A new bi-objective model of the urban public transportation hub network design under uncertainty
<p>This paper presents a new bi-objective multi-modal hub location problem with multiple assignment and capacity considerations for the design of an urban public transportation network under uncertainty. Because of the high construction costs of hub links in an urban public transportation netw...
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| مؤلفون آخرون: | , , , |
| منشور في: |
2019
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| _version_ | 1864513567944867840 |
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| author | Firoozeh Kaveh (14150877) |
| author2 | Reza Tavakkoli-Moghaddam (602818) Chefi Triki (14150607) Yaser Rahimi (14150880) Amin Jamili (14150883) |
| author2_role | author author author author |
| author_facet | Firoozeh Kaveh (14150877) Reza Tavakkoli-Moghaddam (602818) Chefi Triki (14150607) Yaser Rahimi (14150880) Amin Jamili (14150883) |
| author_role | author |
| dc.creator.none.fl_str_mv | Firoozeh Kaveh (14150877) Reza Tavakkoli-Moghaddam (602818) Chefi Triki (14150607) Yaser Rahimi (14150880) Amin Jamili (14150883) |
| dc.date.none.fl_str_mv | 2019-11-08T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1007/s10479-019-03430-9 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/A_new_bi-objective_model_of_the_urban_public_transportation_hub_network_design_under_uncertainty/21597168 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Built environment and design Urban and regional planning Commerce, management, tourism and services Transportation, logistics and supply chains Information and computing sciences Information systems Mathematical sciences Applied mathematics Urban transportation Capacitated hub location problem Elastic demand Fuzzy multi-objective programming Meta-heuristics |
| dc.title.none.fl_str_mv | A new bi-objective model of the urban public transportation hub network design under uncertainty |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>This paper presents a new bi-objective multi-modal hub location problem with multiple assignment and capacity considerations for the design of an urban public transportation network under uncertainty. Because of the high construction costs of hub links in an urban public transportation network, it is not economic to create a complete hub network. Moreover, the demand is assumed to be dependent on the utility proposed by each hub. Thus, the elasticity of the demand is considered in this paper. The presented model also has the ability to compute the number of each type of transportation vehicles between every two hubs. The objectives of this model are to maximize the benefits of transportation by establishing hub facilities and to minimize the total transportation time. Since exact values of some parameters are not known in advance, a fuzzy multi-objective programming based approach is proposed to optimally solve small-sized problems. For medium and large-sized problems, a meta-heuristic algorithm, namely multi-objective particle swarm optimization is applied and its performance is compared with results from the non-dominated sorting genetic algorithm. Our experimental results demonstrated the validity of our developed model and approaches. Moreover, an intensive sensitivity analyze study is carried out on a real-case application related to the monorail project of the holy city of Qom.</p><h2>Other Information</h2> <p> Published in: Annals of Operations Research<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1007/s10479-019-03430-9" target="_blank">http://dx.doi.org/10.1007/s10479-019-03430-9</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_4bfc0c28ef3d848494c50eec0828526b |
| identifier_str_mv | 10.1007/s10479-019-03430-9 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/21597168 |
| publishDate | 2019 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | A new bi-objective model of the urban public transportation hub network design under uncertaintyFiroozeh Kaveh (14150877)Reza Tavakkoli-Moghaddam (602818)Chefi Triki (14150607)Yaser Rahimi (14150880)Amin Jamili (14150883)Built environment and designUrban and regional planningCommerce, management, tourism and servicesTransportation, logistics and supply chainsInformation and computing sciencesInformation systemsMathematical sciencesApplied mathematicsUrban transportationCapacitated hub location problemElastic demandFuzzy multi-objective programmingMeta-heuristics<p>This paper presents a new bi-objective multi-modal hub location problem with multiple assignment and capacity considerations for the design of an urban public transportation network under uncertainty. Because of the high construction costs of hub links in an urban public transportation network, it is not economic to create a complete hub network. Moreover, the demand is assumed to be dependent on the utility proposed by each hub. Thus, the elasticity of the demand is considered in this paper. The presented model also has the ability to compute the number of each type of transportation vehicles between every two hubs. The objectives of this model are to maximize the benefits of transportation by establishing hub facilities and to minimize the total transportation time. Since exact values of some parameters are not known in advance, a fuzzy multi-objective programming based approach is proposed to optimally solve small-sized problems. For medium and large-sized problems, a meta-heuristic algorithm, namely multi-objective particle swarm optimization is applied and its performance is compared with results from the non-dominated sorting genetic algorithm. Our experimental results demonstrated the validity of our developed model and approaches. Moreover, an intensive sensitivity analyze study is carried out on a real-case application related to the monorail project of the holy city of Qom.</p><h2>Other Information</h2> <p> Published in: Annals of Operations Research<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1007/s10479-019-03430-9" target="_blank">http://dx.doi.org/10.1007/s10479-019-03430-9</a></p>2019-11-08T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1007/s10479-019-03430-9https://figshare.com/articles/journal_contribution/A_new_bi-objective_model_of_the_urban_public_transportation_hub_network_design_under_uncertainty/21597168CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/215971682019-11-08T03:00:00Z |
| spellingShingle | A new bi-objective model of the urban public transportation hub network design under uncertainty Firoozeh Kaveh (14150877) Built environment and design Urban and regional planning Commerce, management, tourism and services Transportation, logistics and supply chains Information and computing sciences Information systems Mathematical sciences Applied mathematics Urban transportation Capacitated hub location problem Elastic demand Fuzzy multi-objective programming Meta-heuristics |
| status_str | publishedVersion |
| title | A new bi-objective model of the urban public transportation hub network design under uncertainty |
| title_full | A new bi-objective model of the urban public transportation hub network design under uncertainty |
| title_fullStr | A new bi-objective model of the urban public transportation hub network design under uncertainty |
| title_full_unstemmed | A new bi-objective model of the urban public transportation hub network design under uncertainty |
| title_short | A new bi-objective model of the urban public transportation hub network design under uncertainty |
| title_sort | A new bi-objective model of the urban public transportation hub network design under uncertainty |
| topic | Built environment and design Urban and regional planning Commerce, management, tourism and services Transportation, logistics and supply chains Information and computing sciences Information systems Mathematical sciences Applied mathematics Urban transportation Capacitated hub location problem Elastic demand Fuzzy multi-objective programming Meta-heuristics |