IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i11p6478-d824785.html
   My bibliography  Save this article

Spatial Disparity of Visitors Changes during Particulate Matter Warning Using Big Data Focused on Seoul, Korea

Author

Listed:
  • Sang-Hyeok Lee

    (Department of Urban Planning and Engineering, Pusan National University, Busan 46241, Korea)

  • Jung Eun Kang

    (Department of Urban Planning and Engineering, Pusan National University, Busan 46241, Korea)

Abstract

This study examined the changes in the number of visitors to regions during periods of high particulate matter (PM) concentrations in Seoul and analyzed the regional differences of these changes. Further, it examined the spatial characteristics that affect these regional differences. This study mapped the regional differences by conducting a spatial cluster analysis using GIS and examined factors affecting the regional differences using logistic regression analysis. The visiting population data used in this study were obtained from the Big Data on the de facto population measured every hour at mobile base stations, and all analyses were conducted in terms of weekdays and weekends. The results indicated that the visiting population decreases significantly on weekdays when there are high PM concentrations; however, visits increase on weekends, even during periods of high PM concentrations. Moreover, there was a huge regional gap in visiting population changes. Regions with more commercial use, higher bus accessibility, and better pedestrian environment (pedestrian paths, Walk Score) were more likely to be hotspots, whereas regions with high residential and industrial use were more likely to be cold spots. These results can be used as the basic data for PM policies based on regional characteristics.

Suggested Citation

  • Sang-Hyeok Lee & Jung Eun Kang, 2022. "Spatial Disparity of Visitors Changes during Particulate Matter Warning Using Big Data Focused on Seoul, Korea," IJERPH, MDPI, vol. 19(11), pages 1-16, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6478-:d:824785
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/11/6478/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/11/6478/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gerking, Shelby & Stanley, Linda R, 1986. "An Economic Analysis of Air Pollution and Health: The Case of St. Louis," The Review of Economics and Statistics, MIT Press, vol. 68(1), pages 115-121, February.
    2. Jennifer D Roberts & Jameson D Voss & Brandon Knight, 2014. "The Association of Ambient Air Pollution and Physical Inactivity in the United States," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-10, March.
    3. Hyunju Kang & Hyunduk Suh & Jongmin Yu, 2019. "Does Air Pollution Affect Consumption Behavior? Evidence from Korean Retail Sales," Asian Economic Journal, East Asian Economic Association, vol. 33(3), pages 235-251, September.
    4. Juyoung Song & Tae Min Song, 2019. "Social Big-Data Analysis of Particulate Matter, Health, and Society," IJERPH, MDPI, vol. 16(19), pages 1-17, September.
    5. Shiwei Lu & Chaoyang Shi & Xiping Yang, 2019. "Impacts of Built Environment on Urban Vitality: Regression Analyses of Beijing and Chengdu, China," IJERPH, MDPI, vol. 16(23), pages 1-16, November.
    6. Bin Chen & Yimeng Song & Tingting Jiang & Ziyue Chen & Bo Huang & Bing Xu, 2018. "Real-Time Estimation of Population Exposure to PM 2.5 Using Mobile- and Station-Based Big Data," IJERPH, MDPI, vol. 15(4), pages 1-14, March.
    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. Se-Hak Chun & Joong-Wha Kim, 2024. "A Study on the Relationship of PM 10 between China and Korea Using Big Data for a Sustainable Environment," Sustainability, MDPI, vol. 16(12), pages 1-12, June.

