TY - JOUR
T1 - Refueling Station Location Model to Support Evacuation of Alternative Fuel Vehicles
AU - Purba, Denissa Sari Darmawi
AU - Balisi, Simon
AU - Kontou, Eleftheria
N1 - Funding Information:
This research was partially supported by the Illinois-Indiana Sea Grant Faculty Scholar Program.
Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was partially supported by the Illinois-Indiana Sea Grant Faculty Scholar Program.
Publisher Copyright:
© National Academy of Sciences: Transportation Research Board 2023.
PY - 2023
Y1 - 2023
N2 - Alternative fuel vehicles may pose challenges to evacuation planning because of their short driving range and the sparse refueling infrastructure existing on transportation networks. Deployment and strategic siting of emergency refueling stations are needed to support the evacuation of alternative fuel vehicles to reach a shelter. This study proposes a location-routing problem with hop constraints that optimize the placement of emergency refueling stations of each alternative fuel type to support evacuation routing. We develop a Benders-inspired decomposition method with a transformed network to solve the location problem and a matheuristic branch-and-price method to design evacuation routes that minimize travel and refueling time and satisfy the hop constraints of each vehicle type. Our numerical experiments, focusing on the South Florida network, uncover the impacts of alternative fuel vehicle specifications and vehicle heterogeneity on the deployment plan.
AB - Alternative fuel vehicles may pose challenges to evacuation planning because of their short driving range and the sparse refueling infrastructure existing on transportation networks. Deployment and strategic siting of emergency refueling stations are needed to support the evacuation of alternative fuel vehicles to reach a shelter. This study proposes a location-routing problem with hop constraints that optimize the placement of emergency refueling stations of each alternative fuel type to support evacuation routing. We develop a Benders-inspired decomposition method with a transformed network to solve the location problem and a matheuristic branch-and-price method to design evacuation routes that minimize travel and refueling time and satisfy the hop constraints of each vehicle type. Our numerical experiments, focusing on the South Florida network, uncover the impacts of alternative fuel vehicle specifications and vehicle heterogeneity on the deployment plan.
KW - alternative transportation fuels and technologies
KW - emergency evacuation
KW - sustainability and resilience
KW - transportation and sustainability
KW - transportation energy
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U2 - 10.1177/03611981231171156
DO - 10.1177/03611981231171156
M3 - Article
AN - SCOPUS:85163816771
SN - 0361-1981
VL - 2678
SP - 521
EP - 538
JO - Transportation Research Record
JF - Transportation Research Record
IS - 1
ER -