基于发生吸引源分布特征的公共自行车网点规模优化模型

为提升公共自行车系统运行效率、推进系统可持续发展,针对租赁网点锁车器规模与用户租还需求不匹配的情况,提出了公共自行车网点规模优化模型.基于公共自行车刷卡数据、锁车器监测数据、实地调研与问卷调查数据,测算了网点吸引范围,提出了影响网点规模的关键因素.在此基础上,遵循步行距离衰减规律、规模叠加效应、发生与吸引平衡的原则,建立了基于发生吸引源分布特征的公共自行车网点规模优化模型,并采用北京市实际数据对模型进行了标定与检验.结果表明:提出的模型精度达到86%,基于发生吸引源的分布特征可以较准确地预测网点规模.

Station Scale Optimization Model of Public Bicycle System Based on Distribution of Generated and Attractive Points

In order to improve the operating efficiency and promote the sustainable development of public bicycle system, to solve the mismatching problem between the scale of public bicycle and the demand of use, a model to optimize public bicycle station scale was proposed. Based on the IC-card data and station monitoring data, the walking attractive radius of station and the influencing factors of station scale were analyzed by conducting field research and questionnaire survey. The station scale optimization model based on the distribution of generated and attractive points was put forward, following the principles of distance decay law, superimposed effect and balance law. In addition, calibration and test work were carried out with actual data of Beijing. The verification result show that the model precision is 86%. It means that the station scale can be calculated well based on the distribution of generated and attractive points. The results provide important theoretical support for the station planning and optimization of public bicycles.