COVID-19 对公交乘客量的影响评估:北京地铁案例研究

IF 1.7 4区 工程技术 Q4 TRANSPORTATION
Zijia Wang, Rui Guo, Linmu Zou, Tie Li, Xiangming Yao
{"title":"COVID-19 对公交乘客量的影响评估:北京地铁案例研究","authors":"Zijia Wang, Rui Guo, Linmu Zou, Tie Li, Xiangming Yao","doi":"10.1007/s40864-024-00224-6","DOIUrl":null,"url":null,"abstract":"<p>A comprehensive understanding of the multifaceted ramifications of the coronavirus disease 2019 (COVID-19) on transit ridership is imperative for the optimization of judicious traffic management policies. The intricate influences of this pandemic exhibit a high degree of complexity, dynamically evolving across spatial and temporal dimensions. At present, a nuanced understanding remains elusive regarding whether disparate influencing factors govern inbound and outbound passenger flows. This study propels the discourse forward by introducing a methodological synthesis that integrates time series anomaly detection, impact inference, and spatiotemporal analysis. This amalgamation establishes an analytical framework instrumental in elucidating the spatiotemporal heterogeneity intrinsic to individual impact events, grounded in extensive time series data. The resulting framework facilitates a nuanced delineation, affording a more precise extraction of the COVID-19 impact on subway ridership. Empirical findings derived from the daily trip data of the Beijing subway in 2020 substantiate the existence of conspicuous spatiotemporal variability in the determinants influencing relative shifts in inbound and outbound ridership. Notably, stations situated in high-risk areas manifest a conspicuous absence of correlation with outbound trips, exhibiting a discernibly negative impact solely on inbound trips. Conversely, stations servicing residential and enterprise locales demonstrate resilience, evincing an absence of significant perturbation induced by the outbreak.</p>","PeriodicalId":44861,"journal":{"name":"Urban Rail Transit","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact Evaluation of COVID-19 on Transit Ridership: A Case Study of the Beijing Subway\",\"authors\":\"Zijia Wang, Rui Guo, Linmu Zou, Tie Li, Xiangming Yao\",\"doi\":\"10.1007/s40864-024-00224-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>A comprehensive understanding of the multifaceted ramifications of the coronavirus disease 2019 (COVID-19) on transit ridership is imperative for the optimization of judicious traffic management policies. The intricate influences of this pandemic exhibit a high degree of complexity, dynamically evolving across spatial and temporal dimensions. At present, a nuanced understanding remains elusive regarding whether disparate influencing factors govern inbound and outbound passenger flows. This study propels the discourse forward by introducing a methodological synthesis that integrates time series anomaly detection, impact inference, and spatiotemporal analysis. This amalgamation establishes an analytical framework instrumental in elucidating the spatiotemporal heterogeneity intrinsic to individual impact events, grounded in extensive time series data. The resulting framework facilitates a nuanced delineation, affording a more precise extraction of the COVID-19 impact on subway ridership. Empirical findings derived from the daily trip data of the Beijing subway in 2020 substantiate the existence of conspicuous spatiotemporal variability in the determinants influencing relative shifts in inbound and outbound ridership. Notably, stations situated in high-risk areas manifest a conspicuous absence of correlation with outbound trips, exhibiting a discernibly negative impact solely on inbound trips. Conversely, stations servicing residential and enterprise locales demonstrate resilience, evincing an absence of significant perturbation induced by the outbreak.</p>\",\"PeriodicalId\":44861,\"journal\":{\"name\":\"Urban Rail Transit\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Urban Rail Transit\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s40864-024-00224-6\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"TRANSPORTATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Rail Transit","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s40864-024-00224-6","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0

摘要

要优化明智的交通管理政策,就必须全面了解 2019 年冠状病毒病(COVID-19)对公交乘客造成的多方面影响。这种流行病的影响错综复杂,在空间和时间维度上动态演变。目前,对于进出境客流是否受不同影响因素的制约,仍缺乏细致入微的了解。本研究通过引入一种将时间序列异常检测、影响推断和时空分析融为一体的综合方法,推动了相关讨论的发展。这种融合建立了一个分析框架,有助于以大量时间序列数据为基础,阐明单个影响事件内在的时空异质性。由此产生的框架有助于进行细致入微的划分,从而更精确地提取 COVID-19 对地铁乘客的影响。从 2020 年北京地铁每日出行数据中得出的经验性结论证实,影响进出站乘客量相对变化的决定因素存在明显的时空差异性。值得注意的是,位于高风险区域的车站与出站人次明显不相关,仅对进站人次有明显的负面影响。相反,为居民区和企业提供服务的车站则表现出弹性,表明疫情没有造成重大干扰。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Impact Evaluation of COVID-19 on Transit Ridership: A Case Study of the Beijing Subway

