IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0288510.html

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

Author

Listed:
  • Xike Zhang
  • Jiaqi Gao

Abstract

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.

Suggested Citation

  • Xike Zhang & Jiaqi Gao, 2023. "The analysis and solution for intercity travel behaviors during holidays in the post-epidemic era based on big data," PLOS ONE, Public Library of Science, vol. 18(7), pages 1-18, July.
  • Handle: RePEc:plo:pone00:0288510
    DOI: 10.1371/journal.pone.0288510
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0288510
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0288510&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0288510?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Feiran Wu & Qianxi Zhang & Rob Law & Tianxiang Zheng, 2020. "Fluctuations in Hong Kong Hotel Industry Room Rates under the 2019 Novel Coronavirus (COVID-19) Outbreak: Evidence from Big Data on OTA Channels," Sustainability, MDPI, vol. 12(18), pages 1-17, September.
    2. Haoran Yang & Martin Dijst & Patrick Witte & Hans Van Ginkel & Weiling Yang, 2018. "The Spatial Structure of High Speed Railways and Urban Networks in China: A Flow Approach," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 109(1), pages 109-128, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mengzhi Zou & Changyou Li & Yanni Xiong, 2022. "Analysis of Coupling Coordination Relationship between the Accessibility and Economic Linkage of a High-Speed Railway Network Case Study in Hunan, China," Sustainability, MDPI, vol. 14(13), pages 1-15, June.
    2. Weichen Liu & Jiaying Guo & Wei Wu & Youhui Cao, 2022. "The evolution of regional spatial structure influenced by passenger rail service: A case study of the Yangtze River Delta," Growth and Change, Wiley Blackwell, vol. 53(2), pages 651-679, June.
    3. Huang, Yan & Zong, Huiming, 2022. "The intercity railway connections in China: A comparative analysis of high-speed train and conventional train services," Transport Policy, Elsevier, vol. 120(C), pages 89-103.
    4. Yang, Haoran & Dobruszkes, Frédéric & Wang, Jiaoe & Dijst, Martin & Witte, Patrick, 2018. "Comparing China's urban systems in high-speed railway and airline networks," Journal of Transport Geography, Elsevier, vol. 68(C), pages 233-244.
    5. Maja Štimac & Mario Matković & Daria Karasalihović Sedlar, 2023. "Correlations between Hotel Size and Gas Consumption with a Feasibility Analysis of a Fuel Switch—A Coastal Case Study Croatia Adriatic," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    6. Yechale Mehiret Geremew & Carina Kleynhans, 2025. "Staycation as a Means of Synergising Resilience and Stakeholder Collaboration for Sustainable Tourism Development: A Roadmap for Crisis Management," Sustainability, MDPI, vol. 17(16), pages 1-22, August.
    7. Md. Mazharul Islam & Majed Alharthi, 2022. "Impact of COVID-19 on the Quality of Life of Households in Saudi Arabia," IJERPH, MDPI, vol. 19(3), pages 1-22, January.
    8. Jong, Meng-Chang, 2020. "Empirical Review on Tourism Demand and COVID-19," MPRA Paper 103919, University Library of Munich, Germany.
    9. Yang, Yang & Fan, Yawen & Jiang, Lan & Liu, Xiaohui, 2022. "Search query and tourism forecasting during the pandemic: When and where can digital footprints be helpful as predictors?," Annals of Tourism Research, Elsevier, vol. 93(C).
    10. Qiufang Shi & Xiaoyong Yan & Bin Jia & Ziyou Gao, 2020. "Freight Data-Driven Research on Evaluation Indexes for Urban Agglomeration Development Degree," Sustainability, MDPI, vol. 12(11), pages 1-16, June.
    11. Matsuura, Toshiyuki & Saito, Hisamitsu, 2022. "The COVID-19 pandemic and domestic travel subsidies," Annals of Tourism Research, Elsevier, vol. 92(C).
    12. Wang, Lei, 2018. "High-speed rail services development and regional accessibility restructuring in megaregions: A case of the Yangtze River Delta, China," Transport Policy, Elsevier, vol. 72(C), pages 34-44.
    13. Yang, Haoran & Du, Delin & Wang, Jiaoe & Wang, Xiaomeng & Zhang, Fan, 2023. "Reshaping China's urban networks and their determinants: High-speed rail vs. air networks," Transport Policy, Elsevier, vol. 143(C), pages 83-92.
    14. Lizhen Shen & Xiaorui Lv & Shuyu Zhang & Peipei Chen & Pu Cheng & Shenyu Liu, 2024. "The Structural and Functional Development of an Urban Network System from the Perspective of Flow Space: A Case Study of Nanjing," Land, MDPI, vol. 13(7), pages 1-20, July.
    15. Hu, Zhibin & Wu, Guangdong & Han, Yilong & Niu, Yanliang, 2023. "Unraveling the dynamic changes of high-speed rail network with urban development: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    16. Wang, Jiaoe & Du, Delin & Huang, Jie, 2020. "Inter-city connections in China: High-speed train vs. inter-city coach," Journal of Transport Geography, Elsevier, vol. 82(C).
    17. Zhu, Xinhua & Dai, Chun & Wei, Yigang, 2022. "Does the opening of high-speed railway improve air quality? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    18. Dong-Shang Chang & Wei-De Wu, 2021. "Impact of the COVID-19 Pandemic on the Tourism Industry: Applying TRIZ and DEMATEL to Construct a Decision-Making Model," Sustainability, MDPI, vol. 13(14), pages 1-28, July.
    19. Li, Mingzhen & Li, Hongchang & Wang, Kun & Shen, Shuohua, 2023. "Dynamic network relationship between transportation and urban economy: A case study of China's high-speed rail as a new transportation technology," Research in Transportation Economics, Elsevier, vol. 102(C).
    20. Wang, Jiaoe & Huang, Jie & Jing, Yue, 2020. "Competition between high-speed trains and air travel in China: From a spatial to spatiotemporal perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 62-78.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0288510. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.