@article{ebb34f799c6e41b4b46e281b088b93c4,
title = "Reliable location of first responder stations for cooperative response to disasters",
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 = "Cooperative, Emergency, First responder station, Lagrangian relaxation, Reliable location",
author = "Zhoutong Jiang and Yanfeng Ouyang",
note = "This research was financially supported in part by the U.S. National Science Foundation through Grants CMMI 1662825, 1234085, and the ZJU-UIUC Joint Research Center Project No.DREMES202001, funded by Zhejiang University . The initial conceptualization was supported by the Roadway Safety Institute, the University Transportation Center for U.S. Department of Transportation Region 5. The first author benefited from discussion with Dr. Siyang Xie (Facebook, Inc.) at the beginning of this research. The helpful comments from the editors and reviewers are gratefully acknowledged. This research was financially supported in part by the U.S. National Science Foundation through Grants CMMI #1662825, #1234085, and the ZJU-UIUC Joint Research Center Project No.DREMES202001, funded by Zhejiang University. The initial conceptualization was supported by the Roadway Safety Institute, the University Transportation Center for U.S. Department of Transportation Region 5. The first author benefited from discussion with Dr. Siyang Xie (Facebook, Inc.) at the beginning of this research. The helpful comments from the editors and reviewers are gratefully acknowledged.",
year = "2021",
month = jul,
doi = "10.1016/j.trb.2021.04.004",
language = "English (US)",
volume = "149",
pages = "20--32",
journal = "Transportation Research Part B: Methodological",
issn = "0191-2615",
publisher = "Elsevier Ltd",
}