Evolution of Metro Station-level Travel Behavior in Xi’an, China: a Comparison of Pre, Peri, and Post Pandemic

IF 1.9 4区 社会学 Q3 ENVIRONMENTAL STUDIES
Peikun Li, Wenbo Lu, Chaoqun Ma
{"title":"Evolution of Metro Station-level Travel Behavior in Xi’an, China: a Comparison of Pre, Peri, and Post Pandemic","authors":"Peikun Li,&nbsp;Wenbo Lu,&nbsp;Chaoqun Ma","doi":"10.1007/s12061-025-09681-3","DOIUrl":null,"url":null,"abstract":"<div><p>The COVID-19 pandemic has had a tremendous impact on the lives and travel of all humans, which to some extent has changed human travel behavior of the metro. Therefore, the primary objective of this study was to investigate the spatial-temporal evolutionary characteristics of metro travel behavior in the pre, peri, and post-COVID-19 pandemic periods. Firstly, the stations were categorized into four groups based on passenger flow characteristics, using the K-means algorithm, and the functionality of each category was defined. Secondly, the change between origin-destination (OD) passenger flow and average travel distance of passengers (ATDP) in different COVID-19 periods was analyzed using metro smart card data. Thirdly, the study quantitatively analyzed the relationship between the changes in ATPD of subway passengers and the surrounding land use using the Multiscale Geographically Weighted Regression (MGWR) method and examined the spatial distribution heterogeneity of the local influencing variables. The results demonstrate that the ATDP for all stations decreased dramatically in the peri-COVID-19. Meanwhile, the distribution of OD passenger flows shows the least fluctuation between residential-oriented stations and the fastest recovery of OD passenger flows in the post-COVID-19 period. The analysis results of these changes provide valuable theoretical and empirical support for the implementation of effective epidemic control measures in the post-COVID-19 era and for addressing potential future public health crises in the metro system.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 3","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Spatial Analysis and Policy","FirstCategoryId":"90","ListUrlMain":"https://link.springer.com/article/10.1007/s12061-025-09681-3","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0

Abstract

The COVID-19 pandemic has had a tremendous impact on the lives and travel of all humans, which to some extent has changed human travel behavior of the metro. Therefore, the primary objective of this study was to investigate the spatial-temporal evolutionary characteristics of metro travel behavior in the pre, peri, and post-COVID-19 pandemic periods. Firstly, the stations were categorized into four groups based on passenger flow characteristics, using the K-means algorithm, and the functionality of each category was defined. Secondly, the change between origin-destination (OD) passenger flow and average travel distance of passengers (ATDP) in different COVID-19 periods was analyzed using metro smart card data. Thirdly, the study quantitatively analyzed the relationship between the changes in ATPD of subway passengers and the surrounding land use using the Multiscale Geographically Weighted Regression (MGWR) method and examined the spatial distribution heterogeneity of the local influencing variables. The results demonstrate that the ATDP for all stations decreased dramatically in the peri-COVID-19. Meanwhile, the distribution of OD passenger flows shows the least fluctuation between residential-oriented stations and the fastest recovery of OD passenger flows in the post-COVID-19 period. The analysis results of these changes provide valuable theoretical and empirical support for the implementation of effective epidemic control measures in the post-COVID-19 era and for addressing potential future public health crises in the metro system.

中国西安地铁站级出行行为的演变:流行病前、中、后的比较
新冠肺炎疫情对人类的生活和出行产生了巨大影响,在一定程度上改变了人类的地铁出行行为。因此,本研究的主要目的是研究新冠肺炎大流行前、中期和后期地铁出行行为的时空演化特征。首先,基于客流特征,采用K-means算法将车站划分为4类,并对每一类车站的功能进行定义;其次,利用地铁智能卡数据,分析了不同疫情时期出发地客流(OD)和旅客平均出行距离(ATDP)的变化。第三,采用多尺度地理加权回归(MGWR)方法定量分析地铁乘客ATPD变化与周边土地利用的关系,并检验局部影响变量的空间分布异质性。结果表明,各站点的ATDP在新冠肺炎前后显著下降。同时,OD客流分布在居民站之间波动最小,后疫情时期OD客流恢复最快。这些变化的分析结果为后新冠肺炎时代实施有效的疫情防控措施以及应对未来地铁系统潜在的公共卫生危机提供了有价值的理论和实证支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.80
自引率
5.30%
发文量
57
期刊介绍: Description The journal has an applied focus: it actively promotes the importance of geographical research in real world settings It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace. RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts  Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management.   FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist.   Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信