TY - JOUR
T1 - Bi-objective evacuation problem in ships or buildings
AU - Lai, Xiaofan
AU - Ng, Chi To
AU - Wan, Chung Lai Johnny
N1 - Funding Information:
We would like to thank the two anonymous reviewers for their constructive comments to improve the quality of the paper. This research was supported in part by the Research Grants Council of Hong Kong under grant numbers PolyU 152148/15E and PolyU 152207/17E, the National Natural Science Foundation of China (NSFC) under grant numbers 71701222, 91846301, and 72004141, and Natural Science Foundation of Guang Dong Province under grant number 2019A1515010492, Humanities and Social Science Fund of Ministry of Education of China under grant number 21YJC630052, research project from Department of finance of Guangdong Province under grant number 21S126, and the Shenzhen Natural Science Fund (the Stable Support Plan Program) under grant number 20200812134420001.
Publisher Copyright:
© 2022 Inderscience Enterprises Ltd.
PY - 2022/1
Y1 - 2022/1
N2 - In this paper, we introduce an evacuation problem that involves several real-world evacuation elements, such as different types of evacuees and different types of exits, applicable to the evacuation of buildings or ships in emergency, e.g., fire. In particular, we exploit the multiple commodity flow in a time-expanded network to model the evacuation routes for different commodities. The commodities characterise the different types of evacuee groups which have different speeds during evacuation. We use the bi-objective programming to consider two different objectives of the evacuation planning from both time and space dimensions. Then we propose a method to solve this newly developed evacuation model. Based on a series of computational experiments and sensitivity analyses, we find that the evacuation speed of evacuees is a critical element to be considered when planning an evacuation on ships or buildings in emergency.
AB - In this paper, we introduce an evacuation problem that involves several real-world evacuation elements, such as different types of evacuees and different types of exits, applicable to the evacuation of buildings or ships in emergency, e.g., fire. In particular, we exploit the multiple commodity flow in a time-expanded network to model the evacuation routes for different commodities. The commodities characterise the different types of evacuee groups which have different speeds during evacuation. We use the bi-objective programming to consider two different objectives of the evacuation planning from both time and space dimensions. Then we propose a method to solve this newly developed evacuation model. Based on a series of computational experiments and sensitivity analyses, we find that the evacuation speed of evacuees is a critical element to be considered when planning an evacuation on ships or buildings in emergency.
KW - Bi-objective programming
KW - Evacuation problem
KW - Multi-commodity
KW - Network flows
UR - http://www.scopus.com/inward/record.url?scp=85124827848&partnerID=8YFLogxK
U2 - 10.1504/IJSTL.2022.120678
DO - 10.1504/IJSTL.2022.120678
M3 - Journal article
AN - SCOPUS:85124827848
VL - 14
SP - 172
EP - 192
JO - International Journal of Shipping and Transport Logistics
JF - International Journal of Shipping and Transport Logistics
SN - 1756-6517
IS - 1-2
ER -