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Article: A two-stage approach to modeling vacant taxi movements
Title | A two-stage approach to modeling vacant taxi movements |
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Authors | |
Keywords | Enhanced sequential logit model Global positioning system data Logit-opportunity model Taxi customer-search behavior Two-stage approach |
Issue Date | 2015 |
Publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/trc |
Citation | Transportation Research Part C: Emerging Technologies, 2015, v. 59, p. 147-163 How to Cite? |
Abstract | In this paper, a two-stage modeling approach is proposed to predict vacant taxi movements in searching for customers. The taxi movement problem is formulated into a two-stage model that consists of two sub-models, namely the first and second stage sub-models. The first stage sub-model estimates the zone choice of vacant taxi drivers for customer-search and the second stage sub-model determines the circulation time and distance of vacant taxi drivers in each zone by capturing their local customer-search decisions in a cell-based network within the zone chosen in the first stage sub-model. These two sub-models are designed to influence each other, and hence an iterative solution procedure is introduced to solve for a convergent solution. The modeling concept, advantages, and applications are illustrated by the global positioning system data of 460 Hong Kong urban taxis. The results demonstrate that the proposed model formulation offers a great improvement in terms of root mean square error as compared with the existing taxi customer-search models, and show the model capabilities of predicting the changes in vacant taxi trip distributions with respect to the variations in the fleet size and fare. Potential taxi policies are investigated and discussed according to the findings to provide insights in managing the Hong Kong taxi market. |
Description | The volume is the Special Issue on 21st International Symposium on Transportation and Traffic Theory, Kobe, Japan, 5-7 August 2015 |
Persistent Identifier | http://hdl.handle.net/10722/222077 |
ISSN | 2023 Impact Factor: 7.6 2023 SCImago Journal Rankings: 2.860 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wong, RCP | - |
dc.contributor.author | Szeto, WY | - |
dc.contributor.author | Wong, SC | - |
dc.date.accessioned | 2015-12-21T05:54:50Z | - |
dc.date.available | 2015-12-21T05:54:50Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Transportation Research Part C: Emerging Technologies, 2015, v. 59, p. 147-163 | - |
dc.identifier.issn | 0968-090X | - |
dc.identifier.uri | http://hdl.handle.net/10722/222077 | - |
dc.description | The volume is the Special Issue on 21st International Symposium on Transportation and Traffic Theory, Kobe, Japan, 5-7 August 2015 | - |
dc.description.abstract | In this paper, a two-stage modeling approach is proposed to predict vacant taxi movements in searching for customers. The taxi movement problem is formulated into a two-stage model that consists of two sub-models, namely the first and second stage sub-models. The first stage sub-model estimates the zone choice of vacant taxi drivers for customer-search and the second stage sub-model determines the circulation time and distance of vacant taxi drivers in each zone by capturing their local customer-search decisions in a cell-based network within the zone chosen in the first stage sub-model. These two sub-models are designed to influence each other, and hence an iterative solution procedure is introduced to solve for a convergent solution. The modeling concept, advantages, and applications are illustrated by the global positioning system data of 460 Hong Kong urban taxis. The results demonstrate that the proposed model formulation offers a great improvement in terms of root mean square error as compared with the existing taxi customer-search models, and show the model capabilities of predicting the changes in vacant taxi trip distributions with respect to the variations in the fleet size and fare. Potential taxi policies are investigated and discussed according to the findings to provide insights in managing the Hong Kong taxi market. | - |
dc.language | eng | - |
dc.publisher | Pergamon. The Journal's web site is located at http://www.elsevier.com/locate/trc | - |
dc.relation.ispartof | Transportation Research Part C: Emerging Technologies | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Enhanced sequential logit model | - |
dc.subject | Global positioning system data | - |
dc.subject | Logit-opportunity model | - |
dc.subject | Taxi customer-search behavior | - |
dc.subject | Two-stage approach | - |
dc.title | A two-stage approach to modeling vacant taxi movements | - |
dc.type | Article | - |
dc.identifier.email | Wong, RCP: cpwryan@hku.hk | - |
dc.identifier.email | Szeto, WY: ceszeto@hku.hk | - |
dc.identifier.email | Wong, SC: hhecwsc@hku.hk | - |
dc.identifier.authority | Szeto, WY=rp01377 | - |
dc.identifier.authority | Wong, SC=rp00191 | - |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1016/j.trc.2015.04.029 | - |
dc.identifier.scopus | eid_2-s2.0-84942988206 | - |
dc.identifier.hkuros | 256320 | - |
dc.identifier.volume | 59 | - |
dc.identifier.spage | 147 | - |
dc.identifier.epage | 163 | - |
dc.identifier.isi | WOS:000363349800010 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 0968-090X | - |