Impact Evaluation of COVID-19 on Transit Ridership: A Case Study of the Beijing Subway

A comprehensive understanding of the multifaceted ramifications of the coronavirus disease 2019 (COVID-19) on transit ridership is imperative for the optimization of judicious traffic management policies. The intricate influences of this pandemic exhibit a high degree of complexity, dynamically evolving across spatial and temporal dimensions. At present, a nuanced understanding remains elusive regarding whether disparate influencing factors govern inbound and outbound passenger flows. This study propels the discourse forward by introducing a methodological synthesis that integrates time series anomaly detection, impact inference, and spatiotemporal analysis. This amalgamation establishes an analytical framework instrumental in elucidating the spatiotemporal heterogeneity intrinsic to individual impact events, grounded in extensive time series data. The resulting framework facilitates a nuanced delineation, affording a more precise extraction of the COVID-19 impact on subway ridership. Empirical findings derived from the daily trip data of the Beijing subway in 2020 substantiate the existence of conspicuous spatiotemporal variability in the determinants influencing relative shifts in inbound and outbound ridership. Notably, stations situated in high-risk areas manifest a conspicuous absence of correlation with outbound trips, exhibiting a discernibly negative impact solely on inbound trips. Conversely, stations servicing residential and enterprise locales demonstrate resilience, evincing an absence of significant perturbation induced by the outbreak.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Urban Rail Transit
Urban Rail Transit Multiple-
CiteScore
3.10
自引率
6.70%
发文量
20
审稿时长
5 weeks
期刊介绍: Urban Rail Transit is a peer-reviewed, international, interdisciplinary and open-access journal published under the SpringerOpen brand that provides a platform for scientists, researchers and engineers of urban rail transit to publish their original, significant articles on topics in urban rail transportation operation and management, design and planning, civil engineering, equipment and systems and other related topics to urban rail transit. It is to promote the academic discussions and technical exchanges among peers in the field. The journal also reports important news on the development and operating experience of urban rail transit and related government policies, laws, guidelines, and regulations. It could serve as an important reference for decision¬makers and technologists in urban rail research and construction field. Specific topics cover: Column I: Urban Rail Transportation Operation and Management • urban rail transit flow theory, operation, planning, control and management • traffic and transport safety • traffic polices and economics • urban rail management • traffic information management • urban rail scheduling • train scheduling and management • strategies of ticket price • traffic information engineering & control • intelligent transportation system (ITS) and information technology • economics, finance, business & industry • train operation, control • transport Industries • transportation engineering Column II: Urban Rail Transportation Design and Planning • urban rail planning • pedestrian studies • sustainable transport engineering • rail electrification • rail signaling and communication • Intelligent & Automated Transport System Technology ? • rolling stock design theory and structural reliability • urban rail transit electrification and automation technologies • transport Industries • transportation engineering Column III: Civil Engineering • civil engineering technologies • maintenance of rail infrastructure • transportation infrastructure systems • roads, bridges, tunnels, and underground engineering ? • subgrade and pavement maintenance and performance Column IV: Equipments and Systems • mechanical-electronic technologies • manufacturing engineering • inspection for trains and rail • vehicle-track coupling system dynamics, simulation and control • superconductivity and levitation technology • magnetic suspension and evacuated tube transport • railway technology & engineering • Railway Transport Industries • transport & vehicle engineering Column V: other topics of interest • modern tram • interdisciplinary transportation research • environmental impacts such as vibration, noise and pollution Article types: • Papers. Reports of original research work. • Design notes. Brief contributions on current design, development and application work; not normally more than 2500 words (3 journal pages), including descriptions of apparatus or techniques developed for a specific purpose, important experimental or theoretical points and novel technical solutions to commonly encountered problems. • Rapid communications. Brief, urgent announcements of significant advances or preliminary accounts of new work, not more than 3500 words (4 journal pages). The most important criteria for acceptance of a rapid communication are novel and significant. For these articles authors must state briefly, in a covering letter, exactly why their works merit rapid publication. • Review articles. These are intended to summarize accepted practice and report on recent progress in selected areas. Such articles are generally commissioned from experts in various field s by the Editorial Board, but others wishing to write a review article may submit an outline for preliminary consideration.
×
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:481959085
Book学术官方微信