Effective and equitable supply of gasoline to impacted areas in the aftermath of a natural disaster : final report.

Details

• Creators:
  Batta, Rajan ; Kwon, Changhyun ; Baveja, Alok
• Corporate Creators:
  University at Buffalo, SUNY ; Rutgers University
• Corporate Contributors:
  University Transportation Research Center
• Subject/TRT Terms:
  • Case studies
  • Demand
  • Disasters
  • Electric generators
  • Equity (Justice)
  • Gasoline
  • Mathematical models
  • Mixed integer programming
  • Supply Fuel delivery
  • gasoline stations
  More +
• Publication/ Report Number:
  UTRC/RF Grant No: 49198-25-26
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States;New Jersey
• Edition:
  Final report
• Corporate Publisher:
  University Transportation Research Center
• Abstract:
  The focus of this project was on supplying gasoline after a natural disaster. There were two aspects ; for this work: determination of which gas stations should be provided with generators (among those that do ; not have electric power) and determination of a delivery scheme that accounts for increased demand due to ; lack of public transportation and considerations such as equity. A Mixed-Integer Mathematical formulation ; was developed for this situation. Two case studies based on Hurricane Sandy in New Jersey are developed and ; solved in CPLEX. ; This project utilized the limited supply of back-up generators and optimized the generators ; assignment and truck deliveries to the gas stations to achieve maximum gasoline delivery, while ensuring ; equity factor across the different regions. The model works effectively to locate generators to gas stations ; and assigns delivery trucks to gas stations. Via the New Jersey 2 -county case study our study shows that ; different combinations of two types of trucks can affect the performance significantly. Different input ; parameters, e.g. available resource, number of generators, equity parameter affect the deliverable results. ; From the large case-study we conclude that our model is quite efficient and useful to manage gasoline ; delivery in the aftermath o f a natural disaster.
  More +
• Format:
  PDF
• Funding:
  49198-25-26
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/31198/dot_31198_DS1.pdf
• File Type:
  [PDF - 3.49 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:8f9d5d78451d47f8e6e5ec09a4f49151c800af1bbee1394c36a6995165ccf26ebacb0f8b4ac5ebf2c1af79d47a61d7d1bef2d07f9eb6e14418f94793954cea9a