An Optimization Approach Applied to Fair Division Transportation Funding Allocation Models

Authors

  • Carlos M. Chang University of Texas at El Paso
  • Edith Montes University of Texas at El Paso

DOI:

https://doi.org/10.5399/osu/jtrf.53.1.4201

Abstract

The problem of multiple necessities and limited funds is common in the transportation field. Funding allocation for a transportation agency often involves prioritizing the allocation of funds across a number of participants who have their own needs and preferences. If a participant believes that the final allocation is unfair, then this perception could result in the generation of envy. In this paper, a genetic optimization technique is applied to a Fair Division Transportation Funding Allocation Model (FDTFAM) to minimize the total envy based on the participant’s own priorities and the budget constraints.

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Published

2014-03-01

Issue

Section

Articles