TY - JOUR
T1 - Emergency facility location problems in logistics
T2 - Status and perspectives
AU - Wang, Wei
AU - Wu, Shining
AU - Wang, Shuaian
AU - Zhen, Lu
AU - Qu, Xiaobo
N1 - Funding Information:
This study is supported by the Sino-Sweden bilateral project via the National Key R&D Program of China (Project No. 2018YFE0102700) and Vinnova/FFI. This research is also supported by the National Natural Science Foundation of China (Grant numbers 72025103, 71831008, 72071173). All authors contribute equally to the paper and are co-first authors.
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/10
Y1 - 2021/10
N2 - Emergencies that pose potential threats to our health, life, and properties can happen anywhere and anytime and may result in huge losses if they are not handled timely and effectively. An immediate response to emergencies is the key to mitigate these threats and losses. As the response time is largely dependent on the number and location of emergency facilities, the problem of how to determine the optimal number of emergency facilities and their best locations is of great strategic importance and of great interest to researchers. One of the most common approaches for researchers to address the emergency facility location problem is to model it as a discrete coverage-based emergency facility location problem. This paper provides a comprehensive overview of this problem, including mathematical models and their extensions and applications. In addition, the commonly used solution methods and some promising future research questions based on covering models are discussed.
AB - Emergencies that pose potential threats to our health, life, and properties can happen anywhere and anytime and may result in huge losses if they are not handled timely and effectively. An immediate response to emergencies is the key to mitigate these threats and losses. As the response time is largely dependent on the number and location of emergency facilities, the problem of how to determine the optimal number of emergency facilities and their best locations is of great strategic importance and of great interest to researchers. One of the most common approaches for researchers to address the emergency facility location problem is to model it as a discrete coverage-based emergency facility location problem. This paper provides a comprehensive overview of this problem, including mathematical models and their extensions and applications. In addition, the commonly used solution methods and some promising future research questions based on covering models are discussed.
KW - Covering problem
KW - Emergency facility location
KW - Emergency service
KW - Mathematical modeling
UR - http://www.scopus.com/inward/record.url?scp=85114167907&partnerID=8YFLogxK
U2 - 10.1016/j.tre.2021.102465
DO - 10.1016/j.tre.2021.102465
M3 - Journal article
AN - SCOPUS:85114167907
SN - 1366-5545
VL - 154
JO - Transportation Research Part E: Logistics and Transportation Review
JF - Transportation Research Part E: Logistics and Transportation Review
M1 - 102465
ER -