考虑地铁站点多方式接驳范围的接运网络配流模型
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摘要
以接运地铁站点的多方式接驳网络内出行者接驳方式选择行为为研究对象,改进既有接驳时间费用的计算方法.本文考虑地铁站点不同接驳方式的接驳范围对出行者选择行为的影响,建立基于Logit-SUE的多方式接驳网络配流模型,并通过算例证明了模型的可行性和有效性.进而分析出行者对路径阻抗感知系数θ、接驳距离增加系数β和共享单车停车位设置距离l?bike对配流结果的影响.结果表明:θ越大,配流结果随机性越弱,实际阻抗越小的接驳方式选择概率越大;β越大,接驳距离越长,步行方式选择概率越小,自行车方式选择概率先增大后减小,而公交方式选择概率则逐渐增大;l?bike越大,自行车方式选择概率越小,公交和步行方式选择概率则越大,且随着β的逐渐增大,l?bike对自行车接驳方式选择概率的影响程度先增加后减小.
Aiming at the choice behavior of travelers in multi-mode network connecting dwelling district and urban rail transit stations, the calculation method of the trip time cost in the multi-mode network is improved,which considered the influences of multiple access modes' attraction areas for urban rail transit stations on choice behavior of the travelers. Then a passenger flow assignment model based on Logit-SUE is established and an example is given compared with the existing method. Finally, the influences of the perceptive coefficient to the trip cost θ, the increasing coefficient of trip distance β and the parking distance of shared bicycles l?bikeon the choice probabilities of different access modes are given. Analysis results indicate that when θ is bigger, the choice probabilities of access modes with low costs are bigger. At the same time, with the gradual increase of β, the distance between dwelling district and the urban rail transit station increases, it leads to the decrease of the choice probability of walking mode and the bus access mode has the opposite trend, meanwhile, the choice probability of bicycle mode increases first and then decreases. Finally, the larger the l?bike, the farther the bicycles are parked, and the choice probability of bicycle mode is reduced, and both the bus mode and the walking mode have the opposite changing trend. And with the increase of l?bike, the influence degree of l?bikeon the choice probability of the bicycle access mode increases first and then decreases.
Aiming at the choice behavior of travelers in multi-mode network connecting dwelling district and urban rail transit stations, the calculation method of the trip time cost in the multi-mode network is improved,which considered the influences of multiple access modes' attraction areas for urban rail transit stations on choice behavior of the travelers. Then a passenger flow assignment model based on Logit-SUE is established and an example is given compared with the existing method. Finally, the influences of the perceptive coefficient to the trip cost θ, the increasing coefficient of trip distance β and the parking distance of shared bicycles l?bikeon the choice probabilities of different access modes are given. Analysis results indicate that when θ is bigger, the choice probabilities of access modes with low costs are bigger. At the same time, with the gradual increase of β, the distance between dwelling district and the urban rail transit station increases, it leads to the decrease of the choice probability of walking mode and the bus access mode has the opposite trend, meanwhile, the choice probability of bicycle mode increases first and then decreases. Finally, the larger the l?bike, the farther the bicycles are parked, and the choice probability of bicycle mode is reduced, and both the bus mode and the walking mode have the opposite changing trend. And with the increase of l?bike, the influence degree of l?bikeon the choice probability of the bicycle access mode increases first and then decreases.
引文
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[5]刘叶,吴戈,周强.基于CNL模型的公共自行车使用模式研究[J].交通运输系统工程与信息,2018,18(1):237-244.[LIU Y,WU G,ZHOU Q.Public bicycle system ridership modes based on CNL model[J].Journal of Transportation Systems Engineering and Information Technology,2018,18(1):237-244.]
[6]城市建设研究院.城市公共交通分类标准[M].北京:中国建筑工业出版社,2007.[Urban Construction Design&Research Institute.Standard for classification of urban public transportation[M].Beijing:China Building Industry Press,2007.]
[7]邵敏华,李田野,孙立军.常规公交乘客对车内拥挤感知阻抗调查与建模[J].同济大学学报(自然科学版),2012,40(7):1031-1034.[SHAO M H,LI T Y,SUN L J.Survey method and model of passengers'cost perception of crowding level in bus[J].Journal of Tongji University(Natural Science),2012,40(7):1031-1034.]
[8]孙杨,孙小年,孔庆峰,等.轨道交通新线投入运营下常规公交网络优化调整方法研究[J].铁道学报,2014,36(3):1-8.[SUN Y,SUN X N,KONG Q F,et al.Methodology of bus network optimization and adjustment under operation of new urban rail transit line[J].Journal of the China Railway Society,2014,36(3):1-8.]