A Multi-Objective Stochastic Model for an Earthquake Relief Network
Earthquake relief network involves storage and distribution of relief aid to people in need. In this paper, a new stochastic multi-objective mixed integer mathematical model is developed and implemented in Kadikoy municipality of Istanbul, Turkey in order to configure part of the earthquake relief n...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/1910632 |
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| author | Zeren D. Yenice Funda Samanlioglu |
| author_facet | Zeren D. Yenice Funda Samanlioglu |
| author_sort | Zeren D. Yenice |
| collection | DOAJ |
| description | Earthquake relief network involves storage and distribution of relief aid to people in need. In this paper, a new stochastic multi-objective mixed integer mathematical model is developed and implemented in Kadikoy municipality of Istanbul, Turkey in order to configure part of the earthquake relief network. The aim of the model is to help decision makers decide on the locations of storage areas for shelters pre-earthquake and distribution of shelters from these areas to temporary shelter areas post-earthquake while minimizing earthquake scenario-specific total expected distribution distance, total expected earthquake damage risk factor of storage areas and expected total penalty cost related to unsatisfied demand at temporary shelter areas, simultaneously. In the model, storage area capacity and coverage distance restrictions are taken into consideration. The data related to potential storage areas and shelter locations were obtained from Kadikoy municipality of Istanbul and Istanbul Metropolitan Municipality (IMM). The earthquake damage risk factors were determined based on possible earthquake scenarios given in Japan International Cooperation Agency’s (JICA) report. Four event scenarios with two different earthquake scenario likelihoods were considered and sample efficient solutions from the Pareto frontier were obtained implementing the normalized (scaled) weighted sum method. |
| format | Article |
| id | doaj-art-740bc88b900342d5b37d2eff9c9d274d |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-740bc88b900342d5b37d2eff9c9d274d2025-02-03T01:05:16ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/19106321910632A Multi-Objective Stochastic Model for an Earthquake Relief NetworkZeren D. Yenice0Funda Samanlioglu1Department of Industrial Engineering, Kadir Has University, Kadir Has Campus, Cibali, Istanbul 34083, TurkeyDepartment of Industrial Engineering, Kadir Has University, Kadir Has Campus, Cibali, Istanbul 34083, TurkeyEarthquake relief network involves storage and distribution of relief aid to people in need. In this paper, a new stochastic multi-objective mixed integer mathematical model is developed and implemented in Kadikoy municipality of Istanbul, Turkey in order to configure part of the earthquake relief network. The aim of the model is to help decision makers decide on the locations of storage areas for shelters pre-earthquake and distribution of shelters from these areas to temporary shelter areas post-earthquake while minimizing earthquake scenario-specific total expected distribution distance, total expected earthquake damage risk factor of storage areas and expected total penalty cost related to unsatisfied demand at temporary shelter areas, simultaneously. In the model, storage area capacity and coverage distance restrictions are taken into consideration. The data related to potential storage areas and shelter locations were obtained from Kadikoy municipality of Istanbul and Istanbul Metropolitan Municipality (IMM). The earthquake damage risk factors were determined based on possible earthquake scenarios given in Japan International Cooperation Agency’s (JICA) report. Four event scenarios with two different earthquake scenario likelihoods were considered and sample efficient solutions from the Pareto frontier were obtained implementing the normalized (scaled) weighted sum method.http://dx.doi.org/10.1155/2020/1910632 |
| spellingShingle | Zeren D. Yenice Funda Samanlioglu A Multi-Objective Stochastic Model for an Earthquake Relief Network Journal of Advanced Transportation |
| title | A Multi-Objective Stochastic Model for an Earthquake Relief Network |
| title_full | A Multi-Objective Stochastic Model for an Earthquake Relief Network |
| title_fullStr | A Multi-Objective Stochastic Model for an Earthquake Relief Network |
| title_full_unstemmed | A Multi-Objective Stochastic Model for an Earthquake Relief Network |
| title_short | A Multi-Objective Stochastic Model for an Earthquake Relief Network |
| title_sort | multi objective stochastic model for an earthquake relief network |
| url | http://dx.doi.org/10.1155/2020/1910632 |
| work_keys_str_mv | AT zerendyenice amultiobjectivestochasticmodelforanearthquakereliefnetwork AT fundasamanlioglu amultiobjectivestochasticmodelforanearthquakereliefnetwork AT zerendyenice multiobjectivestochasticmodelforanearthquakereliefnetwork AT fundasamanlioglu multiobjectivestochasticmodelforanearthquakereliefnetwork |