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基于随机连续平衡模型的停车换乘需求 被引量:5

Park and ride demand based on stochastic continuum equilibrium model
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摘要 为了分析出行者的停车换乘需求分布特性,本文假设在轨道交通和城市主干道的单中心城市中,出行需求均匀分布,轨道交通上有连续分布的站点,基于效用理论构建了考虑出行者出行方式(小汽车、轨道交通、停车换乘)和换乘地点选择的分层非集计模型,利用随机连续平衡模型方法并结合算例,得出:停车换乘需求在一定距离范围内呈现高峰,停车换乘需求总量随着换乘时间的增加而减少;各换乘点均吸引了一些回程换乘需求,但需求强度较小,从城市周边吸引换乘需求量较大,需求强度随着与换乘点距离的增加而减少;当换乘停车场容量受限制时,停车换乘需求者会改变换乘点的选择。研究结果对停车换乘设施规划建设具有一定的参考价值。 It was assumed that the travel demand density is uniformly distributed along the corridor in a monocentric city with railway and main roads and the railway has the continuously distributed stations to analyze the traveller park and ride demand distribution characteristics. A hierarchical disaggregated model was proposed considering the traffic mode choice including the car, the railway, the park and ride, and the parking lot. By the method of stochastic continuum equilibrium model in combination with numerical examples, it was found that the park and ride demand appears highest at a certain distance range and decreases with the increase of the transfer time. The park and ride lots attract some, although relatively small backward ride demand. Large park and ride demand comes from the peripheral of the city and the demand intensity decreases with the increase of the distance to the lots. When the parking lot capacity is restricted, the park and ride traveller may change the transfer lot. These results provide a reference for the planning and construction of the park and ride facilities.
出处 《吉林大学学报(工学版)》 EI CAS CSCD 北大核心 2012年第2期321-326,共6页 Journal of Jilin University:Engineering and Technology Edition
基金 '十一五'国家科技支撑计划项目(2006BAJ18B06) 北京市自然科学基金项目(8102007)
关键词 交通运输工程 停车换乘 随机连续平衡模型 换乘时间 回程换乘 engineering of communications and transportation park and ride stochastic continuumequilibrium model transfer time backward ride demand
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参考文献6

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