摘要
为了对交通违法行为进行分析,以便于交通管理部门采取科学的交通违法治理措施。利用福州市2016年的交通违法信息数据,运用核密度估计、统计分析、可视分析、Gini指数和层次聚类等方法,分析了福州市的交通违法行为的空间分布及时间分布特征。结果表明:在空间上,福州市的交通违法主要集中在二环以内,且沿地铁一号线聚集分布,在三环外交通违法较少;在时间上,交通违法行为的数量表现出周一至周五比双休日多,非节假日比节假日多的规律;而且6种主要交通违法行为在一年中不同月份呈现集中分布特征。
In order to analyze traffic violations,it is convenient for traffic management departments to take scientific measures to control traffic violations.Based on the data of traffic violations of Fuzhou in 2016,this paper analyzes the spatio-temporal distribution characteristics of traffic violations in Fuzhou with the help of methods such as kernel density estimation,statistical analysis,visual analysis,Gini index and hierarchical clustering.The results show that in terms of space traffic violations mainly gather within the second ring of Fuzhou and along the subway line 1,and fewer traffic violations are outside the third ring;in terms of time,the number of traffic violations on weekdays is more than weekends and holidays;and the six main types of traffic violations indicate gathering distribution characteristics in different months of the year.
作者
杨杰
邬群勇
YANG Jie;WU Qunyong(Spatial Information Research Center of Fujian,Fuzhou University,Fuzhou 350116,China;Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education,Fuzhou University,Fuzhou 350116,China)
出处
《测绘地理信息》
2020年第4期11-15,共5页
Journal of Geomatics
基金
国家自然科学基金(41471333)
中央引导地方科技发展专项(2017L3012)。
关键词
交通违法
地理信息系统
福州市
空间分布
时空分布
traffic violations
geographic information system(GIS)
Fuzhou
spatial distribution
temporal distribution