    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. Cinzia Di Novi, 2007. "An Economic Evaluation of Life-Style and Air-pollution-related Damages: Results from the BRFSS," JEPS Working Papers 07-001, JEPS.
    2. Wang, Xiaoxi & Zhang, Yaojun & Yu, Danlin & Qi, Jinghan & Li, Shujing, 2022. "Investigating the spatiotemporal pattern of urban vibrancy and its determinants: Spatial big data analyses in Beijing, China," Land Use Policy, Elsevier, vol. 119(C).
    3. Hongjun Yu & Jiali Cheng & Shelby Paige Gordon & Ruopeng An & Miao Yu & Xiaodan Chen & Qingli Yue & Jun Qiu, 2018. "Impact of Air Pollution on Sedentary Behavior: A Cohort Study of Freshmen at a University in Beijing, China," IJERPH, MDPI, vol. 15(12), pages 1-12, December.
    4. Leslie Richardson & John B. Loomis & Patricia A. Champ, 2013. "Valuing Morbidity from Wildfire Smoke Exposure: A Comparison of Revealed and Stated Preference Techniques," Land Economics, University of Wisconsin Press, vol. 89(1), pages 76-100.
    5. George B. Cunningham & Pamela Wicker & Brian P. McCullough, 2020. "Pollution, Health, and the Moderating Role of Physical Activity Opportunities," IJERPH, MDPI, vol. 17(17), pages 1-15, August.
    6. Henri L. F. De Groot & Gert‐Jan Linders & Piet Rietveld & Uma Subramanian, 2004. "The Institutional Determinants of Bilateral Trade Patterns," Kyklos, Wiley Blackwell, vol. 57(1), pages 103-123, February.
    7. Wei-Hua Qu & Guo-Hua Qu & Xin-Dong Zhang & Zhi-Jun Yan, 2018. "Effects of private car ownership, economic growth and medical services on healthcare expenditure in China: a dynamic panel data analysis," 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. 93(1), pages 167-188, August.
    8. Eleftherios Giovanis & Oznur Ozdamar & Sahizer Samuk, 2021. "Health status and willingness-to-pay estimates for the benefits of improved recycling rates: evidence from Great Britain," SN Business & Economics, Springer, vol. 1(1), pages 1-28, January.
    9. Mark Agee & Thomas Crocker, 2008. "Does parents’ valuation of children’s health mimic their valuation of own health?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 21(1), pages 231-249, January.
    10. Cropper, Maureen L & Oates, Wallace E, 1992. "Environmental Economics: A Survey," Journal of Economic Literature, American Economic Association, vol. 30(2), pages 675-740, June.
    11. Jinyao Lin & Yaye Zhuang & Yang Zhao & Hua Li & Xiaoyu He & Siyan Lu, 2022. "Measuring the Non-Linear Relationship between Three-Dimensional Built Environment and Urban Vitality Based on a Random Forest Model," IJERPH, MDPI, vol. 20(1), pages 1-18, December.
    12. Bruno Lanz, 2015. "Avertive expenditures, endogenous quality perception, and the demand for public goods: An instrumental variable approach," CIES Research Paper series 36-2015, Centre for International Environmental Studies, The Graduate Institute.
    13. Bruno Lanz & Allan Provins, 2014. "The demand for tap water quality: Survey evidence on water hardness and aesthetic quality," CIES Research Paper series 23-2014, Centre for International Environmental Studies, The Graduate Institute.
    14. Mark D. Agee & Thomas D. Crocker, 2002. "On Techniques to Value the Impact of Environmental Hazards on Children's Health," NCEE Working Paper Series 200208, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Sep 2002.
    15. Zhuoran Shan & Hongfei Li & Haolan Pan & Man Yuan & Shen Xu, 2022. "Spatial Equity of PM 2.5 Pollution Exposures in High-Density Metropolitan Areas Based on Remote Sensing, LBS and GIS Data: A Case Study in Wuhan, China," IJERPH, MDPI, vol. 19(19), pages 1-22, October.
    16. Sujitra Vassanadumrongdee & Shunji Matsuoka & Hiroaki Shirakawa, 2004. "Meta-analysis of contingent valuation studies on air pollution-related morbidity risks," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 6(1), pages 11-47, March.
    17. Wei Chen & Jian Chen & Guopeng Yin, 2022. "Exploring side effects of ridesharing services in urban China: role of pollution–averting behavior," Electronic Commerce Research, Springer, vol. 22(4), pages 1007-1034, December.
    18. Kenkel, Don, 1997. "On valuing morbidity, cost-effectiveness analysis, and being rude," Journal of Health Economics, Elsevier, vol. 16(6), pages 749-757, December.
    19. Ziyu Wang & Nan Xia & Xin Zhao & Xing Gao & Sudan Zhuang & Manchun Li, 2023. "Evaluating Urban Vitality of Street Blocks Based on Multi-Source Geographic Big Data: A Case Study of Shenzhen," IJERPH, MDPI, vol. 20(5), pages 1-20, February.
    20. Inge Mayeres & Denise Van Regemorter, 2008. "Modelling the Health Related Benefits of Environmental Policies and Their Feedback Effects: A CGE Analysis for the EU Countries with GEM-E3," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 135-150.

    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:gam:jijerp:v:19:y:2022:i:11:p:6478-:d:824785. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.