Optimal Transit Network Design Considering Economic Benefits Of Electric Bus

Efficient transit network design is of great practical significance to improve the service quality and overall efficiency of public transit system,and increase the attraction of transit system.The application of new energy buses is one of the important measures in response to the national policy of promoting the development of new energy vehicles.With the advantages of low carbon and environmental protection,the proportion of electric buses in urban public transport system is increasing day by day.Therefore,by exploring the impact of economy and low carbon of electric buses on public transport system,the research on bus network optimization based on network structure is conducted.The research is of great significance to reduce greenhouse gas emission,improve service quality and operation efficiency of transit system and reduce agency costs.At present,the existing optimization method of transit network design based on the network structure mostly idealizes the distribution of passengers' travel demand without considering the actual characteristics of passenger flow.The influence of the penetration rate of electric buses is seldom considered.In this context,the transit network structure is considered by combining the rule the actual passenger flow distribution in this thesis.The optimization model of transit network design considering the economic value and low carbon benefit of electric buses is studied.Firstly,the fundamental theory research of transit network design is conducted.Based on the advanced experience of transit network design at home and abroad,different methods of transit network optimization design are compared and analyzed.The analytical model of transit network design which is based on network structure,its algorithm and the evaluation index of transit network optimization are emphasized.Different methods of transit network optimization design provide theoretical basis for the development,solving and application of the optimization model in this thesis.Secondly,the characteristics of electric buses and passenger flow distribution are analyzed.Taking the operation cost and CO2 emission as the research object,the comparative analysis of different types of electric buses and traditional buses is conducted.By integrating of various basic data of public transit system,the characteristics of transit passenger flow are analyzed from the perspectives of spatial distribution,time distribution and space-time combination distribution.The comparative analysis of different types of electric buses and traditional buses and the analysis of characteristics of transit passenger flow provide theoretical and data support for the selection and determination of parameters in the proposed model.Thirdly,.the proposed model is developed and solved The model is developed to design transit network for cities where the road presents a grid pattern.The network consists of main routes and minor routes,which presents a hybrid structure of grid and hub-and-spoke.The objective function is the minimization of the sum of agency costs,the user costs and environmental costs.The algorithm is designed and calculated to obtain the decision variables,including the stop spacing,headway,and penetration rates of electric buses.Finally,the case study is conducted.The main urban area of Beijing is selected as a case study.The proposed method of transit network design is applied.The optimal decision variable of transit network design is obtained.The results are analyzed and compared.The sensitivity of model parameters is also analyzed.The results indicate that the proposed model is of good validity and stability.