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Spatial Equity with Census Population Data vs. Floating Population Data: The Distribution of Earthquake Evacuation Shelters in Daegu, South Korea

Author

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  • Yoon Ha Lee

    (Innovative Durable Building and Infrastructure Research Center, Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan-si, Gyeonggi-do 15588, Korea)

  • Ji Soo Lee

    (Department of Fire Safety, Kyungil University, 50, Gamasil-gil, Hayang-eup, Gyeongsan-si, Gyeongsangbuk-do 38428, Korea)

  • Seung Chan Baek

    (Faculty of Liberal Arts, Kyungil University, 50, Gamasil-gil, Hayang-eup, Gyeongsan-si, Gyeongsangbuk-do 38428, Korea)

  • Won Hwa Hong

    (School of Architecture, Civil, Environmental and Energy Engineering, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu 41566, Korea)

Abstract

The spatial equity of outdoor evacuation sites designated for emergency evacuation must be secured. In particular, public administrators must ensure spatial equity in preparing for unpredictable evacuation demands, such as earthquakes. This study analyzed the spatial equity of earthquake evacuation shelters in Daegu, South Korea, by using population data at the local level by time- and date-based mobile phone location data (i.e., floating population data). We compared our analysis of the spatial equity and error rate in this case with census data. Ultimately, our results demonstrate that the use of census population data can cause significant error in evaluations of the equity of evacuation shelter accessibility when the floating population data acquired through mobile phone location data are assumed exact.

Suggested Citation

  • Yoon Ha Lee & Ji Soo Lee & Seung Chan Baek & Won Hwa Hong, 2020. "Spatial Equity with Census Population Data vs. Floating Population Data: The Distribution of Earthquake Evacuation Shelters in Daegu, South Korea," Sustainability, MDPI, vol. 12(19), pages 1-17, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:8046-:d:421551
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    References listed on IDEAS

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    1. Mahdi Mostajabdaveh & Walter J. Gutjahr & F. Sibel Salman, 2019. "Inequity-averse shelter location for disaster preparedness," IISE Transactions, Taylor & Francis Journals, vol. 51(8), pages 809-829, August.
    2. Romero, Natalia & Nozick, Linda K. & Xu, Ningxiong, 2016. "Hazmat facility location and routing analysis with explicit consideration of equity using the Gini coefficient," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 165-181.
    3. Seongman Jang & Youngsoo An & Changhyo Yi & Seungil Lee, 2017. "Assessing the spatial equity of Seoul’s public transportation using the Gini coefficient based on its accessibility," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 21(1), pages 91-107, January.
    4. Laijun Zhao & Huiyong Li & Yan Sun & Rongbing Huang & Qingmi Hu & Jiajia Wang & Fei Gao, 2017. "Planning Emergency Shelters for Urban Disaster Resilience: An Integrated Location-Allocation Modeling Approach," Sustainability, MDPI, vol. 9(11), pages 1-20, November.
    5. Ransikarbum, Kasin & Mason, Scott J., 2016. "Goal programming-based post-disaster decision making for integrated relief distribution and early-stage network restoration," International Journal of Production Economics, Elsevier, vol. 182(C), pages 324-341.
    6. Manuela Nappi & João Souza, 2015. "Disaster management: hierarchical structuring criteria for selection and location of temporary shelters," 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. 75(3), pages 2421-2436, February.
    7. Sha-lei Zhan & Nan Liu & Yong Ye, 2014. "Coordinating efficiency and equity in disaster relief logistics via information updates," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(8), pages 1607-1621, August.
    8. Marsh, Michael T. & Schilling, David A., 1994. "Equity measurement in facility location analysis: A review and framework," European Journal of Operational Research, Elsevier, vol. 74(1), pages 1-17, April.
    9. Karsu, Özlem & Morton, Alec, 2015. "Inequity averse optimization in operational research," European Journal of Operational Research, Elsevier, vol. 245(2), pages 343-359.
    10. Batta, Rajan & Lejeune, Miguel & Prasad, Srinivas, 2014. "Public facility location using dispersion, population, and equity criteria," European Journal of Operational Research, Elsevier, vol. 234(3), pages 819-829.
    11. Xiao-jun Wang & Jian-yun Zhang & Shamsuddin Shahid & Amgad ElMahdi & Rui-min He & Xin-gong Wang & Mahtab Ali, 2012. "Gini coefficient to assess equity in domestic water supply in the Yellow River," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 17(1), pages 65-75, January.
    12. Hao Wu & Lingbo Liu & Yang Yu & Zhenghong Peng, 2018. "Evaluation and Planning of Urban Green Space Distribution Based on Mobile Phone Data and Two-Step Floating Catchment Area Method," Sustainability, MDPI, vol. 10(1), pages 1-11, January.
    13. Takahiro Yabe & Yoshihide Sekimoto & Kota Tsubouchi & Satoshi Ikemoto, 2019. "Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-12, February.
    14. Gutjahr, Walter J. & Fischer, Sophie, 2018. "Equity and deprivation costs in humanitarian logistics," European Journal of Operational Research, Elsevier, vol. 270(1), pages 185-197.
    15. Kılcı, Fırat & Kara, Bahar Yetiş & Bozkaya, Burçin, 2015. "Locating temporary shelter areas after an earthquake: A case for Turkey," European Journal of Operational Research, Elsevier, vol. 243(1), pages 323-332.
    16. Chaogui Kang & Yu Liu & Xiujun Ma & Lun Wu, 2012. "Towards Estimating Urban Population Distributions from Mobile Call Data," Journal of Urban Technology, Taylor & Francis Journals, vol. 19(4), pages 3-21, October.
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    Cited by:

    1. Haruka Kato & Atsushi Takizawa & Daisuke Matsushita, 2021. "Impact of COVID-19 Pandemic on Home Range in a Suburban City in the Osaka Metropolitan Area," Sustainability, MDPI, vol. 13(16), pages 1-11, August.
    2. Sreevalsa Kolathayar, 2021. "Recent seismicity in Delhi and population exposure to seismic hazard," 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. 109(3), pages 2621-2648, December.
    3. Lee, Hye Kyung & Jiao, Junfeng & Choi, Seung Jun, 2021. "Identifying spatiotemporal transit deserts in Seoul, South Korea," Journal of Transport Geography, Elsevier, vol. 95(C).

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