基于大数据挖掘的城市公交站点生活服务评价方法研究  

Research on big data mining based evaluation method for life service level of urban public transport stops

作　　者：翁小雄[1] 刘永鑫 卢炬康 WENG Xiaoxiong;LIU Yongxin;LU Jukang(School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,China;Guangdong Planning and Designing Institute of Telecommunications,Guangzhou 510630,China)

机构地区：[1]华南理工大学土木与交通学院,广东广州510640 [2]广东省电信规划设计院,广东广州510630

出　　处：《现代电子技术》2019年第2期67-70,共4页Modern Electronics Technique

基　　金：广东省交通运输厅科技项目(2015-02-076)~~

摘　　要：针对目前城市管理中无法准确了解公交站点对居民生活服务真实水平的弊端,在智慧城市与大数据背景下,基于云计算架构,研发一套全自动采集城市地理兴趣点与公交线网结构数据并进行可视化分析的应用平台,提出公交站点生活圈搜索算法以及基于地理兴趣点数据的公交站点生活服务水平评价指标。经验证,该方法可量化评价公交站点的生活服务指数,并准确识别城市各辖区的经济活动中心和衡量生活资源的聚集程度。该方法与应用平台为城市公交站点生活服务水平评价与城市规划提供重要的决策依据。In allusion to the disadvantage of inability to accurately understand the actual resident life service level of public transport stops in the current urban management,a application platform for full-automatic acquisition of urban geographic points of interests(POIs)and bus line network structure data as well as visualization analysis is researched and developed on the basis of cloud computing architecture in the backgrounds of smart city and big data. A searching algorithm for living districts around public transport stops and an evaluation index based on geographic POI data for life service level of public transport stops are proposed. The verification results show that the method can quantitatively evaluate the life service indexes of public transport stops,accurately recognize the economic activity centers of various administrative regions of a city,and measure the gathering degrees of life resources. The method and application platform can provide an important decision-making basis for life service level evaluation of urban public transport stops and urban planning.

关 键 词：智慧城市 公共交通 数据挖掘 地理兴趣点 生活服务水平 小世界效应 

分 类 号：TN919-34[电子电信—通信与信息系统] S511[电子电信—信息与通信工程]