华南理工大学学报（自然科学版）2025，Vol.53Issue(8)：20-28,9.DOI:10.12141/j.issn.1000-565X.240455
共享单车与需求响应公交耦合优化研究
Research on the Joint Optimization of Shared Bikes and Demand-Responsive Connector
摘要
Abstract
Demand-Responsive Connector(DRC),as a flexible public transportation mode,can provide personalized bus services according to passengers'needs and has been widely applied in urban areas both domestically and inter-nationally.However,in actual operation,it faces the dilemma of balancing service efficiency and operational costs,as well as the challenge of achieving"door-to-door"services.To address these issues,a joint travel mode combining shared-bike transfer and DRC was proposed.By integrating the advantages of shared bikes and DRC,the coupling op-timization of the two transportation modes can be realized,thereby improving the overall service efficiency and service level of public transportation.To this end,based on the continuous approximation method,discrete demand points and shared bicycle deployment locations were continuousized.The operating costs of the transit system,shared bicycle costs,and passenger travel time costs were derived and calculated.By minimizing the total system cost,the joint mo-bility system was optimized.With the goal of minimizing the total system cost,the coupling optimization of shared bi-cycles and demand-responsive buses was realized.To verify the effectiveness of the proposed joint travel system,an empirical study was conducted using the university town area of Chongqing as a case.The operation of the joint travel system under different scenarios was simulated and compared with the traditional DRC system without shared-bikes.The results show that the joint travel system can effectively address the operational problems of DRC.Compared with the traditional DRC system,the joint travel system can reduce the total system cost by up to 14.8%,the travel time saving by 15.2%,and the detouring saving of DRC vehicles by 29%.It is demonstrated that introducing shared bi-cycles as a first-and last-mile connection tool in demand-responsive transit systems can significantly reduce transit op-erating costs and passenger travel times.At the same time,it minimizes unnecessary detours by transit vehicles,opti-mizes transit routes,and greatly improves the efficiency and quality of public transportation services.关键词
城市交通/耦合优化/连续近似/需求响应公交/共享单车Key words
urban traffic/joint optimization/continuous approximation/demand-responsive connector/shared bike分类
交通工程引用本文复制引用
许航,李欣,袁昀..共享单车与需求响应公交耦合优化研究[J].华南理工大学学报（自然科学版）,2025,53(8):20-28,9.基金项目
国家自然科学基金项目(52272317) （52272317）
大连海事大学中央高校基本科研业务费专项资金项目(0172412418)Supported by the National Natural Science Foundation of China(52272317) （0172412418）
