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

Benyong Wei (), Bin Hu and Wenhua Qi
Additional contact information
Benyong Wei: Institute of Geology, 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

Sustainability, 2023, vol. 15, issue 9, 1-16

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.

Keywords: fine–scale assessment; population exposure; risk assessment; Xichang (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/9/7423/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/9/7423/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:9:p:7423-:d:1137052

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().