Optimal Refueling Station Location and Supply Planning for Hurricane Evacuation

Gao, Yang; Chiu, Yi Chang; Wang, Shuo; Küçükyavuz, Simge

doi:10.3141/2196-06

Cited by 12 publications

(5 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Past evacuation studies on refueling station dependency focused on the deployment and supply planning of refueling stations for gasoline vehicles. Simulation-optimization frameworks were used for optimal deployment of gas stations and their supply for hurricane evacuation ( 28 ) and the so-called “idealized model” manages optimal gasoline supplies and evacuation routing with fuel capacity constraints for hurricane evacuation ( 29 ). Few studies investigated the effect of alternative refueling station location on preemptive evacuation performance.…”

Section: Literature Reviewmentioning

confidence: 99%

Refueling Station Location Model to Support Evacuation of Alternative Fuel Vehicles

Purba,

Balisi,

Kontou

2023

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

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.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Refueling Station Location Model to Support Evacuation of Alternative Fuel Vehicles

Purba,

Balisi,

Kontou

2023

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

show abstract

“…Pre-evacuation refueling seems a rational choice but not everyone uses this strategy, so research looking into behavior heterogeneity would be useful. In addition, long-distance evacuation and heavy congestion could raise household fuel needs on the way ( 6 ). Vehicles running out of gasoline worsen congestion.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, this is not the case for disasters; only a limited amount of past research studied the topic for hurricane-affected days, as discussed below. Gao et al used simulation and solved a refueling station location optimization problem to support fuel supply planning decisions for hurricane evacuation ( 6 ). Sabbaghtorkan et al developed an optimization model with restrictions on household gasoline purchase amount and location in solving fuel supply issues during hurricane evacuation ( 22 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing Gas Station Visits during Hurricane Ida: Implications for Future Fuel Supply

Bian

Smiley

Parr

et al. 2023

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

Fuel demand surges and supply shortages during hurricanes are problematic. However, fuel consumption and refueling behavior are not well discussed in disaster scenarios compared with the extant literature on these topics during normal conditions. This study used an emerging data source to report when fuel demand (indicated by gas station visits) deviated from a normal variation range during Hurricane Ida (a Category 4 Atlantic hurricane in 2021), how long the deviation lasted, and which area(s) experienced greater deviations. Gas station visits are likely to surge within 2 days before storm landfall, while evacuation destinations and intermediate trip connectors had longer surges. Using univariate linear regression, this study also statistically explored what factors might affect the fuel demand deviation at an aggregate level. The testing results revealed that zones of higher vehicle ownership, more daily commuters driving alone, lower residential stability, more mobile homes, and less storm impacts tended to have more gas station visits (i.e., greater fuel demand). Then, this study analyzed data at a more disaggregate level to identify the characteristics of gas stations that are more likely to have more visitors. Gas stations near interstates/highways attracted more visits, especially within 2 days before storm landfall. Gas stations farther away from interstates/highways attracted more visits after storm landfall. Overall, this study contributes to our knowledge about fuel consumption and refueling location preferences during hurricanes. These findings could help public agencies and private companies in their fuel supply planning (e.g., fuel distribution) and response (e.g., providing power generators to focal locations).

show abstract

“…Preparedness refers to the preparing of equipment and procedures ( 21 ). Planning refers to mitigating the results and effects of any emergencies ( 22 – 24 ). In the context of a hurricane, both preparedness and planning are complex behaviors associated with multidimensional factors, including risk perceptions, income, ethnicity, and education levels ( 25 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Household Evacuation Planning and Preparation for Future Hurricanes: Role of Utility Service Disruptions

Halim

Jiang

Khan

et al. 2021

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

We analyzed data from a survey administered to 1,212 respondents living in superstorm Hurricane Sandy-affected areas. We estimated the effect of having experienced hurricane-induced disruptions to utility services, such as electricity, water, gas, phone service, and public transportation, on having an evacuation plan. Around 39% of respondents reported having an evacuation plan in case a hurricane affects their neighborhood this year. Respondents who had experienced disruptions to electricity supply had an approximately 11 percentage-point higher likelihood of having an evacuation plan than those who had experienced no such disruptions. Respondents who had experienced monetary losses from Hurricane Sandy had around a five percentage-point higher likelihood of having an evacuation plan compared with those who had not. Among control variables, prior evacuation, distance to the coastline, residence in a flood zone, concern about the impacts of future natural disaster events, had window protection, and household members being disabled, each had an association with residents’ future evacuation planning and hurricane preparedness. In light of these findings, we discuss the policy implications of our findings for improving disaster management in hurricane-prone areas.

show abstract

Optimal Refueling Station Location and Supply Planning for Hurricane Evacuation

Cited by 12 publications

References 15 publications

Refueling Station Location Model to Support Evacuation of Alternative Fuel Vehicles

Refueling Station Location Model to Support Evacuation of Alternative Fuel Vehicles

Analyzing Gas Station Visits during Hurricane Ida: Implications for Future Fuel Supply

Household Evacuation Planning and Preparation for Future Hurricanes: Role of Utility Service Disruptions

Contact Info

Product

Resources

About