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

Jianpo Wang; Gang Li; Jiaobei Wang; Qifan Nie; Yue Yu; Tingting Xu

doi:10.1007/s43762-022-00076-5

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

Comput Urban Sci. 2022;2(1):47. doi: 10.1007/s43762-022-00076-5. Epub 2022 Dec 24.

Authors

Jianpo Wang^{1

2}, Gang Li^{1

3}, Jiaobei Wang¹, Qifan Nie⁴, Yue Yu¹, Tingting Xu¹

Affiliations

¹ College of Urban and Environmental Sciences, Northwest University, 710127 Xi'an, China.
² Xi'an Public Security Bureau, 710000 Xi'an, China.
³ Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Northwest University, 710127 Xi'an, China.
⁴ Department of Civil, Construction and Environmental Engineering, The University of Alabama, 35487 Tuscaloosa, AL USA.

Abstract

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.

Keywords: COVID-19; Emergency support and delivery system; Emergency support points; Express logistics terminal; Spatial accessibility.