An Optimization Approach Applied to Fair Division Transportation Funding Allocation Models

Carlos M. Chang and Edith Montes

Journal of the Transportation Research Forum, 2014, vol. 53, issue 01

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.

Keywords: Public; Economics (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:ags:ndjtrf:207429

DOI: 10.22004/ag.econ.207429

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