IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v9y2022i1d10.1057_s41599-022-01349-4.html
   My bibliography  Save this article

COVID-19 confines recreational gatherings in Seoul to familiar, less crowded, and neighboring urban areas

Author

Listed:
  • Jisung Yoon

    (Kellogg School of Management at Northwestern University
    Northwestern Institute on Complex Systems
    Pohang University of Science and Technology)

  • Woo-Sung Jung

    (Pohang University of Science and Technology
    Pohang University of Science and Technology)

  • Hyunuk Kim

    (Boston University)

Abstract

Recreational gatherings are sources of the spread of infectious diseases. Understanding the dynamics of recreational gatherings is essential to building effective public health policies but challenging as the interaction between people and recreational places is complex. Recreational activities are concentrated in a set of urban areas and establish a recreational hierarchy. In this hierarchy, higher-level regions attract more people than lower-level regions for recreational purposes. Here, using customers’ motel booking records which are highly associated with recreational activities in Korea, we identify that recreational hierarchy, geographical distance, and attachment to a location are crucial factors of recreational gatherings in Seoul, Republic of Korea. Our analyses show that after the COVID-19 outbreak, people are more likely to visit familiar recreational places, avoid the highest level of the recreational hierarchy, and travel close distances. Interestingly, the recreational visitations were reduced not only in the highest but also in low-level regions. Urban areas at low levels of the recreational hierarchy were more severely affected by COVID-19 than urban areas at high and middle levels of the recreational hierarchy.

Suggested Citation

  • Jisung Yoon & Woo-Sung Jung & Hyunuk Kim, 2022. "COVID-19 confines recreational gatherings in Seoul to familiar, less crowded, and neighboring urban areas," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-8, December.
  • Handle: RePEc:pal:palcom:v:9:y:2022:i:1:d:10.1057_s41599-022-01349-4
    DOI: 10.1057/s41599-022-01349-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-022-01349-4
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-022-01349-4?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rajneesh Narula, 2020. "Policy opportunities and challenges from the COVID-19 pandemic for economies with large informal sectors," Journal of International Business Policy, Palgrave Macmillan, vol. 3(3), pages 302-310, September.
    2. Serina Chang & Emma Pierson & Pang Wei Koh & Jaline Gerardin & Beth Redbird & David Grusky & Jure Leskovec, 2021. "Mobility network models of COVID-19 explain inequities and inform reopening," Nature, Nature, vol. 589(7840), pages 82-87, January.
    3. Jaehyuk Park & Ian Wood & Elise Jing & Azadeh Nematzadeh & Souvik Ghosh & Michael Conover & Yong-Yeol Ahn, 2019. "Global labor flow network reveals the hierarchical organization and dynamics of geo-industrial clusters in the world economy," Papers 1902.04613, arXiv.org, revised Mar 2019.
    4. Vincent Verbavatz & Marc Barthelemy, 2020. "The growth equation of cities," Nature, Nature, vol. 587(7834), pages 397-401, November.
    5. Hevia, Constantino & Macera, Manuel & Neumeyer, Pablo Andrés, 2022. "Covid-19 in unequal societies," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    6. Storz, Cornelia & Riboldazzi, Federico & John, Moritz, 2015. "Mobility and innovation: A cross-country comparison in the video games industry," Research Policy, Elsevier, vol. 44(1), pages 121-137.
    7. Aleix Bassolas & Hugo Barbosa-Filho & Brian Dickinson & Xerxes Dotiwalla & Paul Eastham & Riccardo Gallotti & Gourab Ghoshal & Bryant Gipson & Surendra A. Hazarie & Henry Kautz & Onur Kucuktunc & Alli, 2019. "Hierarchical organization of urban mobility and its connection with city livability," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    8. Jaehyuk Park & Ian B. Wood & Elise Jing & Azadeh Nematzadeh & Souvik Ghosh & Michael D. Conover & Yong-Yeol Ahn, 2019. "Global labor flow network reveals the hierarchical organization and dynamics of geo-industrial clusters," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    9. Pierre Nouvellet & Sangeeta Bhatia & Anne Cori & Kylie E. C. Ainslie & Marc Baguelin & Samir Bhatt & Adhiratha Boonyasiri & Nicholas F. Brazeau & Lorenzo Cattarino & Laura V. Cooper & Helen Coupland &, 2021. "Reduction in mobility and COVID-19 transmission," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    10. Camille Roth & Soong Moon Kang & Michael Batty & Marc Barthélemy, 2011. "Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows," PLOS ONE, Public Library of Science, vol. 6(1), pages 1-8, January.
    11. Qi Zhang & Xinxin Zhang & Qi Cui & Weining Cao & Ling He & Yexin Zhou & Xiaofan Li & Yunpeng Fan, 2022. "The Unequal Effect of the COVID-19 Pandemic on the Labour Market and Income Inequality in China: A Multisectoral CGE Model Analysis Coupled with a Micro-Simulation Approach," IJERPH, MDPI, vol. 19(3), pages 1-21, January.
    12. Thomas Louail & Maxime Lenormand & Miguel Picornell & Oliva García Cantú & Ricardo Herranz & Enrique Frias-Martinez & José J. Ramasco & Marc Barthelemy, 2015. "Uncovering the spatial structure of mobility networks," Nature Communications, Nature, vol. 6(1), pages 1-8, May.
    13. Réka Albert & Hawoong Jeong & Albert-László Barabási, 2000. "Error and attack tolerance of complex networks," Nature, Nature, vol. 406(6794), pages 378-382, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Takahiro Yabe & Bernardo García Bulle Bueno & Xiaowen Dong & Alex Pentland & Esteban Moro, 2023. "Behavioral changes during the COVID-19 pandemic decreased income diversity of urban encounters," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    2. Kaixin Zhu & Zhifeng Cheng & Jianghao Wang, 2024. "Measuring Chinese mobility behaviour during COVID-19 using geotagged social media data," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.

