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The analysis and solution for intercity travel behaviors during holidays in the post-epidemic era based on big data

The COVID-19 had a huge impact on the transportation industry. In the post-epidemic stage, intercity transportation will face great challenges as places are unsealed, tourism and other service industries begin to recover, and residents’ travel demand gradually increases. An in-depth study of residen...

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Autores principales: Zhang, Xike, Gao, Jiaqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10355389/
https://www.ncbi.nlm.nih.gov/pubmed/37467244
http://dx.doi.org/10.1371/journal.pone.0288510
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author Zhang, Xike
Gao, Jiaqi
author_facet Zhang, Xike
Gao, Jiaqi
author_sort Zhang, Xike
collection PubMed
description The COVID-19 had a huge impact on the transportation industry. In the post-epidemic stage, intercity transportation will face great challenges as places are unsealed, tourism and other service industries begin to recover, and residents’ travel demand gradually increases. An in-depth study of residents’ intercity travel behavior during holidays in the post-epidemic era will help restore public trust in public transportation and improve the quality of public transportation services. Based on traditional research on ways of travelling, the study adopted the Complex Network Analysis Theory. The city clusters of Shandong Peninsula were taken as the research region. The research studied the impact of the differences in regional attributes of the cities in Shandong Peninsula on residents’ intercity travel in the post-epidemic times. A dynamic evolution model of how residents choose to travel was built to simulate the changes to their ways of traveling in the post-epidemic era under two conditions, which are: traveling under the government’s supervision of intercity travel and traveling under the government’s optimization of intercity travel conditions. The conclusions drawn from the analyses of Complex Network Theory and Evolutionary Game Theory are as follows. First, in the holiday intercity travel in the post-epidemic times, the neighboring cities of Shandong Peninsula are closely connected, thus traveling between neighboring cities dominates intercity travel. Second, the travel network concentration of residents on long-term holidays is lower than that on short-term holidays, and the migration intensity of residents is higher than that on short-term holidays, while the willingness of residents’ migration on short-term holidays is higher than that on long-term holidays. The willingness to migrate on holidays is generally lower than that before the epidemic. Third, in a normal intercity travel network, the travel between two cities with medium and long distances is mainly by public transport. However, the dominance of public transport will be affected under the impact of the epidemic. In short-distance travel between two cities, private transport is in an advantageous position, and under the impact of the epidemic, this advantage will become more significant. The government can improve the position of public transport in short-distance travel by making optimizations.
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spelling pubmed-103553892023-07-20 The analysis and solution for intercity travel behaviors during holidays in the post-epidemic era based on big data Zhang, Xike Gao, Jiaqi PLoS One Research Article The COVID-19 had a huge impact on the transportation industry. In the post-epidemic stage, intercity transportation will face great challenges as places are unsealed, tourism and other service industries begin to recover, and residents’ travel demand gradually increases. An in-depth study of residents’ intercity travel behavior during holidays in the post-epidemic era will help restore public trust in public transportation and improve the quality of public transportation services. Based on traditional research on ways of travelling, the study adopted the Complex Network Analysis Theory. The city clusters of Shandong Peninsula were taken as the research region. The research studied the impact of the differences in regional attributes of the cities in Shandong Peninsula on residents’ intercity travel in the post-epidemic times. A dynamic evolution model of how residents choose to travel was built to simulate the changes to their ways of traveling in the post-epidemic era under two conditions, which are: traveling under the government’s supervision of intercity travel and traveling under the government’s optimization of intercity travel conditions. The conclusions drawn from the analyses of Complex Network Theory and Evolutionary Game Theory are as follows. First, in the holiday intercity travel in the post-epidemic times, the neighboring cities of Shandong Peninsula are closely connected, thus traveling between neighboring cities dominates intercity travel. Second, the travel network concentration of residents on long-term holidays is lower than that on short-term holidays, and the migration intensity of residents is higher than that on short-term holidays, while the willingness of residents’ migration on short-term holidays is higher than that on long-term holidays. The willingness to migrate on holidays is generally lower than that before the epidemic. Third, in a normal intercity travel network, the travel between two cities with medium and long distances is mainly by public transport. However, the dominance of public transport will be affected under the impact of the epidemic. In short-distance travel between two cities, private transport is in an advantageous position, and under the impact of the epidemic, this advantage will become more significant. The government can improve the position of public transport in short-distance travel by making optimizations. Public Library of Science 2023-07-19 /pmc/articles/PMC10355389/ /pubmed/37467244 http://dx.doi.org/10.1371/journal.pone.0288510 Text en © 2023 Zhang, Gao https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zhang, Xike
Gao, Jiaqi
The analysis and solution for intercity travel behaviors during holidays in the post-epidemic era based on big data
title The analysis and solution for intercity travel behaviors during holidays in the post-epidemic era based on big data
title_full The analysis and solution for intercity travel behaviors during holidays in the post-epidemic era based on big data
title_fullStr The analysis and solution for intercity travel behaviors during holidays in the post-epidemic era based on big data
title_full_unstemmed The analysis and solution for intercity travel behaviors during holidays in the post-epidemic era based on big data
title_short The analysis and solution for intercity travel behaviors during holidays in the post-epidemic era based on big data
title_sort analysis and solution for intercity travel behaviors during holidays in the post-epidemic era based on big data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10355389/
https://www.ncbi.nlm.nih.gov/pubmed/37467244
http://dx.doi.org/10.1371/journal.pone.0288510
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