A preview of this full-text is provided by Springer Nature.
Content available from Natural Hazards
This content is subject to copyright. Terms and conditions apply.
ORIGINAL PAPER
Study on location allocation of earthquake emergency
service depot based on hybrid multi-attribute decision
making
Xianjun Guan
1
•Fei Bi
2
•Min Liu
2
•Huayou Chen
2
•Ligang Zhou
2,3
Received: 17 March 2017 / Accepted: 12 September 2017 / Published online: 3 October 2017
Springer Science+Business Media B.V. 2017
Abstract The aim of this paper is to propose a location model of earthquake emergency
service depot on the basis of hybrid multi-attribute decision-making method. The advan-
tage of the proposed method is that practical mixed uncertainty of location decision
information is considered, and the corresponding factors that affect the location of transfer
stations are contained. To solve the location problem, a hybrid multi-attribute decision
procedure without information transformation is developed. Besides, a novel weighting
method and aggregation process is given. Finally, a numerical example is provided to show
the feasibility and validity of the proposed method.
Keywords Earthquake emergency service depot Hybrid multi-attribute
decision making Location model Fuzzy information
1 Introduction
China is one of the countries with higher incidence of earthquake, 32.15% of the land,
including nearly 50% of the cities and 67% of the large cities are located in earthquake
region with 7on the seismic intensity. Emergency supplies are necessities in the process
of earthquake emergency response, which need to be transferred from transfer stations to
detailed disaster areas. Especially, after the Wenchuan earthquake of China in 2008 (Gao
et al. 2008), it is a practical and meaningful problem to enhance the capacity for emergency
&Xianjun Guan
guanxj2940@163.com
1
School of Economics and Management, Tongji University, Shanghai 200092, China
2
School of Mathematical Sciences, Anhui University, Hefei 230601, Anhui, China
3
China Institute of Manufacturing Development, Nanjing University of Information Science and
Technology, Nanjing 210044, China
123
Nat Hazards (2018) 90:337–348
https://doi.org/10.1007/s11069-017-3051-8
Content courtesy of Springer Nature, terms of use apply. Rights reserved.