摘要
为处理好互联网租赁自行车与轨道交通、汽车公交的竞争与合作关系,提高公共交通出行效率,优化公共交通网络,通过建立互联网租赁自行车-公交系统站的配置模型,将互联网租赁自行车站点配置融入公共交通网络规划中。利用Space L模型、Space P模型分别构建公交系统有向网络模型,在此基础上,针对由复杂网络拓扑特性得出的公交系统网络中重要度低的节点,结合自行车接驳距离模型以及汽车公交线路最优站间距的确定,建立互联网租赁自行车-公交系统站的配置模型。该模型最终确定自行车配置站点时,需要综合分析站点及其所在线路相关网络信息、环境信息,对汽车公交线路进行调整,进而达到通过配置自行车站点优化现有城市交通线网的目的。最后以天津为例,对天津市1 273个站点,311条线路建立天津市公交系统网络,选取网络中度值较低的14个站点所在线路进行优化配置,并利用复杂网络拓扑特性指标对优化前后交通网络进行分析评价。结果表明:优化后的公共交通网络平均出行站点数量降低了1. 94%,平均换乘次数降低了4. 15%。验证了互联网租赁自行车-公交系统站的配置模型的合理性,通过合理配置自行车站点,在保证公共交通网络覆盖率不变的前提下,节约站点数量,提高了站点利用率及公共交通出行效率。
In order to handle the competition and cooperative relationship among rail transit,bus and sharing bicycle,to improve public transport travel efficiency,and to optimize the public transport network,the configuration of internet rental bicycle is integrated into the public transport network planning by establishing the configuration model of internet rental bicycle-transit system station. Space L model and Space P model are used respectively to construct the bus network oriented network model. On this basis,aiming at the node of low importance in the bus system network which is derived from the topological characteristics of complex network,the internet rental bicycle-bus system station is established based on the bicycle connection distance model and determination of the optimal station spacing of bus lines. When the model finally determines the bicycle configuration site,it is necessary to comprehensively analyze the network information,the environment information of the station and the routes,and to adjust the bus routes,so as to achieve the objective of optimizing the existing urban traffic line network by configuring bicycle stations. Finally,taking Tianjin forexample,the network system of Tianjin public transit for 1 273 stations and 311 routes in Tianjin is established the routes of 14 stations with lower network median are selected for optimal configuration,and the traffic networks before and after optimization are analysed and evaluated by using the index of complex network topological characteristics. The result shows that the average number of travel sites in the optimized public transport network is reduced by 1. 94%,and the average transfer coefficient is reduced by 4. 15%. It is validated the rationality of the configuration model of internet rental bike-transit system stations. By reasonably configuring bike stations,the number of stations is saved,the utilization rate of buses and the efficiency of public transport trips are improved under the premise of ensuring the same coverage of public transpo
作者
孙文霞
赵晓娟
马晓静
SUN Wen-xia;ZHAO Xiao-juan;MA Xiao-jing(School of Civil Engineering and Transportation,Hebei University of Technology,Tianjin 300401,China)
出处
《公路交通科技》
CAS
CSCD
北大核心
2018年第10期111-116,共6页
Journal of Highway and Transportation Research and Development
基金
河北省科技计划项目(15456132)
关键词
交通工程
自行车站点配置
复杂网络
城市公共交通
网络规划
traffic engineering
bike station configuration
complex network
urban public transport
network planning
