSN: 2399-8091
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/2399808318809711
OpenAlexW2901957090
LanguageEN
Citations received11
References cited26

Variability in spatial accessibility of emergency medical services has become a major concern in evaluating the quality of emergency medical services in China. Unlike some other public services, response time is critical in the provision of emergency medical services. Traffic congestion may significantly affect response time, especially in large cities. This study uses a transportation simulation model to estimate the travel time under free-flow and congested road conditions and measure the corresponding spatial accessibility of emergency medical services for various hours of a day in inner-city Shanghai. When traffic congestion is considered, the overall spatial accessibility is significantly reduced, and the effect is further magnified in certain congested areas. The results help policy makers in planning the emergency medical services resource that is sensitive to the spatiotemporal variation of its accessibility

Business · China · Economic growth · Environmental planning · Geography · Inner city · Medical emergency · Medical services · Traffic congestion · Transport engineering · Travel time · Computer Science · Engineering · Medicine · Traffic and Road Safety · Transportation Planning and Optimization · Urban Transport and Accessibility · Emergency Medical Services

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Citations per year1.83
Citation span2020 - 2026 (7)
Highly citedNo

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