不确定情况下城市生活物资应急保障能力建模与配送服务体系优化——以新冠肺炎疫情期间西安市为例

IF 2.6 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational urban science Pub Date : 2022-01-01 DOI:10.1007/s43762-022-00076-5
Jianpo Wang, Gang Li, Jiaobei Wang, Qifan Nie, Yue Yu, Tingting Xu
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引用次数: 1

摘要

新冠肺炎疫情给全球经济社会带来沉重负担和严峻挑战,各国和地区纷纷采取从正常运行到部分或完全封锁的各种防控措施。本文以西安市为例,基于政府蔬菜储运点、物流终端网点、定点医疗机构、社区等多源POI数据,采用高斯两步浮动集水区法(2SFCA)等空间分析方法,分析不同情况下应急保障点(ESPs)和快递物流终端的空间格局。探讨了城市应急保障与交付服务体系的构建与优化策略。研究结论如下。(1)大型连锁超市和生鲜超市对esp的支持与人口分布呈正相关。快递物流终端的空间分布不平衡,中间密集,边缘稀疏。90%的快递终端位于距离社区500米的范围内,然而,一些终端是共用的,这限制了它们向周围居民提供紧急支持的能力。(2)总体上,可达性随esp数量的增加而增加;正常流量下,随着距离阈值的增大,可用esp值增加,可达性略有降低;交通封锁限制了居民的出行距离,随着esp的增加,可达性和覆盖的poi数量显著增加。③空间可达性呈“哑铃形”分布,南北可达性最高,二环周边可达性较高,中部略低,东西三环附近可达性最低。(4)以“打通物流大动脉,疏通配送微循环”为目标,以“快递商+快递员+快递物流终端+居民”为基础,构建优化城市应急保障配送服务体系,提高城市应对不确定风险的综合能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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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 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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