IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i9p7423-d1137052.html
   My bibliography  Save this article

Fine–Scale Spatiotemporal Distribution Assessment of Indoor Population Based on Single Buildings: A Case in Dongcheng Subdistrict, Xichang, China

Author

Listed:
  • Benyong Wei

    (Institute of Geology, China Earthquake Administration, Beijing 100029, China
    Key Laboratory of Seismic and Volcanic Hazards, China Earthquake Administration, Beijing 100029, China)

  • Bin Hu

    (Chengdu Earthquake Research Institute of the Tibetan Plateau, China Earthquake Administration, Chengdu 610001, China)

  • Wenhua Qi

    (Institute of Geology, China Earthquake Administration, Beijing 100029, China
    Key Laboratory of Seismic and Volcanic Hazards, China Earthquake Administration, Beijing 100029, China)

Abstract

Population exposure is an important element of disaster loss assessment. High–resolution spatiotemporal distribution assessment of population exposure could improve disaster preparation and reduce the risk. This study proposed a model for assessing the spatiotemporal distribution of indoor people at the scale of single buildings by distinguishing the differences in people densities for various functional buildings. The empirical study results in the Dongcheng Subdistrict, Xichang City, China, showed that this method could determine the indoor population change in different single buildings at different times of day and map fine–scale spatiotemporal distribution of the regional indoor population. Due to the difference in the use function of buildings and human activities, the distribution of indoor populations in different functional buildings changes significantly during the day. Compared with the spatiotemporal changes in the indoor population on non–weekdays, the changes were more obvious on weekdays. The change in indoor population exposure during the daytime is significantly stronger than that at night. The results could provide an important reference for regional disaster preparedness and post–disaster emergency rescue.

