How COVID-19 Impacts Chinese Travelers’ Mobility Decision-Making Processes: A Bayesian Network Model

The outbreak of the COVID-19 pandemic has a multi-faceted impact on the mobility of travelers. Current research has not yet explained the internal mechanisms of travelers’ mobility changes during the pandemic. The Bayesian network is considered to be an effective method to describe the causality bet...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Junyi, Zhai, Xueting, Luo, Qiuju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798073/
http://dx.doi.org/10.1007/978-3-030-65785-7_53
_version_ 1783634986795008000
author Wang, Junyi
Zhai, Xueting
Luo, Qiuju
author_facet Wang, Junyi
Zhai, Xueting
Luo, Qiuju
author_sort Wang, Junyi
collection PubMed
description The outbreak of the COVID-19 pandemic has a multi-faceted impact on the mobility of travelers. Current research has not yet explained the internal mechanisms of travelers’ mobility changes during the pandemic. The Bayesian network is considered to be an effective method to describe the causality between the factors and output of a system. Thus, this paper established a Bayesian network model to analyze the impact of COVID-19 on Chinese travelers’ mobility decision–making processes. The model for the traveler mobility decision-making process is built on both a qualitative and quantitative analysis of travelers’ self-narration articles. Results show that official information, traffic information, family structure, and social interaction networks are the key factors affecting Chinese travelers’ mobility.
format Online
Article
Text
id pubmed-7798073
institution National Center for Biotechnology Information
language English
publishDate 2020
record_format MEDLINE/PubMed
spelling pubmed-77980732021-01-11 How COVID-19 Impacts Chinese Travelers’ Mobility Decision-Making Processes: A Bayesian Network Model Wang, Junyi Zhai, Xueting Luo, Qiuju Information and Communication Technologies in Tourism 2021 Article The outbreak of the COVID-19 pandemic has a multi-faceted impact on the mobility of travelers. Current research has not yet explained the internal mechanisms of travelers’ mobility changes during the pandemic. The Bayesian network is considered to be an effective method to describe the causality between the factors and output of a system. Thus, this paper established a Bayesian network model to analyze the impact of COVID-19 on Chinese travelers’ mobility decision–making processes. The model for the traveler mobility decision-making process is built on both a qualitative and quantitative analysis of travelers’ self-narration articles. Results show that official information, traffic information, family structure, and social interaction networks are the key factors affecting Chinese travelers’ mobility. 2020-11-28 /pmc/articles/PMC7798073/ http://dx.doi.org/10.1007/978-3-030-65785-7_53 Text en © The Author(s) 2021 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
spellingShingle Article
Wang, Junyi
Zhai, Xueting
Luo, Qiuju
How COVID-19 Impacts Chinese Travelers’ Mobility Decision-Making Processes: A Bayesian Network Model
title How COVID-19 Impacts Chinese Travelers’ Mobility Decision-Making Processes: A Bayesian Network Model
title_full How COVID-19 Impacts Chinese Travelers’ Mobility Decision-Making Processes: A Bayesian Network Model
title_fullStr How COVID-19 Impacts Chinese Travelers’ Mobility Decision-Making Processes: A Bayesian Network Model
title_full_unstemmed How COVID-19 Impacts Chinese Travelers’ Mobility Decision-Making Processes: A Bayesian Network Model
title_short How COVID-19 Impacts Chinese Travelers’ Mobility Decision-Making Processes: A Bayesian Network Model
title_sort how covid-19 impacts chinese travelers’ mobility decision-making processes: a bayesian network model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798073/
http://dx.doi.org/10.1007/978-3-030-65785-7_53
work_keys_str_mv AT wangjunyi howcovid19impactschinesetravelersmobilitydecisionmakingprocessesabayesiannetworkmodel
AT zhaixueting howcovid19impactschinesetravelersmobilitydecisionmakingprocessesabayesiannetworkmodel
AT luoqiuju howcovid19impactschinesetravelersmobilitydecisionmakingprocessesabayesiannetworkmodel

Ejemplares similares