Reliable location of first responder stations for cooperative response to disasters
Zhoutong Jiang and
Yanfeng Ouyang
Transportation Research Part B: Methodological, 2021, vol. 149, issue C, 20-32
Abstract:
Strategic positioning and allocation of emergency responders and/or resources to potential emergency incidents are very important decisions for disaster management programs. In this paper, a reliable multi-type joint-service facility location model is proposed, which takes into consideration the need for cooperative service from multiple types of responder stations, as well as the probabilistic risk of station disruptions. The problem is formulated as a mixed-integer non-linear program and solved via a set of customized linear program and Lagrangian relaxation based algorithms. Numerical experiments on hypothetical and full-scale cases are conducted to demonstrate the applicability of the model and to draw managerial insights.
Keywords: First responder station; Cooperative; Emergency; Reliable location; Lagrangian relaxation (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0191261521000618
Full text for ScienceDirect subscribers only
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:eee:transb:v:149:y:2021:i:c:p:20-32
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.trb.2021.04.004
Access Statistics for this article
Transportation Research Part B: Methodological is currently edited by Fred Mannering
More articles in Transportation Research Part B: Methodological from Elsevier
Bibliographic data for series maintained by Catherine Liu ().