基于改进MNL模型的地铁换乘区路径选择

发布时间：2018-10-30 20:23

【摘要】：以行人路径的完整过程为研究基础,分析组成路径的不同设施对行人路径选择以及路径效用的影响,同时对同种类型设施在不同路径中的效用值做了深入的调查分析,并根据效用最大化理论,建立了改进的Multinomial Nested Logit(MNL)模型和路径效用函数。通过对轨道换乘车站行人路径选择的跟随问询调查,研究影响行人在轨道车站换乘区域内路径选择的因素。根据效用最大化理论,建立了改进的Multinomial Nested Logit(MNL)模型和路径效用函数。以北京市地铁国贸站换乘调查数据为基础,标定了模型参数。模型分析表明:行人在轨道车站换乘区域的路径选择与出行目的及各交通换乘设施的走行时间有关;同时,路径重复系数对路径效用的影响较大,进而影响路径选择行为,佐证了行人对拥挤路径的规避行为;得到的模型具有很高的精度,为评价和提高轨道换乘车站设施服务效率提供理论依据。
[Abstract]:Based on the complete process of the pedestrian path, this paper analyzes the influence of the different facilities that make up the path on the pedestrian path selection and path utility, and makes a deep investigation and analysis on the utility value of the same type of facilities in different paths. Based on the utility maximization theory, the improved Multinomial Nested Logit (MNL) model and path utility function are established. By investigating the pedestrian path selection of rail transfer station, the factors influencing the pedestrian path selection in the railway station transfer area are studied. According to the utility maximization theory, the improved Multinomial Nested Logit (MNL) model and path utility function are established. The model parameters are calibrated on the basis of the transfer survey data of Beijing Metro International Trade Station. The model analysis shows that the path choice of pedestrians in the transfer area of rail station is related to the purpose of the trip and the travel time of the traffic transfer facilities. At the same time, the path repetition coefficient has a great influence on the path utility, and then affects the path choice behavior, which proves the pedestrian's evading behavior to the crowded path. The obtained model has a high accuracy and provides a theoretical basis for evaluating and improving the service efficiency of rail transfer station facilities.
【作者单位】：北京工业大学交通工程北京市重点实验室;航天科工智慧产业发展有限公司;
【基金】：国家自然科学基金青年科学基金项目(50308018)
【分类号】：U491;U291.75

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