Fleet size and fare optimization for taxi under dynamic demand
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of Transport Literature |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2238-10312016000400045 |
Resumo: | Abstract In this paper, a bi-level model is proposed, which considers the benefits of taxi driver and passenger. The upper-level model is a bi-objective program. The first objective is to minimize the waiting time of passenger in rush hour. And the second objective is to maximize the income of the driver for one day. The lower-level model is a demand function model, calculating the demand of taxi based on given fleet size and fare. The lower-level model can show the influence of fleet size and fare on the potential demand. At last, the taxi current condition of Dalian city in China is chosen to test the proposed method. The results show that the increase of fleet size can attract potential demand. But the degree of attraction mostly depends on the waiting time of passengers and taxi fare. Furthermore, both fleet size and fare of tax in Dalian are on a low level. It is necessary to increase the fleet size and the fare in the meantime. |
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Journal of Transport Literature |
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Fleet size and fare optimization for taxi under dynamic demandTaxi Fleet SizeDynamic DemandWaiting Time of PassengerTaxi Driver IncomeBi-Level ModelAbstract In this paper, a bi-level model is proposed, which considers the benefits of taxi driver and passenger. The upper-level model is a bi-objective program. The first objective is to minimize the waiting time of passenger in rush hour. And the second objective is to maximize the income of the driver for one day. The lower-level model is a demand function model, calculating the demand of taxi based on given fleet size and fare. The lower-level model can show the influence of fleet size and fare on the potential demand. At last, the taxi current condition of Dalian city in China is chosen to test the proposed method. The results show that the increase of fleet size can attract potential demand. But the degree of attraction mostly depends on the waiting time of passengers and taxi fare. Furthermore, both fleet size and fare of tax in Dalian are on a low level. It is necessary to increase the fleet size and the fare in the meantime.Sociedade Brasileira de Planejamento dos Transportes2016-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2238-10312016000400045Journal of Transport Literature v.10 n.4 2016reponame:Journal of Transport Literatureinstname:Sociedade Brasileira de Planejamento dos Transportes (SBPT)instacron:SBPTR10.1590/2238-1031.jtl.v10n4a9info:eu-repo/semantics/openAccessYao,BaozhenJin,LuCao,QingdaGao,JunjieZhang,Minghengeng2015-11-30T00:00:00Zoai:scielo:S2238-10312016000400045Revistahttp://www.journal-of-transport-literature.org/https://old.scielo.br/oai/scielo-oai.php||alessandro.oliveira@pq.cnpq.br|| editor.jtl@gmail.com2238-10312238-1031opendoar:2015-11-30T00:00Journal of Transport Literature - Sociedade Brasileira de Planejamento dos Transportes (SBPT)false |
dc.title.none.fl_str_mv |
Fleet size and fare optimization for taxi under dynamic demand |
title |
Fleet size and fare optimization for taxi under dynamic demand |
spellingShingle |
Fleet size and fare optimization for taxi under dynamic demand Yao,Baozhen Taxi Fleet Size Dynamic Demand Waiting Time of Passenger Taxi Driver Income Bi-Level Model |
title_short |
Fleet size and fare optimization for taxi under dynamic demand |
title_full |
Fleet size and fare optimization for taxi under dynamic demand |
title_fullStr |
Fleet size and fare optimization for taxi under dynamic demand |
title_full_unstemmed |
Fleet size and fare optimization for taxi under dynamic demand |
title_sort |
Fleet size and fare optimization for taxi under dynamic demand |
author |
Yao,Baozhen |
author_facet |
Yao,Baozhen Jin,Lu Cao,Qingda Gao,Junjie Zhang,Mingheng |
author_role |
author |
author2 |
Jin,Lu Cao,Qingda Gao,Junjie Zhang,Mingheng |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Yao,Baozhen Jin,Lu Cao,Qingda Gao,Junjie Zhang,Mingheng |
dc.subject.por.fl_str_mv |
Taxi Fleet Size Dynamic Demand Waiting Time of Passenger Taxi Driver Income Bi-Level Model |
topic |
Taxi Fleet Size Dynamic Demand Waiting Time of Passenger Taxi Driver Income Bi-Level Model |
description |
Abstract In this paper, a bi-level model is proposed, which considers the benefits of taxi driver and passenger. The upper-level model is a bi-objective program. The first objective is to minimize the waiting time of passenger in rush hour. And the second objective is to maximize the income of the driver for one day. The lower-level model is a demand function model, calculating the demand of taxi based on given fleet size and fare. The lower-level model can show the influence of fleet size and fare on the potential demand. At last, the taxi current condition of Dalian city in China is chosen to test the proposed method. The results show that the increase of fleet size can attract potential demand. But the degree of attraction mostly depends on the waiting time of passengers and taxi fare. Furthermore, both fleet size and fare of tax in Dalian are on a low level. It is necessary to increase the fleet size and the fare in the meantime. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2238-10312016000400045 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2238-10312016000400045 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/2238-1031.jtl.v10n4a9 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Planejamento dos Transportes |
publisher.none.fl_str_mv |
Sociedade Brasileira de Planejamento dos Transportes |
dc.source.none.fl_str_mv |
Journal of Transport Literature v.10 n.4 2016 reponame:Journal of Transport Literature instname:Sociedade Brasileira de Planejamento dos Transportes (SBPT) instacron:SBPTR |
instname_str |
Sociedade Brasileira de Planejamento dos Transportes (SBPT) |
instacron_str |
SBPTR |
institution |
SBPTR |
reponame_str |
Journal of Transport Literature |
collection |
Journal of Transport Literature |
repository.name.fl_str_mv |
Journal of Transport Literature - Sociedade Brasileira de Planejamento dos Transportes (SBPT) |
repository.mail.fl_str_mv |
||alessandro.oliveira@pq.cnpq.br|| editor.jtl@gmail.com |
_version_ |
1750318362852851712 |