基于志愿者轨迹数据的居民出行偏好分析及引导  

Analysis and Guidance of Residents’ Travel Preferences Based on the Data of Volunteers’ Trajectories

作　　者：何桂林 马林兵[1,2] 周博 杨昌兰 吴苏杰 HE Guilin;MA Linbing;ZHOU Bo;YANG Changlan;WU Sujie(School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China;Guangdong Key Laboratory for Urbanization and Geo-simulation, Guangzhou 510275, China;Guangzhou Urban Planning and Design Survey Research Institute, Guangzhou 510060,China)

机构地区：[1]中山大学地理科学与规划学院,广州510275 [2]广东省城市化与地理环境空间模拟重点实验室,广州510275 [3]广州市城市规划勘测设计研究院,广州510060

出　　处：《地域研究与开发》2020年第1期65-70,共6页Areal Research and Development

基　　金：国家自然科学基金项目(41431178);广东省自然科学基金重点项目(2016A030311016);广东省科技计划项目(2016A010101015)

摘　　要：以北京市2007年4月到2012年8月期间182位志愿者的出行轨迹数据为基础,运用一种改进的K最近邻算法和划分网格法聚类分析了志愿者每个轨迹点的出行方式,针对工作日和非工作日计算并分析了城市居民在北京五环区域范围内对个人交通、公共交通和健康出行3种出行方式的选择频率,揭示了研究区域内居民的出行偏好,提出了鼓励公共交通和健康出行的引导建议。结果表明:1)居民往返五环外和市中心更倾向于选择公共交通方式,出行距离长短与出行目的有关,居民非工作日期间在五环、四环附近对公共交通需求大;2)居民在主要商圈和公园附近的活动以及非工作日短距离通勤更倾向于选择健康出行方式;3)居民非工作日选择个人交通和公共交通方式出行的范围较工作日更广阔,而居民非工作日采用健康出行的范围较工作日更狭窄。Based on the trip trajectory data of 182 volunteers between April 2007 and August 2012 in Beijing,this paper calculates and analyzes the choice frequency of three modes of transportation of urban residents on personal transportation,public transport and healthy travel within the five ring area of Beijing by using an improved K-nearest neighbor algorithm and a grid clustering method to analyze the trip patterns of each locus of volunteers.This paper reveals the trip preference of residents in the study area,and puts forward some suggestions for encouraging public transportation and healthy trip.The results show that:1)Residents are more likely to choose public transport when they travel from five ring area to the city center;trip distance is related to the purpose of trip;residents have a large demand for public transportation in the five ring and four-ring roads during the nonworkdays.2)Residents are more likely to choose a healthy way of trip in the main business circle and near the park,as well as in nonworkdays.3)In nonworkdays,the range of personal transportation and public transportation is more extensive than the working days,and residents are less likely to use healthy trip in nonworkdays.

关 键 词：出行偏好 轨迹数据 K最近邻算法 北京市 

分 类 号：U491[交通运输工程—交通运输规划与管理]