Non-commuting intentions during COVID-19 in Nanjing, China: A hybrid latent class modeling approach-Reference-Cited by-同舟云学术

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Non-commuting intentions during COVID-19 in Nanjing, China: A hybrid latent class modeling approach

Published:2023-06 Issue: Volume:137 Page:104341
ISSN:0264-2751
Container-title:Cities
language:en
Short-container-title:Cities

Author:

Ma Xinwei,Zhang Shuai,Zhu Minqing,Wu Tao,He Mingjia,Cui Hongjun

Funder

National Natural Science Foundation of China

Department of Education of Hebei Province

Publisher

Elsevier BV

Subject

Tourism, Leisure and Hospitality Management,Urban Studies,Sociology and Political Science,Development

Reference125 articles.

1. Exploring the traveler’s intentions to use public transport during the COVID-19 pandemic while complying with precautionary measures;Abdullah;Applied Sciences,2021

2. Measuring changes in travel behavior pattern due to COVID-19 in a developing country: A case study of Pakistan;Abdullah;Transport Policy,2021

3. Public transport versus solo travel mode choices during the COVID-19 pandemic: Self-reported evidence from a developing country;Abdullah;Transportation Engineering,2021

4. Exploring the impacts of COVID-19 on travel behavior and mode preferences;Abdullah;Transportation Research Interdisciplinary Perspectives,2020

5. Mobility change in Delhi due to COVID and its’ immediate and long term impact on demand with intervened non motorized transport friendly infrastructural policies;Advani;Transport Policy,2021

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Commuting Behavior Changes at Different Stages of Localized COVID-19 Outbreak: Evidence from Nanjing, China;Systems;2024-07-28

2. The Effects of the COVID-19 Pandemic on the Modal Shifting Utilising a Latent Class Choice Model with Covariates;Promet - Traffic&Transportation;2024-06-20

3. Resident Preferences for Urban Green Spaces in Response to Pandemic Public Health Emergency: A Case Study of Shanghai;Sustainability;2024-04-29

4. Incorporating mobile phone data-based travel mobility analysis of metro ridership in aboveground and underground layers;Electronic Research Archive;2024

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