An Optimization Approach Applied to Fair Division Transportation Funding Allocation Models

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.


Subject(s):
Issue Date:
2014
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/207429
Published in:
Journal of the Transportation Research Forum, Volume 53, Number 1
Page range:
101-118
Total Pages:
19




 Record created 2017-04-01, last modified 2017-08-28

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