IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0295950.html

The balance between traffic control and economic development in tourist cities under the context of COVID-19: A case study of Xi’an, China

Author

Listed:
  • Wang Xiang
  • Zezhi Wang
  • Xin Pan
  • Xiaobing Liu
  • Xuedong Yan
  • Li Chen

Abstract

Selecting an appropriate intensity of epidemic prevention and control measures is of vital significance to promoting the two-way dynamic coordination of epidemic prevention and control and economic development. In order to balance epidemic control and economic development and suggest scientific and reasonable traffic control measures, this paper proposes a SEIQR model considering population migration and the propagation characteristics of the exposed and the asymptomatic, based on the data of COVID-19 cases, Baidu Migration, and the tourist economy. Further, the factor traffic control intensity is included in the model. After determining the functional relationship between the control intensity and the number of tourists and the cumulative number of confirmed cases, the NSGA-II algorithm is employed to perform multi-objective optimization with consideration of the requirements for epidemic prevention and control and for economic development to get an appropriate traffic control intensity and suggest scientific traffic control measures. With Xi’an City as an example. The results show that the Pearson correlation coefficient between the predicted data of this improved model and the actual data is 0.996, the R-square in the regression analysis is 0.993, with a significance level of below 0.001, suggesting that the predicted data of the model are more accurate. With the continuous rise of traffic control intensity in different simulation scenarios, the cumulative number of cases decreases by a significant amplitude. While balancing the requirements for epidemic prevention and control and for tourist economy development, the model works out the control intensity to be 0.68, under which some traffic control measures are suggested. The model presented in this paper can be used to analyze the impacts of different traffic control intensities on epidemic transmission. The research results in this paper reveal the traffic control measures balancing the requirements for epidemic prevention and control and for economic development.

