Spatiotemporal access to emergency medical services in Wuhan, China: accounting for scene and transport time intervals

Abstract Background Access as a primary indicator of Emergency Medical Service (EMS) efficiency has been widely studied over the last few decades. Most previous studies considered one-way trips, either getting ambulances to patients or transporting patients to hospitals. This research assesses spati...

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Main Authors: Weicong Luo, Jing Yao, Richard Mitchell, Xiaoxiang Zhang
Format: Article
Language:English
Published: BMC 2020-11-01
Series:International Journal of Health Geographics
Subjects:
EMS
GIS
Online Access:http://link.springer.com/article/10.1186/s12942-020-00249-7
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spelling doaj-6309a309f03241dabf7cd2de9559c3d82020-11-26T12:49:50ZengBMCInternational Journal of Health Geographics1476-072X2020-11-0119111410.1186/s12942-020-00249-7Spatiotemporal access to emergency medical services in Wuhan, China: accounting for scene and transport time intervalsWeicong Luo0Jing Yao1Richard Mitchell2Xiaoxiang Zhang3Centre for Sustainable, Healthy and Learning Cities and Neighbourhoods, University of GlasgowCentre for Sustainable, Healthy and Learning Cities and Neighbourhoods, University of GlasgowCentre for Sustainable, Healthy and Learning Cities and Neighbourhoods, University of GlasgowUrban Big Data Centre, School of Social & Political Sciences, University of GlasgowAbstract Background Access as a primary indicator of Emergency Medical Service (EMS) efficiency has been widely studied over the last few decades. Most previous studies considered one-way trips, either getting ambulances to patients or transporting patients to hospitals. This research assesses spatiotemporal access to EMS at the shequ (the smallest administrative unit) level in Wuhan, China, attempting to fill a gap in literature by considering and comparing both trips in the evaluation of EMS access. Methods Two spatiotemporal access measures are adopted here: the proximity-based travel time obtained from online map services and the enhanced two-step floating catchment area (E-2SFCA) which is a gravity-based model. First, the travel time is calculated for the two trips involved in one EMS journey: one is from the nearest EMS station to the scene (i.e. scene time interval (STI)) and the other is from the scene to the nearest hospital (i.e. transport time interval (TTI)). Then, the predicted travel time is incorporated into the E-2SFCA model to calculate the access measure considering the availability of the service provider as well as the population in need. For both access measures, the calculation is implemented for peak hours and off-peak hours. Results Both methods showed a marked decrease in EMS access during peak traffic hours, and differences in spatial patterns of ambulance and hospital access. About 73.9% of shequs can receive an ambulance or get to the nearest hospital within 10 min during off-peak periods, and this proportion decreases to about 45.5% for peak periods. Most shequs with good ambulance access but poor hospital access are in the south of the study area. In general, the central areas have better ambulance, hospital and overall access than peripheral areas, particularly during off-peak periods. Conclusions In addition to the impact of peak traffic periods on EMS access, we found that good ambulance access does not necessarily guarantee good hospital access nor the overall access, and vice versa.http://link.springer.com/article/10.1186/s12942-020-00249-7Spatiotemporal accessEMSGISOnline map servicesE-2SFCA
collection DOAJ
language English
format Article
sources DOAJ
author Weicong Luo
Jing Yao
Richard Mitchell
Xiaoxiang Zhang
spellingShingle Weicong Luo
Jing Yao
Richard Mitchell
Xiaoxiang Zhang
Spatiotemporal access to emergency medical services in Wuhan, China: accounting for scene and transport time intervals
International Journal of Health Geographics
Spatiotemporal access
EMS
GIS
Online map services
E-2SFCA
author_facet Weicong Luo
Jing Yao
Richard Mitchell
Xiaoxiang Zhang
author_sort Weicong Luo
title Spatiotemporal access to emergency medical services in Wuhan, China: accounting for scene and transport time intervals
title_short Spatiotemporal access to emergency medical services in Wuhan, China: accounting for scene and transport time intervals
title_full Spatiotemporal access to emergency medical services in Wuhan, China: accounting for scene and transport time intervals
title_fullStr Spatiotemporal access to emergency medical services in Wuhan, China: accounting for scene and transport time intervals
title_full_unstemmed Spatiotemporal access to emergency medical services in Wuhan, China: accounting for scene and transport time intervals
title_sort spatiotemporal access to emergency medical services in wuhan, china: accounting for scene and transport time intervals
publisher BMC
series International Journal of Health Geographics
issn 1476-072X
publishDate 2020-11-01
description Abstract Background Access as a primary indicator of Emergency Medical Service (EMS) efficiency has been widely studied over the last few decades. Most previous studies considered one-way trips, either getting ambulances to patients or transporting patients to hospitals. This research assesses spatiotemporal access to EMS at the shequ (the smallest administrative unit) level in Wuhan, China, attempting to fill a gap in literature by considering and comparing both trips in the evaluation of EMS access. Methods Two spatiotemporal access measures are adopted here: the proximity-based travel time obtained from online map services and the enhanced two-step floating catchment area (E-2SFCA) which is a gravity-based model. First, the travel time is calculated for the two trips involved in one EMS journey: one is from the nearest EMS station to the scene (i.e. scene time interval (STI)) and the other is from the scene to the nearest hospital (i.e. transport time interval (TTI)). Then, the predicted travel time is incorporated into the E-2SFCA model to calculate the access measure considering the availability of the service provider as well as the population in need. For both access measures, the calculation is implemented for peak hours and off-peak hours. Results Both methods showed a marked decrease in EMS access during peak traffic hours, and differences in spatial patterns of ambulance and hospital access. About 73.9% of shequs can receive an ambulance or get to the nearest hospital within 10 min during off-peak periods, and this proportion decreases to about 45.5% for peak periods. Most shequs with good ambulance access but poor hospital access are in the south of the study area. In general, the central areas have better ambulance, hospital and overall access than peripheral areas, particularly during off-peak periods. Conclusions In addition to the impact of peak traffic periods on EMS access, we found that good ambulance access does not necessarily guarantee good hospital access nor the overall access, and vice versa.
topic Spatiotemporal access
EMS
GIS
Online map services
E-2SFCA
url http://link.springer.com/article/10.1186/s12942-020-00249-7
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AT richardmitchell spatiotemporalaccesstoemergencymedicalservicesinwuhanchinaaccountingforsceneandtransporttimeintervals
AT xiaoxiangzhang spatiotemporalaccesstoemergencymedicalservicesinwuhanchinaaccountingforsceneandtransporttimeintervals
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