Journal of South China University of Technology (Natural Science Edition) ›› 2010, Vol. 38 ›› Issue (7): 78-83.doi: 10.3969/j.issn.1000-565X.2010.07.014

• Traffic & Transportation Engineering • Previous Articles     Next Articles

Evaluation of Parking Pricing Policy Based on Bayesian Network

Zong Fang  Zhang Hui-yong  Jia Hong-fei   

  1. College of Traffic,Jilin University,Changchun 130022,Jilin,China
  • Received:2009-12-14 Revised:2010-04-21 Online:2010-07-25 Published:2010-07-25
  • Contact: 宗芳（1979-）,女,讲师,博士,主要从事运输系统规划与管理研究. E-mail: jlu.zf@163.com.
  • About author:宗芳（1979-）,女,讲师,博士,主要从事运输系统规划与管理研究.
  • Supported by:

    国家自然科学基金资助项目（50908099）; 教育部博士点基金——新教师基金资助项目（200801831088）; 吉林大学基本科研业务费项目（200903214）

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Abstract:

In this paper,first,a Bayesian network for parking behavior analysis is constructed based on the structure and parameter learning by means of K2 algorithm and Bayesian evaluation. Then,with the help of junction-tree propagation algorithm,the variations of parking starting time,parking duration and parking lot type with the parking fee are analyzed. Finally,the effect of parking pricing policy is predicted and the feasibility of the policy is evaluated. The results indicate that high parking fee may shorten the parking duration,that a disequilibrium pricing policy,that is,high parking fee for peak-period parking and on-road parking,may result in non-peak and off-road parking.

Key words: Bayesian network, parking pricing, parking behavior, K2 algorithm