Year-to-year time allocation and spatial structure of Americans’ daily schedules from 2019 to 2022 and a detailed analysis of the stay-at-home all-day patterns

IF 6.3 1区 工程技术 Q1 ECONOMICS
Hui Shi, Konstadinos G. Goulias
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引用次数: 0

Abstract

While numerous studies have examined the effects of COVID-19 on our lives, few of them take into account the simultaneous changes in people’s daily routines from both time allocation and spatial movement perspectives. Based on the American Time Use Survey, this study proposes a novel methodology that combines sequence analysis and labeled motifs to probe the evolution of individuals’ time allocation and mobility movements from the pre-COVID period to the post-vaccination period using activity-travel sequences and network-like daily combinations of destinations and trips called motifs. Additionally, the relationship between socio-demographic characteristics and the time allocation and spatial movement of people’s daily schedules are investigated using a multinomial logit model and binary logit models. The results show that: (1) each ATUS year (from 2019 to 2022) contains mixed days, work days, and leisure days; (2) most trips decreased and increased proportionally from 2019 to 2022 and have not returned to pre-pandemic levels; (3) the stay-at-home motif shows the highest percentage and Americans tend to follow motifs with fewer destinations; and (4) personal and household characteristics influence people’s time allocation and spatial movements differently at different stages of the pandemic outbreak. Our analysis can assist in predicting travel time to reduce traffic congestion and also the timing of energy consumption to avoid energy demand spikes.
2019年至2022年美国人日常安排的逐年时间分配和空间结构,以及对全天候宅在家中模式的详细分析
尽管已有大量研究探讨了 COVID-19 对我们生活的影响,但很少有研究从时间分配和空间移动的角度考虑到人们日常生活的同步变化。本研究以美国时间使用调查(American Time Use Survey)为基础,提出了一种结合序列分析和标记主题的新方法,利用活动-旅行序列和被称为主题(motifs)的目的地与旅行的网络状日常组合,探究从接种 COVID 前到接种后个人时间分配和移动的演变。此外,还使用多项式 logit 模型和二项式 logit 模型研究了社会人口特征与人们日常日程的时间分配和空间移动之间的关系。结果显示(1) 每个 ATUS 年(从 2019 年到 2022 年)都包含混合日、工作日和休闲日;(2) 从 2019 年到 2022 年,大多数旅行次数按比例减少和增加,且尚未恢复到大流行前的水平;(3) 呆在家里的模式所占比例最高,美国人倾向于遵循目的地较少的模式;(4) 在大流行爆发的不同阶段,个人和家庭特征对人们的时间分配和空间移动的影响不同。我们的分析有助于预测出行时间以减少交通拥堵,也有助于预测能源消耗时间以避免能源需求高峰。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
13.20
自引率
7.80%
发文量
257
审稿时长
9.8 months
期刊介绍: Transportation Research: Part A contains papers of general interest in all passenger and freight transportation modes: policy analysis, formulation and evaluation; planning; interaction with the political, socioeconomic and physical environment; design, management and evaluation of transportation systems. Topics are approached from any discipline or perspective: economics, engineering, sociology, psychology, etc. Case studies, survey and expository papers are included, as are articles which contribute to unification of the field, or to an understanding of the comparative aspects of different systems. Papers which assess the scope for technological innovation within a social or political framework are also published. The journal is international, and places equal emphasis on the problems of industrialized and non-industrialized regions. Part A''s aims and scope are complementary to Transportation Research Part B: Methodological, Part C: Emerging Technologies and Part D: Transport and Environment. Part E: Logistics and Transportation Review. Part F: Traffic Psychology and Behaviour. The complete set forms the most cohesive and comprehensive reference of current research in transportation science.
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