文献类型：期刊文献

英文题名：Effect of Global Moran's I and Space-time Permutation Scanning Method in Shanghai Metro Traffic Based on Ecological Transportation System

作者：Han, Feng[1];Sui, Fumin[2]

第一作者：韩锋

通讯作者：Han, F[1]

机构：[1]Beijing Union Univ, Teachers Coll, Beijing 100011, Peoples R China;[2]Chinese Acad Social Sci, Inst Econ, Beijing 100836, Peoples R China

第一机构：北京联合大学师范学院

通讯机构：[1]corresponding author), Beijing Union Univ, Teachers Coll, Beijing 100011, Peoples R China.|[1141711]北京联合大学师范学院;[11417]北京联合大学;

年份：2019

卷号：28

期号：107

起止页码：4741-4749

外文期刊名：EKOLOJI

收录：;Scopus(收录号：2-s2.0-85063969223);WOS:【SCI-EXPANDED(收录号:WOS:000461678300532)】；

基金：This paper was supported by National Social Science Fund of China (Grant No. 18FTJ003).

语种：英文

外文关键词：space-time clustering; space-time scan statistics; Shanghai metro card number; geographic information system

摘要：Urban ecological transportation system is a dynamic subsystem. The elements of this system includes urban land, people, vehicles, roads, etc. How to make these elements form an interactive and balanced relationship, directly affecting urban transportation Function play. This paper studies the clustering for Shanghai metro traffic by global Moran's I and space-time permutation scan statistic method. The Data utilized is the Shanghai subway card number data for 281 sites. We found that whether based on the time period of view, or on a comprehensive look at two dimensions of time and space, the Shanghai subway emerged clustering features. The clustering distribution showed Shanghai traffic congestion occurring is a high probability event, and congestion will mainly occur in the assembly zone.