Emergency response facility location in transportation networks: A literature review

Yang Liu, Yun Yuan, Jieyi Shen, Wei Gao
2021 Journal of Traffic and Transportation Engineering (English ed. Online)  
h i g h l i g h t s Emergency response facility location problem in transportation networks is reviewed for taxonomy purpose. Travel time estimation and forecast methods in various scenarios are summarized. Emergency facility location models in transportation networks are summarized and categorized. Ilities-oriented, sequential decision modeling, data-driven optimization, and machine learning algorithm are to be studied. Emergency facility location Transportation networks Travel time Machine
more » ... rning a b s t r a c t Emergency response activity relies on transportation networks. Emergency facility location interacts with transportation networks clearly. This review is aimed to provide a combined framework for emergency facility location in transportation networks. The article reveals emergency response activities research clusters, issues, and objectives according to keywords co-occurrence analysis. Four classes of spatial separation models in transportation networks, including distance, routing, accessibility, and travel time are introduced. The stochastic and time-dependent characteristics of travel time are described. Travel time estimation and prediction method, travel time under emergency vehicle preemption, transportation network equilibrium method, and travel time in degradable networks are demonstrated. The emergency facilities location models interact with transportation networks, involving location-routing model, location models embedded with accessibility, location models embedded with travel time, and location models employing mathematical program with equilibrium constraints are reviewed. We then point out the-state-of-art challenges: ilities-oriented, evolution landscape and sequential decision modelling, datadriven optimization approach, and machine learning-based algorithms.
doi:10.1016/j.jtte.2021.03.001 fatcat:nyyzzu5hpvgglmzaa7st7upfn4