Research On Bike And Ride Mode Involved In Trip Chains

With the process of rapid urbanization,the energy consumption is becoming more and more prominent in the transportation system.In order to achieve the objectives of emission peak and carbon neutrality,it is important to improve the service level of green transportation.The bike-and-ride mode combines both bicycle and public transit superiorities,which could significantly reduce the carbon emission during residents’ daily travel activities.Because bicycles are widely used in the bike-and-ride mode,some problems have occurred during the traffic connection process.The growth of bicycle volume causes chaos at the surrounding bus or subway stations,which has plagued the management department for a long time.In addition,fewer studies focus on traveler’s shifting behaviors of bike-and-ride,and the application of travel planning algorithms also is less efficient,which reduces the service level and the attraction of bicycle and public transport.In this paper,some shared bike data are chosen as representatives of bicylists.A method is firstly proposed to extract traveler’s transfer behaviors by establishing buffer zone about public transport stations.The order data are analyzed and classified with respect to transit targets together with the transit volumes and frequencies,cycling durations,distances and speeds.In addition,it is also analyzed for the difference of the cycling and transfer behaviors between bus and subway stations.Secondly,based on the characteristics of trip chains and cyclists,a method is proposed to identify and classify cycling trip chains together with analyzing their patterns.In order to explore the user profiles of cycling trip chains,an algorithm is designed to identify the land use type,which is based on points of interest data.The main travel purpose is analyzed for different cycling trip chains.Thirdly,a selection model is developed to deal with the dilemma of traveling selection in the transfer hub,which considers the cost,time and comfort aspects to travelers.The data are collected by the stated preference survey for parameters fitting and indicate the influence of travelers’ personal attributes,travel time and travel purpose on the transfer selection behavior.Furthermore,the selection model is applied to three kinds of scenarios with different travel distances.Finally,the community of Tiantongyuan in Beijing is chosen as an example of case study.Topics such as the distribution of cycling trip chains,the transfer behavior pattern of rail transit stations and the development status of its bike-and-ride system are discussed by using the method of field investigation and data analysis.Some suggestions are given to improve the road cycling environment and the service level of transfer hub.The paper focuses on the topics for satisfying needs of travels and administrators.It explores the classification and user profiles of cycling trip chains together with the behaviors of travelers in the transfer hub selection.Based on the research results,some strategies are presented to improve the cycling service level,which is consistent with travelers’ behaviors and psychology.The research in the paper will contribute to the combination of the self-organized riding system and the organized public transportation for the planning and construction of the bike-and-right system in the future.