Suggested Citation

  • Benyong Wei & Bin Hu & Wenhua Qi, 2023. "Fine–Scale Spatiotemporal Distribution Assessment of Indoor Population Based on Single Buildings: A Case in Dongcheng Subdistrict, Xichang, China," Sustainability, MDPI, vol. 15(9), pages 1-16, April.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7423-:d:1137052
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/9/7423/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/9/7423/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andrea E Gaughan & Forrest R Stevens & Catherine Linard & Peng Jia & Andrew J Tatem, 2013. "High Resolution Population Distribution Maps for Southeast Asia in 2010 and 2015," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-11, February.
    2. 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.
    3. Yunwon Choi & Heeyeun Yoon & Danya Kim, 2019. "Where do people spend their leisure time on dusty days? Application of spatiotemporal behavioral responses to particulate matter pollution," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 63(2), pages 317-339, October.
    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. Jidong Wu & Ying Li & Ning Li & Peijun Shi, 2018. "Development of an Asset Value Map for Disaster Risk Assessment in China by Spatial Disaggregation Using Ancillary Remote Sensing Data," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 17-30, January.
    2. Zhongqiang Bai & Juanle Wang & Mingming Wang & Mengxu Gao & Jiulin Sun, 2018. "Accuracy Assessment of Multi-Source Gridded Population Distribution Datasets in China," Sustainability, MDPI, vol. 10(5), pages 1-15, April.
    3. Fang Wang & Zhao Liu & Shanshan Shang & Yuelei Qin & Bihu Wu, 2019. "Vitality continuation or over-commercialization? Spatial structure characteristics of commercial services and population agglomeration in historic and cultural areas," Tourism Economics, , vol. 25(8), pages 1302-1326, December.
    4. Chaogui Kang & Dongwan Fan & Hongzan Jiao, 2021. "Validating activity, time, and space diversity as essential components of urban vitality," Environment and Planning B, , vol. 48(5), pages 1180-1197, June.
    5. Eva‐Maria Egger & Aslihan Arslan & Emanuele Zucchini, 2022. "Does connectivity reduce gender gaps in off‐farm employment? Evidence from 12 low‐ and middle‐income countries," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 197-218, March.
    6. Danny van Steijn & Juan José Pons Izquierdo & Eduardo Garralda Domezain & Miguel Antonio Sánchez-Cárdenas & Carlos Centeno Cortés, 2021. "Population’s Potential Accessibility to Specialized Palliative Care Services: A Comparative Study in Three European Countries," IJERPH, MDPI, vol. 18(19), pages 1-14, September.
    7. Ling Yin & Jie Chen & Hao Zhang & Zhile Yang & Qiao Wan & Li Ning & Jinxing Hu & Qi Yu, 2020. "Improving emergency evacuation planning with mobile phone location data," Environment and Planning B, , vol. 47(6), pages 964-980, July.
    8. Hong Li & Chong-Yu Xu & Stein Beldring & Lena Merete Tallaksen & Sharad K. Jain, 2016. "Water Resources Under Climate Change in Himalayan Basins," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 843-859, January.
    9. Zhengtao Li & Henk Folmer, 2023. "Air pollution and perception-based averting behaviour in the Jinchuan mining area, China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(2), pages 477-505, April.
    10. Jun Li & Yuan Zhang & Qiming Qin & Yueguan Yan, 2017. "Investigating the Impact of Human Activity on Land Use/Cover Change in China’s Lijiang River Basin from the Perspective of Flow and Type of Population," Sustainability, MDPI, vol. 9(3), pages 1-16, March.
    11. Jan-Ludolf Merkens & Athanasios T. Vafeidis, 2018. "Using Information on Settlement Patterns to Improve the Spatial Distribution of Population in Coastal Impact Assessments," Sustainability, MDPI, vol. 10(9), pages 1-19, September.
    12. Liguo Zhang & Langping Leng & Yongming Zeng & Xi Lin & Su Chen, 2021. "Spatial distribution of rural population using mixed geographically weighted regression: Evidence from Jiangxi Province in China," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-15, April.
    13. 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.
    14. Yisheng Peng & Jiahui Liu & Tianyao Zhang & Xiangyang Li, 2021. "The Relationship between Urban Population Density Distribution and Land Use in Guangzhou, China: A Spatial Spillover Perspective," IJERPH, MDPI, vol. 18(22), pages 1-19, November.
    15. Sangveraphunsiri, Tawit & Cassidy, Michael J. & Daganzo, Carlos F., 2022. "Jitney-lite: a flexible-route feeder service for developing countries," Transportation Research Part B: Methodological, Elsevier, vol. 156(C), pages 1-13.
    16. Thegeya, Aaron & Mitterling, Thomas & Martinez Jr., Arturo & Bulan, Joseph & Durante, Ron Lester & Mag-atas, Jayzon, 2022. "Application of Machine Learning Algorithms on Satellite Imagery for Road Quality Monitoring: An Alternative Approach to Road Quality Surveys," ADB Economics Working Paper Series 675, Asian Development Bank.
    17. Chaiban, Celia & Biscio, Christophe & Thanapongtharm, Weerapong & Tildesley, Michael & Xiao, Xiangming & Robinson, Timothy P. & Vanwambeke, Sophie O. & Gilbert, Marius, 2019. "Point pattern simulation modelling of extensive and intensive chicken farming in Thailand: Accounting for clustering and landscape characteristics," Agricultural Systems, Elsevier, vol. 173(C), pages 335-344.
    18. Yanhui Wang & Jianchen Zhang, 2018. "Integrating BP and MGWR-SL Model to Estimate Village-Level Poor Population: An Experimental Study from Qianjiang, China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(2), pages 639-663, July.
    19. Dennis Wagenaar & Tiaravanni Hermawan & Marc J. C. van den Homberg & Jeroen C. J. H. Aerts & Heidi Kreibich & Hans de Moel & Laurens M. Bouwer, 2021. "Improved Transferability of Data‐Driven Damage Models Through Sample Selection Bias Correction," Risk Analysis, John Wiley & Sons, vol. 41(1), pages 37-55, January.
    20. He, Qingsong & He, Weishan & Song, Yan & Wu, Jiayu & Yin, Chaohui & Mou, Yanchuan, 2018. "The impact of urban growth patterns on urban vitality in newly built-up areas based on an association rules analysis using geographical ‘big data’," Land Use Policy, Elsevier, vol. 78(C), pages 726-738.

    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:jsusta:v:15:y:2023:i:9:p:7423-:d:1137052. 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.