Parking Pricing and Model Split under Uncertainty
In order to investigate different route choice criteria in a competitive highway/park-and-ride (P&R) network with uncertain travel times on the road, a bilevel programming model for solving the problem of determining parking fees and modal split is presented. In the face of travel time uncertain...
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Online Access: | http://dx.doi.org/10.1155/2014/679719 |
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doaj-c36d5947637948898e80352951e349c32020-11-24T22:50:46ZengHindawi LimitedDiscrete Dynamics in Nature and Society1026-02261607-887X2014-01-01201410.1155/2014/679719679719Parking Pricing and Model Split under UncertaintyChengjuan Zhu0Bin Jia1Linghui Han2Ziyou Gao3State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, ChinaState Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, ChinaMOE Key Laboratory for Urban Transportation Complex Systems Theory, Beijing Jiaotong University, Beijing 100044, ChinaMOE Key Laboratory for Urban Transportation Complex Systems Theory, Beijing Jiaotong University, Beijing 100044, ChinaIn order to investigate different route choice criteria in a competitive highway/park-and-ride (P&R) network with uncertain travel times on the road, a bilevel programming model for solving the problem of determining parking fees and modal split is presented. In the face of travel time uncertainty, travelers plan their trips with a prespecified on-time arrival probability. The impact of three route choice criteria: the mean travel time, the travel time budget, and mean-excess travel time, is compared for parking pricing and modal split. The model at user equilibrium is described as a minimization model. And the analytic solutions are given. Analytic solutions show that both flow and travel time at equilibrium are independent of the price difference of travel expense on money. The main findings from the numerical results are elaborated. While given a confidence level, the flow on the highway changed significantly with the criteria, although the differences of the travel times are small. Travelers can be guided to choose their modes coordinately by improving the quality of the transit service. The optimal parking fees can be affected markedly by the confidence level. Finally, the influence of the log-normal distribution parameters is tested and analyzed.http://dx.doi.org/10.1155/2014/679719 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chengjuan Zhu Bin Jia Linghui Han Ziyou Gao |
spellingShingle |
Chengjuan Zhu Bin Jia Linghui Han Ziyou Gao Parking Pricing and Model Split under Uncertainty Discrete Dynamics in Nature and Society |
author_facet |
Chengjuan Zhu Bin Jia Linghui Han Ziyou Gao |
author_sort |
Chengjuan Zhu |
title |
Parking Pricing and Model Split under Uncertainty |
title_short |
Parking Pricing and Model Split under Uncertainty |
title_full |
Parking Pricing and Model Split under Uncertainty |
title_fullStr |
Parking Pricing and Model Split under Uncertainty |
title_full_unstemmed |
Parking Pricing and Model Split under Uncertainty |
title_sort |
parking pricing and model split under uncertainty |
publisher |
Hindawi Limited |
series |
Discrete Dynamics in Nature and Society |
issn |
1026-0226 1607-887X |
publishDate |
2014-01-01 |
description |
In order to investigate different route choice criteria in a competitive highway/park-and-ride (P&R) network with uncertain travel times on the road, a bilevel programming model for solving the problem of determining parking fees and modal split is presented. In the face of travel time uncertainty, travelers plan their trips with a prespecified on-time arrival probability. The impact of three route choice criteria: the mean travel time, the travel time budget, and mean-excess travel time, is compared for parking pricing and modal split. The model at user equilibrium is described as a minimization model. And the analytic solutions are given. Analytic solutions show that both flow and travel time at equilibrium are independent of the price difference of travel expense on money. The main findings from the numerical results are elaborated. While given a confidence level, the flow on the highway changed significantly with the criteria, although the differences of the travel times are small. Travelers can be guided to choose their modes coordinately by improving the quality of the transit service. The optimal parking fees can be affected markedly by the confidence level. Finally, the influence of the log-normal distribution parameters is tested and analyzed. |
url |
http://dx.doi.org/10.1155/2014/679719 |
work_keys_str_mv |
AT chengjuanzhu parkingpricingandmodelsplitunderuncertainty AT binjia parkingpricingandmodelsplitunderuncertainty AT linghuihan parkingpricingandmodelsplitunderuncertainty AT ziyougao parkingpricingandmodelsplitunderuncertainty |
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