An Optimization Approach Applied to Fair Division Transportation Funding Allocation Models
| dc.creator | Chang, Carlos M. | |
| dc.creator | Montes, Edith | |
| dc.date | 2017-04-01T18:47:34Z | |
| dc.date.accessioned | 2026-07-09T09:27:49Z | |
| dc.description | 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. | |
| dc.identifier | doi:10.22004/ag.econ.207429 | |
| dc.identifier | https://ageconsearch.umn.edu/record/207429/files/2014v53n1_07_TransportationFunding.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/207429 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/609208 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/207429 | |
| dc.title | An Optimization Approach Applied to Fair Division Transportation Funding Allocation Models | |
| dc.type | Text |