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中文摘要：
研究乘客路径选择行为有助于掌握城市轨道交通网络客流分布规律.本文在分析城市轨道交通乘客路径选择行为影响因素的基础上,重点考虑换乘时间对乘客换乘费用感知的影响.实际调查表明,乘客感知的换乘走行时间与实际的换乘走行时间符合幂函数分布.本文将换乘走行时间惩罚系数设定为换乘走行时间的幂函数.在此基础上,本文构建了乘客出行广义费用模型,采用改进的深度优先算法搜索两点间的有效路径,并利用Logit随机路径选择模型计算各有效路径的选择概率.最后,以北京市轨道交通网络的数据对提出的模型和算法进行验证,案例分析结果验证了本文提出的模型的合理性.
英文摘要：
Understanding the passengers’behavior of route choice in urban rail transit systems is of great importance to predict the distribution of passenger flow in urban rail transit network. In this paper, the effect of transfer walking time on the perceptive time of passengers is surveyed and the distribution of the perceptive time follows power function. Then, a generalized travel cost model is presented. The improved depth priority searching algorithm is used to attain the effective paths for passengers, and a Logit-based model is developed to estimate the probability of each effective-path to be chosen. Finally, the model and algorithm are verified with the data from the Beijing urban rail transit network. It shows that the proposed model is reasonable and effective by comparing with other models.
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