Activity Duration under the COVID-19 Pandemic: A Comparative Analysis among Different Urbanized Areas Using a Hazard-Based Duration Model

Author:

Liu Chunguang1,Zuo Xinyu1,Gu Xiaoning2,Shao Mengru3,Chen Chao2

Affiliation:

1. Don School, International Education College, Shandong Jiaotong University, Jinan 250357, China

2. State Key Laboratory of Structural Analysis for Industrial Equipment, School of Automotive Engineering, Dalian University of Technology, Dalian 116024, China

3. Urban Planning and Transportation, Department of the Built Environment, Eindhoven University of Technology, 5600MB Eindhoven, The Netherlands

Abstract

There have been significant changes in daily activities and corresponding durations since the outbreak of COVID-19. This study examines how the built environment factors and individual/household characteristics affect activity durations (e.g., shopping, social-related, hiking, and working) under the COVID-19 pandemic and analyzes the heterogeneity between different urbanized areas using the data of a Dutch national travel survey in 2020. A hazard-based duration model (e.g., the Cox proportional hazard model) was used to predict activity durations. Estimation results showed that the activity durations for different social groups varied under different geographical and policy conditions. In particular, women and seniors are more susceptible to the unprecedented pandemic, manifested in significantly shorter durations for work and hiking activities. In addition, couples with one or more children need to shorten their working hours and give more attention to their children due to the closure of nurseries and schools. Furthermore, the influences of built environment factors also present significant differences. A higher number of service facilities does not significantly foster the extension of hiking activity duration; however, this is the opposite among regions with more open green areas. Compared with previous studies on analyzing the influencing factors of activity durations, this study incorporated some unique variables (e.g., COVID-19 countermeasures and urban class) to consider the temporal and spatial heterogeneity under the particular pandemic period.

Funder

China Scholarship Council

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference85 articles.

1. Statistics on the Hopkins Outbreak in the USA (2021, October 03). TRACKING: Follow Global Cases and Trends, Updated Daily. Available online: https://coronavirus.jhu.edu/data.

2. Shelat, S., Cats, O., and van Cranenburgh, S. (2021). Avoiding the Crowd: Traveller Behaviour in Public Transport in the Age of COVID-19. arXiv.

3. Exploring the impacts of COVID-19 on travel behavior and mode preferences;Abdullah;Transp. Res. Interdiscip. Perspect.,2020

4. COVID-19 and Travel: How Our Out-of-home Travel Activity, In-home Activity, and Long-Distance Travel Have Changed;Fatmi;Transp. Res. Interdiscip. Perspect.,2021

5. Social and spatial heterogeneities in COVID-19 impacts on individual’s metro use: A big-data driven causality inference;Liu;Appl. Geogr.,2023

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