|Table of Contents|

[1] Mei Zhenyu, Chen Jun, Wang Wei, et al. Curb parking pricing method based on parking choice behavior [J]. Journal of Southeast University (English Edition), 2006, 22 (4): 559-563. [doi:10.3969/j.issn.1003-7985.2006.04.024]
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Curb parking pricing method based on parking choice behavior()
基于停车选择行为的路内停车定价方法
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
22
Issue:
2006 4
Page:
559-563
Research Field:
Traffic and Transportation Engineering
Publishing date:
2006-12-30

Info

Title:
Curb parking pricing method based on parking choice behavior
基于停车选择行为的路内停车定价方法
Author(s):
Mei Zhenyu1;  2;  Chen Jun2;  Wang Wei2
1 College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310027, China
2 School of Transportation, Southeast University, Nanjing 210096, China
梅振宇1;  2;  陈峻2;  王炜2
1浙江大学建筑工程学院, 杭州 310027; 2东南大学交通学院, 南京 210096
Keywords:
curb parking;  parking choice behavior;  utility function;  incremental assignment
路内停车;  停放选择;  效用函数;  容量加载
PACS:
U491.7
DOI:
10.3969/j.issn.1003-7985.2006.04.024
Abstract:
In order to improve the use efficiency of curb parking, a reasonable curb parking pricing is evaluated by considering individual parking choice behavior.The parking choice behavior is analyzed from micro-aspects, and the choice behavior utility function is established combining trip time, search time, waiting time, access time and parking fee.By the utility function, a probit-based parking choice behavior model is constructed.On the basis of these, the curb parking pricing model is deduced by considering the constrained conditions, and an incremental assignment algorithm of the model is also designed. Finally, the model is applied to the parking planning of Tongling city.It is pointed out that the average parking time of curb parking decreases 34%, and the average turnover rate increases 67% under the computed parking price system.The results show that the model can optimize the utilization of static traffic facilities.
为了提高整个城市停车场的使用效率, 在考虑个体停车选择行为的基础上, 确定合理的路内停车定价.采用微观上分析车辆停放的选择过程, 结合车辆停放者的行程时间、停车场搜索时间、停车等待时间、出口时间和停车场自身费用建立当前停车场的选择效用函数, 通过效用函数建立了车辆停放者的概率选择模型, 通过考虑停车选择的约束条件, 在提高整个停车设施使用效率的前提下建立路内停车定价模型, 并设计了容量加载方法作为求解模型的算法.通过铜陵市实例验证, 计算的停车价格体系使路内停车平均停放时间降低了34%, 周转率提高了67%, 结果显示该模型能有效优化静态交通设施资源的利用.

References:

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[5] Prevost Fabien.Curb parking:theory and model[M].Berkeley: Institute of Transportation Studies of University of California, 1978:72-76.
[6] Mei Zhenyu.Research on optimization method of setting urban curb parking facilities[D].Nanjing:School of Transportation of Southeast University, 2006:92-101.(in Chinese)
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Memo

Memo:
Biography: Mei Zhenyu(1979—), male, doctor, meizhenyu2002@163.com.
Last Update: 2006-12-20