Analysis of shopping behavior characteristics in the Keihanshin metropolitan area in Japan based on a person trip survey
作者机构：Department of Human Factors Engineering and Environmental DesignFaculty of Biology-Oriented Science and TechnologyKindai UniversityKinokawaWakayamaJapan
出 版 物：《Geo-Spatial Information Science》 (地球空间信息科学学报（英文）)
年 卷 期：2020年第23卷第4期
页 面：305-315页
核心收录：
学科分类：0303[法学-社会学] 02[经济学] 0202[经济学-应用经济学] 0709[理学-地质学] 08[工学] 081203[工学-计算机应用技术] 020202[经济学-区域经济学] 0708[理学-地球物理学] 0705[理学-地理学] 0813[工学-建筑学] 0833[工学-城乡规划学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：This work was supported by Kindai University under a Faculty Assistance and Development Research Grant in 2018[grant number SR09] This study was supported by Joint Research Program No.690 at Center for Spatial Information Science(CSIS),The University of Tokyo.
主 题：Person trip survey shopping behavior transportation means travel time duration of time at a destination
摘 要：This study analyzed weekday shopping behavior from a home base to a destination using data from the 4th Keihanshin metropolitan area person trip survey.We first analyzed the relationships between occupation and transportation means,transportation means and travel time,and transportation means and duration of time at the destination.Results of a chi-square test,residual analysis,and correspondence analysis confirmed that employed persons tend to travel by cars while unemployed persons tend to travel by bus or walk.The relationship between travel time and duration of time at the destination was also revealed according to transportation means.Results of a cluster analysis then classified shopping behaviors to expose four patterns.Finally,multiple regression analyzed the degree to which certain variables were related to duration of time at the destination.Results confirmed a strong relationship between duration of time at the destination and travel time.The degree of this factor’s influence on other variables was also clarified.The value of these findings is that the relationship between travel time by means of transportation and the duration of time at the destination was clarified using statistical analysis.We then found a highly accurate equation that estimates the duration of time at a destination from the travel time.If the duration of time at a destination can be estimated,it may be possible to more accurately develop the structure of rest facilities,the number of parking lots,the degree of congestion,and so on,which can be associated with the customer’s usage behavior in a shopping site.This research in this paper contributes to the field of urban analysis and marketing by presenting a new effective method for person trip survey and analysis.
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