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Modeling of emergency support capacity and optimization of delivery service system for urban living materials under uncertain situations: a case study of Xi’an City during COVID-19 epidemic

The severe acute respiratory syndrome coronavirus 2 (COVID-19) pandemic has brought a heavy burden and severe challenges to the global economy and society, forcing different countries and regions to take various preventive and control measures ranging from normal operations to partial or complete lo...

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Detalles Bibliográficos
Autores principales: Wang, Jianpo, Li, Gang, Wang, Jiaobei, Nie, Qifan, Yu, Yue, Xu, Tingting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789736/
https://www.ncbi.nlm.nih.gov/pubmed/36589308
http://dx.doi.org/10.1007/s43762-022-00076-5
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author Wang, Jianpo
Li, Gang
Wang, Jiaobei
Nie, Qifan
Yu, Yue
Xu, Tingting
author_facet Wang, Jianpo
Li, Gang
Wang, Jiaobei
Nie, Qifan
Yu, Yue
Xu, Tingting
author_sort Wang, Jianpo
collection PubMed
description The severe acute respiratory syndrome coronavirus 2 (COVID-19) pandemic has brought a heavy burden and severe challenges to the global economy and society, forcing different countries and regions to take various preventive and control measures ranging from normal operations to partial or complete lockdowns. Taking Xi’an city as an example, based on multisource POI data for the government’s vegetable storage delivery points, logistics terminal outlets, designated medical institutions, communities, etc., this paper uses the Gaussian two-step floating catchment area method (2SFCA) and other spatial analysis methods to analyze the spatial pattern of emergency support points (ESPs) and express logistics terminals in different situations. It then discusses construction and optimization strategies for urban emergency support and delivery service systems. The conclusions are as follows. (1) The ESPs are supported by large-scale chain supermarkets and fresh supermarkets, which are positively related to the population distribution.The spatial distribution of express logistics terminals is imbalanced, dense in the middle while sparse at the edges. 90% of express terminals are located within a 500 m distance of communities, however, some terminals are shared, which restrict their ability to provide emergency support to surrounding residents. (2) In general, accessibility increases as the number of ESPs increases; under normal traffic, as the distance threshold increases, the available ESPs increase but accessibility slightly decreases; with a traffic lockdown, the travel distance of residents is limited, and as ESPs increase, accessibility and the number of POIs covered significantly increase. (3) The spatial accessibility of the ESPs has a “dumbbell-shaped” distribution, with highest accessibility in the north and south, higher around the second ring road, slightly lower in the center, and lowest near the third ring road at east and west. (4) With the goal of “opening up the logistics artery and unblocking the distribution microcirculation”, based on “ESPs + couriers + express logistics terminals + residents”, this paper proposes to build and optimize the urban emergency support and delivery service system to improve the comprehensive ability of the city to cope with uncertain risks. 
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spelling pubmed-97897362022-12-27 Modeling of emergency support capacity and optimization of delivery service system for urban living materials under uncertain situations: a case study of Xi’an City during COVID-19 epidemic Wang, Jianpo Li, Gang Wang, Jiaobei Nie, Qifan Yu, Yue Xu, Tingting Comput Urban Sci Original Paper The severe acute respiratory syndrome coronavirus 2 (COVID-19) pandemic has brought a heavy burden and severe challenges to the global economy and society, forcing different countries and regions to take various preventive and control measures ranging from normal operations to partial or complete lockdowns. Taking Xi’an city as an example, based on multisource POI data for the government’s vegetable storage delivery points, logistics terminal outlets, designated medical institutions, communities, etc., this paper uses the Gaussian two-step floating catchment area method (2SFCA) and other spatial analysis methods to analyze the spatial pattern of emergency support points (ESPs) and express logistics terminals in different situations. It then discusses construction and optimization strategies for urban emergency support and delivery service systems. The conclusions are as follows. (1) The ESPs are supported by large-scale chain supermarkets and fresh supermarkets, which are positively related to the population distribution.The spatial distribution of express logistics terminals is imbalanced, dense in the middle while sparse at the edges. 90% of express terminals are located within a 500 m distance of communities, however, some terminals are shared, which restrict their ability to provide emergency support to surrounding residents. (2) In general, accessibility increases as the number of ESPs increases; under normal traffic, as the distance threshold increases, the available ESPs increase but accessibility slightly decreases; with a traffic lockdown, the travel distance of residents is limited, and as ESPs increase, accessibility and the number of POIs covered significantly increase. (3) The spatial accessibility of the ESPs has a “dumbbell-shaped” distribution, with highest accessibility in the north and south, higher around the second ring road, slightly lower in the center, and lowest near the third ring road at east and west. (4) With the goal of “opening up the logistics artery and unblocking the distribution microcirculation”, based on “ESPs + couriers + express logistics terminals + residents”, this paper proposes to build and optimize the urban emergency support and delivery service system to improve the comprehensive ability of the city to cope with uncertain risks.  Springer Nature Singapore 2022-12-24 2022 /pmc/articles/PMC9789736/ /pubmed/36589308 http://dx.doi.org/10.1007/s43762-022-00076-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Wang, Jianpo
Li, Gang
Wang, Jiaobei
Nie, Qifan
Yu, Yue
Xu, Tingting
Modeling of emergency support capacity and optimization of delivery service system for urban living materials under uncertain situations: a case study of Xi’an City during COVID-19 epidemic
title Modeling of emergency support capacity and optimization of delivery service system for urban living materials under uncertain situations: a case study of Xi’an City during COVID-19 epidemic
title_full Modeling of emergency support capacity and optimization of delivery service system for urban living materials under uncertain situations: a case study of Xi’an City during COVID-19 epidemic
title_fullStr Modeling of emergency support capacity and optimization of delivery service system for urban living materials under uncertain situations: a case study of Xi’an City during COVID-19 epidemic
title_full_unstemmed Modeling of emergency support capacity and optimization of delivery service system for urban living materials under uncertain situations: a case study of Xi’an City during COVID-19 epidemic
title_short Modeling of emergency support capacity and optimization of delivery service system for urban living materials under uncertain situations: a case study of Xi’an City during COVID-19 epidemic
title_sort modeling of emergency support capacity and optimization of delivery service system for urban living materials under uncertain situations: a case study of xi’an city during covid-19 epidemic
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789736/
https://www.ncbi.nlm.nih.gov/pubmed/36589308
http://dx.doi.org/10.1007/s43762-022-00076-5
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