A GIS-based analytical framework for evaluating the effect of COVID-19 on the restaurant industry with big data

作     者：Siqin Wang Ruomei Wang Xiao Huang Zhenlong Li Shuming Bao 

作者机构：School of Earth and Environmental SciencesUniversity of QueenslandBrisbaneQueenslandAustralia Graduate School of Interdisciplinary Information StudiesUniversity of TokyoTokyoJapan Department of GeosciencesUniversity of ArkansasAnn ArborMichiganUSA Geoinformation and Big Data Research LaboratoryDepartment of GeographyUniversity of South CarolinaSouth CarolinaUSA China Data InstituteMichiganUSA 

出 版 物：《Big Earth Data》 (地球大数据（英文）)

年 卷 期：2023年第7卷第1期

页      面：37-58页

核心收录：

学科分类：1205[管理学-图书情报与档案管理] 12[管理学] 120203[管理学-旅游管理] 1202[管理学-工商管理] 1002[医学-临床医学] 1001[医学-基础医学(可授医学、理学学位)] 08[工学] 0835[工学-软件工程] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This study was funded by the National Science Foundation(Grant#2028791) 

主　　题：COVID-19 pandemic effect restaurant visitation human mobility New York City 

摘      要：COVID-19 cripples the restaurant industry as a crucial socioeconomic sector that contributes immensely to the global ***,what the current literature less explored is to quantify the effect of COVID-19 on restaurant visitation and revenue at different spatial scales,as well as its relationship with the neighborhood character-istics of customers’*** on the Point of Interest(POI)measures derived from SafeGraph data providing mobility records of 45 million cell phone users in the US,our study takes Lower Manhattan,New York City,as the pilot study,and aims to examine 1)the change of restaurant visitations and revenue in the period prior to and after the COVID-19 outbreak,2)the areas where restaurant customers live,and 3)the association between the neighborhood characteristics of these areas and lost *** doing so,we provide a geographic information system-based analytical frame-work integrating the big data mining,web crawling techniques,and spatial-economic *** analytical framework can be implemented to estimate the broader effect of COVID-19 on other industries and can be augmented in a financially monitoring manner in response to future pandemics or public emergencies.