【摘要】 通过宏观调控路内外停车、优化交通结构,缓解成都市中心城区道路交通压力、促进城市发展。从出行者角度出发,充分分析交通方式特性和出行者特性,基于价格杠杆作用机理建立路内停车收费费率阈值模型。采取RP&SP调查法获取数据;运用Biogeme软件对模型参数进行标定,并通过参数值正负号、t-test、统计量和优度比对模型进行检验;结合现状情况,运用Matlab软件求解此模型。结果表明,合理的价格对出行者停车方式选择和交通方式选择行为产生调控作用,当路内停车收费费率上调时,公共交通出行分担率明显提高。该模型精度较高,求解得出成都市四类区域路内停车收费最优费率分别为16.184元·h^-1,14.756元·h^-1,13.272元·h^-1和11.788元·h^-1。在此基础上,针对现行收费标准存在的问题提出时间与空间差异化路内停车收费方案。更多还原

【Abstract】 Through macro-control of on-street and off-street parking behavior and optimizing travel mode share, the road traffic pressure will be alleviated and urban development will be promoted in Chengdu. Based on the mechanism of price leverage and analysis of travelers characteristics, the threshold model for on-street parking charging rates was proposed from the perspective of travelers.Data was obtained by RP & SP survey. Meanwhile, the parameters in the model were calibrated using Biogeme. The model was tested by using parameter symbols, t-test, statistics, and odds ratio. It was solved by Matlab on the basis of the current situation of downtown Chengdu. The results show that the reasonable price has a regulatory effect on the choice of parking mode and travel mode. When the onstreet parking charging rate is increased, the public transportation mode share is significantly increased. The model is of high precision, and the optimal on-street parking charging rates in four types of areas in Chengdu is 16.184, 14.756, 13.272, and 11.788 RMB/h. On this basis, in view of the problems existing in the current charging standard, the paper proposes the on-street parking charging scheme with time and space differentiation for policy makers in Chengdu.更多还原