私家车位预订匹配优化模型及计算方法研究

针对现有停车难问题,以共享经济理念充分挖掘私家车位停车资源以供社会停车需求者停放已成为一种新的研究思路。从私家车位供给、资源的优化配置角度出发,提出一种关于私家车位的预订匹配的优化模型与计算方法。以提高共享停车位利用率和停车用户满意度为目标,将停车用户按照偏好的先后顺序依次将以同一偏好预订同一车位的用户与该停车位进行匹配,使得停车位利用率最大的停车用户为最终预订成功的用户。首先,建立停车位预订匹配模型,其次针对该模型利用树和深度优先遍历算法进行求解,最后,通过实例进行验证。研究结果表明,该方法与传统先预订先得的方法相比,用户满意度和停车位利用率较高。

Application of Disaggregated Logit Modeling with Stated Preference Method in Park and Ride Behavior for Non-local Private Car Travelers in Big Events

During big events, non-local private car travelers can be divided into two types which were returning in one day and in several days. It was demonstrated that those two kinds of travelers have distinct behavior on park and ride （P＆R）, due to their different travel demand and behavior attributes. In this paper focusing on the travelers returning in several days, the travel attributes and requirements for P＆R were analyzed with stated preference survey. A P＆R choice behavior disaggregated logit model was established and calibrated based on random utility theory. The model concludes three variables, which were travel time, parking fee and comprehensive attractiveness index for suburban satellite towns comparing to urban district. The results revealed that for travelers returning in several days the primary key point is increasing the attractiveness of suburban satellite towns.