Suggested Citation

  • Wang Xiang & Zezhi Wang & Xin Pan & Xiaobing Liu & Xuedong Yan & Li Chen, 2024. "The balance between traffic control and economic development in tourist cities under the context of COVID-19: A case study of Xi’an, China," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-24, January.
    • Handle: RePEc:plo:pone00:0295950
    DOI: 10.1371/journal.pone.0295950
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0295950
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0295950&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0295950?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. Xu-Liang Zhang & Zhao-Hui Zhang & Zong-Jun Xu & Ge Li & Qing Sun & Xue-Jing Hou, 2013. "Sea ice disasters and their impacts since 2000 in Laizhou Bay of Bohai Sea, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(1), pages 27-40, January.
    2. Wang Xiang & Li Chen & Qunjie Peng & Bing Wang & Xiaobing Liu, 2022. "How Effective Is a Traffic Control Policy in Blocking the Spread of COVID-19? A Case Study of Changsha, China," IJERPH, MDPI, vol. 19(13), pages 1-17, June.
    3. Fernández-Morales, Antonio & Cisneros-Martínez, José David & McCabe, Scott, 2016. "Seasonal concentration of tourism demand: Decomposition analysis and marketing implications," Tourism Management, Elsevier, vol. 56(C), pages 172-190.
    4. Kerry Liu, 2021. "COVID-19 and the Chinese economy: impacts, policy responses and implications," International Review of Applied Economics, Taylor & Francis Journals, vol. 35(2), pages 308-330, March.
    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. Xiaowei Jiang & Brandon Mastromartino & Qian Yang & Jianwei Zhang & James J. Zhang, 2022. "Influence of Consumer Interaction and Community Relationships on Value Co-Creation Willingness: A Mediation Model of Chinese Sports Brands," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    2. Kenichi Shimamoto, 2019. "Examining the Seasonality of Travel-Related Expenditure by Travel Purpose: The Case of Japan," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 12(1), pages 55-72.
    3. Zhu Pengcheng, 2022. "A Study of Factor of Housing Costs and Cost Effectiveness of Real Estate Enterprises in China," International Journal of Science and Business, IJSAB International, vol. 6(1), pages 43-57.
    4. Turrión Prats, Judith & Duro Moreno, Juan Antonio, 2017. "Seasonality Determinants for the Main Markets in Spain," Working Papers 2072/306517, Universitat Rovira i Virgili, Department of Economics.
    5. Martínez, José Manuel Guaita & Martín, José María Martín & Rey, María del Sol Ostos, 2020. "An analysis of the changes in the seasonal patterns of tourist behavior during a process of economic recovery," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    6. Zheng, Jingling & Li, Zeyun & Ghardallou, Wafa & Wei, Xuecheng, 2023. "Natural resources and economic performance: Understanding the volatilities caused by financial, political and economic risk in the context of China," Resources Policy, Elsevier, vol. 84(C).
    7. Lau, Pong-Lung & Koo, Tay T.R. & Dwyer, Larry, 2017. "Metrics to measure the geographic characteristics of tourism markets: An integrated approach based on Gini index decomposition," Tourism Management, Elsevier, vol. 59(C), pages 171-181.
    8. Yu Yan & Kaiyue Huang & Dongdong Shao & Yingjun Xu & Wei Gu, 2019. "Monitoring the Characteristics of the Bohai Sea Ice Using High-Resolution Geostationary Ocean Color Imager (GOCI) Data," Sustainability, MDPI, vol. 11(3), pages 1-17, February.
    9. Dimitrios Tsiotas & Thomas Krabokoukis & Serafeim Polyzos, 2021. "Detecting Tourism Typologies of Regional Destinations Based on Their Spatio-Temporal and Socioeconomic Performance: A Correlation-Based Complex Network Approach for the Case of Greece," Tourism and Hospitality, MDPI, vol. 2(1), pages 1-27, February.
    10. Rosselló, Jaume & Sansó, Andreu, 2017. "Yearly, monthly and weekly seasonality of tourism demand: A decomposition analysis," Tourism Management, Elsevier, vol. 60(C), pages 379-389.
    11. Dimitrios TSIOTAS & Thomas KRABOKOUKIS & Serafeim POLYZOS, 2020. "Detecting Interregional Patterns In Tourism Seasonality Of Greece: A Principal Components Analysis Approach," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 91-112, June.
    12. Xiaoran Huang & Demiao Yu, 2023. "Assessment of Regional Health Resource Carrying Capacity and Security in Public Health Emergencies Based on the COVID-19 Outbreak," IJERPH, MDPI, vol. 20(3), pages 1-27, January.
    13. Dupont-Sinhsattanak, Alexandre, 2026. "Modernizing a giant: assessing the impact of military-civil fusion on innovation in China’s defence-technological industry," LSE Research Online Documents on Economics 127136, London School of Economics and Political Science, LSE Library.
    14. Thomas KRABOKOUKIS & Serafeim POLYZOS, 2022. "Drawing An Indicator Of Tourism Competitiveness And Examining Its Relationship With Tourism Seasonality For The Greek Prefectures," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 55-70, June.
    15. Hwasung Song & Miseong Kim & Chanyul Park, 2020. "Temporal Distribution as a Solution for Over-Tourism in Night Tourism: The Case of Suwon Hwaseong in South Korea," Sustainability, MDPI, vol. 12(6), pages 1-14, March.
    16. Greta Falavigna & Roberto Ippoliti, 2022. "Relief Policy and the Sustainability of COVID-19 Pandemic: Empirical Evidence from the Italian Manufacturing Industry," Sustainability, MDPI, vol. 14(22), pages 1-12, November.
    17. Tao Lian & Shamsheer ul Haq & Pomi Shahbaz & Lei Zhao & Muhammad Nadeem & Babar Aziz, 2022. "Changing Food Patterns during the Pandemic: Exploring the Role of Household Dynamics and Income Stabilization Strategies," Sustainability, MDPI, vol. 15(1), pages 1-20, December.
    18. Ganchev, Alexander, 2023. "The Behaviour of Chinese Government Bond Yield Curve before and during the COVID-19 Pandemic," MPRA Paper 117626, University Library of Munich, Germany.
    19. Christina Bampatsou & George Halkos & Olga-Helen Astara, 2022. "Composite indicators in evaluating tourism performance and seasonality," Operational Research, Springer, vol. 22(3), pages 2373-2396, July.
    20. Duro Moreno, Juan Antonio & Turrión Prats, Judith, 2018. "Tourism seasonality worldwide," Working Papers 2072/351586, Universitat Rovira i Virgili, Department of Economics.

    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:pone00:0295950. 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.