    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. Battisti, Michele & Gatto, Massimo Del & Parmeter, Christopher F., 2022. "Skill-biased technical change and labor market inefficiency," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    2. Ruiqi Li & Lingyun Lu & Weiwei Gu & Shaodong Ma & Gang Xu & H. Eugene Stanley, 2020. "Assessing the attraction of cities on venture capital from a scaling law perspective," Papers 2011.06287, arXiv.org.
    3. Xujia Wang & Billy Sung & Ian Phau, 2024. "How rarity and exclusivity influence types of perceived value for luxury," Journal of Brand Management, Palgrave Macmillan, vol. 31(6), pages 576-592, November.
    4. Li, Ze-Tao & Nie, Wei-Peng & Cai, Shi-Min & Zhao, Zhi-Dan & Zhou, Tao, 2023. "Exploring the topological characteristics of urban trip networks based on taxi trajectory data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    5. Bai, Ling & Xiong, Long & Zhao, Na & Xia, Ke & Jiang, Xiong-Fei, 2022. "Dynamical structure of social map in ancient China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    6. He, Xuan & Zhao, Hai & Cai, Wei & Li, Guang-Guang & Pei, Fan-Dong, 2015. "Analyzing the structure of earthquake network by k-core decomposition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 34-43.
    7. László Lőrincz & Guilherme Kenji Chihaya & Anikó Hannák & Dávid Takács & Balázs Lengyel & Rikard Eriksson, 2020. "Global Connections And The Structure Of Skills In Local Co-Worker Networks," CERS-IE WORKING PAPERS 2034, Institute of Economics, Centre for Economic and Regional Studies.
    8. Kathyrn R. Fair & Omar A. Guerrero, 2023. "Endogenous Labour Flow Networks," Papers 2301.07979, arXiv.org, revised Mar 2023.
    9. Zhang, Sheng & Yu, Ran & Wen, Zuhui & Xu, Jiayu & Liu, Peihan & Zhou, Yunqiao & Zheng, Xiaoqi & Wang, Lei & Hao, Jiming, 2023. "Impact of labor and energy allocation imbalance on carbon emission efficiency in China's industrial sectors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    10. Zhang, Wenjia & Wu, Yulin & Deng, Guobang, 2024. "Social and spatial disparities in individuals’ mobility response time to COVID-19: A big data analysis incorporating changepoint detection and accelerated failure time models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).
    11. Zhang, Yuerong & Marshall, Stephen & Manley, Ed, 2019. "Network criticality and the node-place-design model: Classifying metro station areas in Greater London," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    12. Lorenzo Amir Nemati Fard & Michele Starnini & Michele Tizzoni, 2023. "Modeling adaptive forward-looking behavior in epidemics on networks," Papers 2301.04947, arXiv.org.
    13. Lv, Ying-Yue & Yan, Xiao-Yong & Jia, Bin & Yang, Yitao & Liu, Erjian, 2024. "Quantifying the overall spatial distribution characteristics of urban heavy truck trips: The case of China," Journal of Transport Geography, Elsevier, vol. 115(C).
    14. Bo Huang & Zhihui Huang & Chen Chen & Jian Lin & Tony Tam & Yingyi Hong & Sen Pei, 2022. "Social vulnerability amplifies the disparate impact of mobility on COVID-19 transmissibility across the United States," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    15. O’Clery, Neave & Kinsella, Stephen, 2022. "Modular structure in labour networks reveals skill basins," Research Policy, Elsevier, vol. 51(5).
    16. Pengjun Zhao & Hao Wang & Qiyang Liu & Xiao-Yong Yan & Jingzhong Li, 2024. "Unravelling the spatial directionality of urban mobility," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    17. Masahiko Haraguchi & Akihiko Nishino & Akira Kodaka & Maura Allaire & Upmanu Lall & Liao Kuei-Hsien & Kaya Onda & Kota Tsubouchi & Naohiko Kohtake, 2022. "Human mobility data and analysis for urban resilience: A systematic review," Environment and Planning B, , vol. 49(5), pages 1507-1535, June.
    18. Zihao Yang & Ramayya Krishnan & Beibei Li, 2024. "The Interplay Between Individual Mobility, Health Risk, and Economic Choice: A Holistic Model for COVID-19 Policy Intervention," INFORMS Joural on Data Science, INFORMS, vol. 3(1), pages 6-27, April.
    19. Xiu, Chen & Lis, Anna Maria, 2024. "Collaborative development model and strategies of multi-energy industry clusters: Multi-indicators analysis affecting the development of coastal energy clusters," Energy, Elsevier, vol. 295(C).
    20. Bíl, Michal & Vodák, Rostislav & Kubeček, Jan & Bílová, Martina & Sedoník, Jiří, 2015. "Evaluating road network damage caused by natural disasters in the Czech Republic between 1997 and 2010," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 90-103.

    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:pal:palcom:v:9:y:2022:i:1:d:10.1057_s41599-022-01349-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .

    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.