低出行密度下的通道型响应式公交路径优化OA

[Background]The phenomenon of"separation of work and residence"caused by the de-velopment of urban suburbanization has intensified the operational burden and service supply diffi-culty of public transit in low-density areas.[Objective]Therefore,a design method for public trans-portation service areas based on the distribution characteristics of residents'travel is proposed,and a responsive public transportation path optimization model is further constructed to improve the inten-sive operation level and economic benefits of the public transportation system.[Method]Firstly,a channel service area design model based on travel density was constructed to determine the width of the public transportation service area;Then,with the goal of minimizing the total system cost,a chan-nel-based responsive bus route optimization model with time windows and simultaneous passenger pick-up and drop-off constraints was constructed,and an improved artificial bee colony algorithm was designed for targeted solution.[Data]Based on the OD data of passenger flow in Lufeng City,it is found that under the phenomenon of"separation of work and residence"in small and medium-sized cities,passenger flow has the characteristic of"channel travel",which provides data support for problem analysis and model training.[Conclusion]Compared with the traditional responsive bus model,it is found that in low travel density areas of small and medium-sized cities,the channel based responsive public transportation path optimization model can reduce comprehensive costs by 43.0%,save passenger travel time by 39.8%,and significantly improve the economic benefits and service quality of public transportation.