Optimization model of urban parking fare based on equilibrium flow

LIN Zhan; SI Bing-feng; HU Hui; JIANG Ming-qing; YANG Xiao-bao

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LIN Zhan, SI Bing-feng, HU Hui, JIANG Ming-qing, YANG Xiao-bao. Optimization model of urban parking fare based on equilibrium flow[J]. Journal of Traffic and Transportation Engineering, 2014, 14(5): 82-89.

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LIN Zhan, SI Bing-feng, HU Hui, JIANG Ming-qing, YANG Xiao-bao. Optimization model of urban parking fare based on equilibrium flow[J]. Journal of Traffic and Transportation Engineering, 2014, 14(5): 82-89.

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Optimization model of urban parking fare based on equilibrium flow

1.
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
2.
Department of Civil and Environmental Engineering, University of Waterloo, Waterloo N2L 3G1, Ontario, Canada
3.
School of Automobile, Chang'an University, Xi'an 710064, Shaanxi, China

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Author Bio:
LIN Zhan(1974-), male, doctoral student, +86-10-51684589, 08114221@bjtu.edu.cn

SI Bing-feng(1972-), male, associate professor, PhD, +86-10-51684589, bfsi@bjtu
Received Date: 2014-05-18
Publish Date: 2014-10-25

Abstract

Abstract

Based on stochastic user equilibrium principle, the route choice and parking choice behaviors of travelers were analyzed, and the urban road parking assignment model meeting the logit relation was set up.Based on the revenue management ideology, the maximum parking revenue was taken as decision target, the bi-level programming model of urban parking fare was set up, and the example verification was carried out by using a small-size network with 7 nodes and 2 parking plots.Analysis result shows that when parking demand is 10 000 pcu·h^-1, the parking flow will continue to shift from parking plot 2 to parking plot 1 with the increase of parking fare of plot 2, the parking revenue of parking plot 1 increases unceasing though its fare has no change.The total parking revenue reaches the maximum value when the parking fare of plot 2 is 4 yuan·h^-1.When parking demand is 20 000 pcu·h^-1, the total parking revenue will continue to increase with the increase of parking fare.On the other hand, the game relation exists betweenthe two parking plots and there is a Nash equilibrium point.In the case of 10 000 pcu·h^-1, the optimal fare is 5 yuan·h^-1 for the two parking plots, while the optimal fare is ceiling price 10 yuan·h^-1 in the case of 20 000 pcu·h^-1.
- traffic planning,
- parking fare,
- bi-level programming,
- revenue management,
- user equilibrium

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References

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