摘要
共享单车已成为城市慢行的重要模式,为了缓解高峰时期的供应短缺,加快平峰时期的周转率,本文提出了共享单车的差异化定价策略。通过建立共享单车票价的双层规划模型,使用基于粒子群优化的全局定价模型求解算法,实现了出行者的广义出行成本最小化和共享单车企业经济效益最大化的目的。
Shared bicycles have become an important mode of urban slow-moving.In order to alleviate the supply shortage during peak periods and speed up the turnover rate during peak periods,this paper proposes a differentiated pricing strategy for shared bicycles.By establishing a bilevel programming model of shared bicycle ticket price and using the global pricing model solution algorithm based on particle swarm optimization,the goal of minimizing the generalized travel cost of travelers and maximizing the economic benefits of shared bicycle enterprises is achieved.
作者
马骏
李永昌
MA Jun;LI Yongchang(Automobile College of Jinan Vocational College,Shandong Jinan 250103 China;Shandong Provincial Communications planning and Design Institute Group Co.,Ltd.,Shandong Jinan 250101 China)
关键词
共享单车
差异化定价
双层规划模型
粒子群优化算法
shared bicycle
differentiated pricing
bilevel programming model
particle swarm optimization algorithm