Fair Railway Network Design
Fuente:
arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866929484931792896 |
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| author | He, Zixu Botan, Sirin Lang, Jérôme Saffidine, Abdallah Sikora, Florian Workman, Silas |
| author_facet | He, Zixu Botan, Sirin Lang, Jérôme Saffidine, Abdallah Sikora, Florian Workman, Silas |
| contents | When designing a public transportation network in a country, one may want to minimise the sum of travel duration of all inhabitants. This corresponds to a purely utilitarian view and does not involve any fairness consideration, as the resulting network will typically benefit the capital city and/or large central cities while leaving some peripheral cities behind. On the other hand, a more egalitarian view will allow some people to travel between peripheral cities without having to go through a central city. We define a model, propose algorithms for computing solution networks, and report on experiments based on real data. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_02152 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Fair Railway Network Design He, Zixu Botan, Sirin Lang, Jérôme Saffidine, Abdallah Sikora, Florian Workman, Silas Social and Information Networks Artificial Intelligence When designing a public transportation network in a country, one may want to minimise the sum of travel duration of all inhabitants. This corresponds to a purely utilitarian view and does not involve any fairness consideration, as the resulting network will typically benefit the capital city and/or large central cities while leaving some peripheral cities behind. On the other hand, a more egalitarian view will allow some people to travel between peripheral cities without having to go through a central city. We define a model, propose algorithms for computing solution networks, and report on experiments based on real data. |
| title | Fair Railway Network Design |
| topic | Social and Information Networks Artificial Intelligence |
| url | https://arxiv.org/abs/2409.02152 |