摘要
共享单车的快速发展给城市交通系统带来了极大改变,特别是在城市轨道社区接驳方面,出行者可选择的接驳方式增多,城市接驳服务水平也得到极大提高。但因此也出现了许多问题,首先,共享单车停靠点位置与停靠点规模未进行统一规划,部分停靠点服务范围重叠,共享单车占道现象频生。其次,共享单车接驳方式的出现,对现阶段存在的常规、通勤公交接驳产生了很大影响,有关部门未就此现状进行一体化调整。针对以上问题,提出确定共享单车停靠点、接驳公交线路规划和调度综合调整优化方法,在有限可供选择的公交站、单车停靠点和容量限制的单车停靠点建立综合接驳规划和公交调度综合调整的双层规划模型,其中上层为政府适当兼顾公交与共享单车企业利益追求出行者广义出行成本最小化规划模型,下层为出行者在不同接驳方式中选择的logit模型。采用遗传算法优化求解,以天津市地铁一号线瑞景新苑站的瑞景家园社区为例予以验证,结果表明:优化后广义出行成本降低15.6%,共享单车数量减少41%,公交企业收入提高177元,通勤公交与轨道交通平均换乘时间4.8 min。该方法可解决共享单车停放混乱和接驳公交困境问题,降低出行者接驳成本,最大限度方便出行,提高接驳综合服务水平。
The rapid development of Shared bicycle has brought great changes to the urban transport system,especially in connection planning of urban rail community.The ways of connection that travelers can choose have been increased,and the service level of urban connection has also been greatly improved.However,there are also many problems.First,the location and scale of the stops of shared bicycles are not unified planning,some of the service scope of the stops overlaps,and the phenomenon of shared bicycle occupying road is frequent.Second,the emergence of shared bicycle has a great impact on the existing routine and commuter bus connection at the present stage,relevant departments have not made integrated adjustment on the current situation.To solve the above problems,an integrated optimization method of setting the stops of shared bicycles,adjusting the plan and dispatch for the connection bus lines is proposed.A bi-level programming model of integrated connection planning and bus dispatching adjustment for bus stops with limited options,single vehicle stops and single vehicle stops with limited capacity is established.The upper level is the planning model that government gives due consideration to the interests of public transport enterprise and shared bicycle enterprise to minimize the total travelers’generalized cost.The lower level is the logit model for travellers to choose different connection modes.Genetic Algorithm is used to optimize the solution.The effect is verified by the example of Ruijing Jiayuan community at Ruijing Xinyuan station of Tianjin Metro Line 1.The result shows that the optimized generalized cost can be reduced by 15.6%,the number of shared bicycles can be reduced by 41%,the revenue of public traffic enterprise increased by 177 yuan,the average transfer time of the commuter bus and rail transit is 4.8 min.This method can solve the problems of random chaotic parking of shared bicycles and bus connection dilemma,reduce the cost of traveler connection,and enhance the convenience of travellers and improve the integrated connection service level utmost.
作者
靳爽
庞明宝
JIN Shuang;PANG Ming-bao(School of Civil and Transportation Engineering,Hebei University of Technology,Tianjin 300401,China)
出处
《公路交通科技》
CAS
CSCD
北大核心
2020年第2期123-129,共7页
Journal of Highway and Transportation Research and Development
基金
天津市交通运输科技发展计划项目(2018-36).
关键词
城市交通
城市轨道交通站接驳规划
遗传算法
共享单车
双层规划
urban traffic
connection planning of urban rail transit station
genetic algorithm(GA)
shared bicycle
bi-level programming
作者简介
靳爽(1994-),男,河北石家庄人,硕士.(Jinshuang1994@163.com)
