Study On The Access Mode Choice Behavior Of BRT Considering Passenger Heterogeneity

In order to effectively alleviate the intra-city traffic pressure caused by the rapid economic development and the continuous improvement of the urbanization level,all cities actively advocate green travel for residents.As an important part of the urban public transport system,BRT carries a large number of residents to complete travel activities every day.However,due to the relatively fixed routes and stations of BRT,the accessibility is low,and it needs to be efficiently connected with other modes of transportation in order to give full play to the rapid transit.The advantages of large bus traffic increase the attractiveness of BRT.In recent years,shared bicycles and shared motorcycles have developed rapidly in cities and have become a new access option for BRT passengers.In the past,when studying travelers’ transportation mode selection behavior,they were usually assumed to be homogeneous rational people or simply classified according to their external attributes,ignoring the role of travelers’ heterogeneity in the process of transportation mode selection.Therefore,this paper studies the selection behavior of BRT passengers by constructing a latent class choice model that considers passenger heterogeneity.Firstly,the basic theory of BRT access characteristics and access mode selection behavior analysis is summarized,and various factors affecting BRT passenger access mode selection are analyzed,based on the theory of extended planned behavior,this paper proposes a psychological decision-making framework for bus rapid transit passenger access mode selection;Secondly,designed a questionnaire on the selection behavior of BRT passengers,and screened and tested the reliability and validity of the collected questionnaires,and then carried out statistical analysis on the basic information of passenger travel and psychological latent variables in the survey results;Then,the structural equation models of four BRT access modes are constructed to explore the psychological decision-making mechanism of passengers when choosing the access mode;Finally,a latent class choice model considering passenger heterogeneity is constructed,and the EM algorithm is used for parameter estimation.The results show that the latent class choice models divides BRT passengers into walking preference group,conventional bus preference group,bicycle and subway preference group,and the three potential classes account for 30.5%,28.6% and 40.9% respectively,taking the access time as the benchmark,the sensitivity difference of each type of passengers to the characteristic attributes of the access mode is obtained;At the level of psychological latent variables,class 1 passengers are more likely to be affected by travel habits,while class 3passengers pay more attention to the difficulty of obtaining access modes;By taking the maximum value of the probability that each sample belongs to three classes,and then calculating the mean value,the result is 0.895,which is close to 1,indicating that the latent class choice model can well distinguish the classes that most passengers belong to;Compared with class 1,females,those over 45 years old,passengers who are more likely to belong to class 2 as the number of passengers increases,middle age group(26-45 years old),higher education or higher income would be more likely to belong to class 3 passengers,and passengers are more likely to belong to classes 2 and 3 when traveling for commuting purposes.