摘要
公交站点的布局影响了整个公交系统的运行效率与服务品质。评价或优化站点布局的文献对公交服务的供需匹配程度的关注较少。基于此不足,综合使用了密度分析和空间自相关方法来研究公交服务需求与供纟合的匹配程度,并以此为依据评价站点的布局情况。以武汉市主城区为例的硏究结果表明:(1)整体上看:研究区域內公交服务的需求与供给匹配良好,公交站点的分布基本满足来自职住分布的需求。(2)局域上:部分公交站点的设置存在问题,对应区域存在供需失配现象,基于空间统计的方法表明,该失配现象在少部分站点所在区域相对更明显。本文中的方法可应用于公交站点布局实际案例的评估,亦可应用于相关站点布局优化方法的效果评价。
Bus stop locations may influence the efficiency and level of service of the public transport system. Estimating or optimizing stop locations requires considering the coupling level between demand and supply of bus service, which has been ignored more or less in relevant literatures. To overcame this shortcoming of existing researches, we adopted the kernel density estimation(KDE) and spatial correlation analyses to assess the bus stop placement in consideration of the coupling level between job-housing locations and bus stop locations. A case study in Wuhan, China, was carried out, which shows that:(1) From the global perspective, the layout of overall bus stops generally meets the needs coming from jobs and housing demand.(2) From the local perspective: there exist spatial mismatches between some bus stop locations and jobs and housing demands in certain area of the city, while the spatial statistical outcomes also imply that such imbalance phenomenon is more distinct on certain bus stops. The methods of this research can be used to assess either the layout of bus stops of actual cases or the outcomes of certain optimizing methods of bus systems.
作者
李博闻
黄正东
刘稳
LI Bowen;HUANG Zhengdong;LIU Wen
出处
《现代城市研究》
CSSCI
2019年第5期99-105,共7页
Modern Urban Research
关键词
公交站点分布
职住分布
莫兰指数
bus stop locations
jobs-housing locations
Moran's I
