In Press, Corrected Proof: Ensuring multidimensional equality in public service
buir.contributor.author | Akoluk, Damla | |
buir.contributor.author | Karsu, Özlem | |
buir.contributor.orcid | Karsu, Özlem|0000-0002-9926-2021 | |
dc.citation.epage | 19 | en_US |
dc.citation.spage | 1 | en_US |
dc.contributor.author | Akoluk, Damla | |
dc.contributor.author | Karsu, Özlem | |
dc.date.accessioned | 2022-02-24T06:01:53Z | |
dc.date.available | 2022-02-24T06:01:53Z | |
dc.date.issued | 2021-10-23 | |
dc.department | Department of Industrial Engineering | en_US |
dc.description.abstract | Service planning problems typically involve decisions that lead to the distribution of multiple benefits to multiple users, and hence include equality and efficiency concerns in a multidimensional way. We develop two mathematical modeling-based approaches that incorporate these concerns in such problems. The first formulation aggregates the multidimensional efficiency and equality (equitability) concerns in a biobjective model. The second formulation defines an objective function for each benefit, which maximizes the total social welfare obtained from that specific benefit distribution; this results in an n-objective model, where n is the number of benefits. We illustrate and compare these approaches on an example public service provision problem. | en_US |
dc.description.provenance | Submitted by Esma Aytürk (esma.babayigit@bilkent.edu.tr) on 2022-02-24T06:01:53Z No. of bitstreams: 1 Ensuring_multidimensional_equality_in_public_service.pdf: 4872993 bytes, checksum: f367bb6e4258dfe63aaaef300b86665a (MD5) | en |
dc.description.provenance | Made available in DSpace on 2022-02-24T06:01:53Z (GMT). No. of bitstreams: 1 Ensuring_multidimensional_equality_in_public_service.pdf: 4872993 bytes, checksum: f367bb6e4258dfe63aaaef300b86665a (MD5) Previous issue date: 2021-10-23 | en |
dc.embargo.release | 2023-10-23 | |
dc.identifier.doi | 10.1016/j.seps.2021.101176 | en_US |
dc.identifier.eissn | 1873-6041 | |
dc.identifier.issn | 0038-0121 | |
dc.identifier.uri | http://hdl.handle.net/11693/77594 | |
dc.language.iso | English | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.isversionof | https://doi.org/10.1016/j.seps.2021.101176 | en_US |
dc.source.title | Socio-Economic Planning Sciences | en_US |
dc.subject | Equality | en_US |
dc.subject | Equitability | en_US |
dc.subject | Fairness | en_US |
dc.subject | Public service provision | en_US |
dc.subject | Public education | en_US |
dc.subject | Knapsack problem | en_US |
dc.subject | Equity | en_US |
dc.subject | Epsilon constraint algorithm | en_US |
dc.subject | Bi-objective optimization | en_US |
dc.title | In Press, Corrected Proof: Ensuring multidimensional equality in public service | en_US |
dc.type | Article | en_US |
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