Relationships Between Evacuation Population Size, Earthquake Emergency Shelter Capacity, and Evacuation Time

Xiujuan Zhao; Wei Xu; Yunjia Ma; Lianije Qin; Junlin Zhang; Ying Wang

doi:10.1007/s13753-017-0157-2

Article Contents

Article Navigation > International Journal of Disaster Risk Science > 2017 > 8(4): 457-470

Xiujuan Zhao, Wei Xu, Yunjia Ma, Lianije Qin, Junlin Zhang, Ying Wang. Relationships Between Evacuation Population Size, Earthquake Emergency Shelter Capacity, and Evacuation Time[J]. International Journal of Disaster Risk Science, 2017, 8(4): 457-470. doi: 10.1007/s13753-017-0157-2

Citation:

Xiujuan Zhao, Wei Xu, Yunjia Ma, Lianije Qin, Junlin Zhang, Ying Wang. Relationships Between Evacuation Population Size, Earthquake Emergency Shelter Capacity, and Evacuation Time[J]. International Journal of Disaster Risk Science, 2017, 8(4): 457-470. doi: 10.1007/s13753-017-0157-2

Citation:

Xiujuan Zhao, Wei Xu, Yunjia Ma, Lianije Qin, Junlin Zhang, Ying Wang. Relationships Between Evacuation Population Size, Earthquake Emergency Shelter Capacity, and Evacuation Time[J]. International Journal of Disaster Risk Science, 2017, 8(4): 457-470. doi: 10.1007/s13753-017-0157-2

PDF

Relationships Between Evacuation Population Size, Earthquake Emergency Shelter Capacity, and Evacuation Time

doi: 10.1007/s13753-017-0157-2

Xiujuan Zhao^1,2,3,
Wei Xu^{1,2,3
,
,},
Yunjia Ma^1,2,3,
Lianije Qin^1,2,3,
Junlin Zhang^1,2,3,
Ying Wang^1,2,3

1 State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China;
2 Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Beijing Normal University, Beijing 100875, China;
3 Academy of Disaster Reduction and Emergency Management, Ministry of Civil Affairs and Ministry of Education, Beijing Normal University, Beijing 100875, China

Funds:

This study was funded by the Ministry of Science and Technology, China (Grant Number:2016YFA0602404), Ministry of Education and State Administration of Foreign Experts Affairs, China (Grant Number:B08008), and National Natural Science Foundation of China (Grant Number:41201547).

Available Online: 2021-04-26

Abstract

Abstract

Determining the location of earthquake emergency shelters and the allocation of affected population to them are key issues that face shelter planning and emergency management. To solve this emergency shelter location-allocation problem, evacuation time and the construction cost of shelters-both influenced by the evacuation population size and its spatial distribution-are two important considerations. In this article, a mathematical model with two objectives-to minimize total weighted evacuation time (TWET) and total shelter area (TSA)-is allied with a modified particle swarm optimization algorithm to address the problem. The relationships between evacuation population size, evacuation time, and total shelter area are examined using Jinzhan Town in Chaoyang District of Beijing, China, as a case study. The results show that TWET has a power function relationship with TSA under different population size scenarios, and a linear function applies between evacuation population and TWET under different TSAs. The joint relationships of TSA, TWET, and population size show that TWET increases with population increase and TSA decrease, and compared with TSA, population influences TWET more strongly. Given a reliable projection of population change and spatial planning of a study area, this method can be useful for government decision making on the location of earthquake emergency shelters and on the allocation of evacuees to those shelters.
- China, earthquake shelter location,
- Evacuation population allocation,
- Total shelter area,
- Total weighted evacuation time

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References(49)

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