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远程办公和网购对出行的影响:基于出行链的分析

Impacts of teleworking and online shopping on travel: a tour-based analysis.

作者信息

Shah Harsh, Carrel Andre L, Le Huyen T K

机构信息

Department of Civil, Environmental, and Geodetic Engineering, The Ohio State University, Columbus, OH USA.

Knowlton School of Architecture, City and Regional Planning Section, The Ohio State University, Columbus, OH USA.

出版信息

Transportation (Amst). 2022 Aug 24:1-29. doi: 10.1007/s11116-022-10321-9.

DOI:10.1007/s11116-022-10321-9
PMID:36033420
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9399593/
Abstract

Large-scale adoption of telemobility, such as teleworking and online shopping, has affected travel patterns significantly. The impacts of teleworking and online shopping on travel have been studied separately and with trip-level analyses, thereby ignoring tour complexity, trip chaining, and activity scheduling. We aim to address this gap by investigating the interactions between online shopping, teleworking, and travel at a tour level, considering trip chaining and the importance of the activities involved. We classify tours into mandatory (e.g., travel for work, school), maintenance (e.g., travel for grocery shopping, appointments, errands), and discretionary (e.g., travel for non-grocery shopping, leisure, religious activities) tours according to the primary activity purpose. We then estimate a structural equation model using a one-week activity-travel diary from the 2019 Puget Sound Regional Travel Study. The results indicate that teleworking reduced mandatory and maintenance tours while increasing online shopping. Mandatory tours were negatively associated with both maintenance tours and online shopping, whereas the number of maintenance tours was positively associated with the number of discretionary tours. We did not find a statistically significant relationship between online shopping, maintenance tours, and discretionary tours. Overall, this study offers new insights into the effect of teleworking and online shopping on travel, with potential implications for travel demand modeling and management, as well as for the design of travel surveys that take such virtual activities into account.

摘要

远程移动性的大规模采用,如远程工作和网上购物,已对出行模式产生了重大影响。远程工作和网上购物对出行的影响已分别进行研究,并采用行程层面的分析方法,从而忽略了出行的复杂性、行程衔接以及活动安排。我们旨在通过在出行层面研究网上购物、远程工作与出行之间的相互作用来填补这一空白,同时考虑行程衔接以及所涉活动的重要性。根据主要活动目的,我们将出行分为强制性出行(如上班、上学出行)、维持性出行(如去杂货店购物、赴约、跑腿出行)和自主性出行(如非杂货店购物、休闲、宗教活动出行)。然后,我们使用2019年普吉特海湾地区出行研究中的一周活动 - 出行日记估计了一个结构方程模型。结果表明,远程工作减少了强制性出行和维持性出行,同时增加了网上购物。强制性出行与维持性出行和网上购物均呈负相关,而维持性出行的次数与自主性出行的次数呈正相关。我们没有发现网上购物、维持性出行和自主性出行之间存在统计学上的显著关系。总体而言,本研究为远程工作和网上购物对出行的影响提供了新的见解,对出行需求建模与管理以及考虑此类虚拟活动的出行调查设计具有潜在意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81df/9399593/97a63399a74b/11116_2022_10321_Fig8_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81df/9399593/745dc9cfbe2e/11116_2022_10321_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81df/9399593/97a63399a74b/11116_2022_10321_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81df/9399593/7b6b19ba6949/11116_2022_10321_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81df/9399593/cd136f76da61/11116_2022_10321_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81df/9399593/2fcf9148d1e3/11116_2022_10321_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81df/9399593/dff777fed63b/11116_2022_10321_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81df/9399593/459bb0235b08/11116_2022_10321_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81df/9399593/745dc9cfbe2e/11116_2022_10321_Fig7_HTML.jpg
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