文献类型：期刊文献

英文题名：Spatial-Temporal Analysis on Spring Festival Travel Rush in China Based on Multisource Big Data

作者：Li, Jiwei[1,2];Ye, Qingqing[3];Deng, Xuankai[1,2];Liu, Yaolin[1,2];Liu, Yanfang[1,2]

第一作者：Li, Jiwei

通讯作者：Liu, YL[1];Liu, YF[1];Liu, YL[2];Liu, YF[2]

机构：[1]Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China;[2]Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Peoples R China;[3]Henan Univ Econ & Law, Sch Engn Management & Real Estate, Zhengzhou 450002, Peoples R China

第一机构：Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China

通讯机构：[1]corresponding author), Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China;[2]corresponding author), Wuhan Univ, Key Lab Geog Informat Syst, Minist Educ, Wuhan 430079, Peoples R China.

年份：2016

卷号：8

期号：11

外文期刊名：SUSTAINABILITY

收录：;Scopus(收录号：2-s2.0-85001076444);WOS:【SSCI(收录号:WOS:000389316200103)，SCI-EXPANDED(收录号:WOS:000389316200103)】；

基金：This research was funded by the National Science & Technology Support Program of China (No. 2012BAJ22B02).

语种：英文

外文关键词：Spring Festival travel rush; migration; spatial-temporal analysis; big data; complex network; urban-rural development; regional development

摘要：Spring Festival travel rush is a phenomenon in China that population travel intensively surges in a short time around Chinese Spring Festival. This phenomenon, which is a special one in the urbanization process of China, brings a large traffic burden and various kinds of social problems, thereby causing widespread public concern. This study investigates the spatial-temporal characteristics of Spring Festival travel rush in 2015 through time series analysis and complex network analysis based on multisource big travel data derived from Baidu, Tencent, and Qihoo. The main results are as follows: First, big travel data of Baidu and Tencent obtained from location-based services might be more accurate and scientific than that of Qihoo. Second, two travel peaks appeared at five days before and six days after the Spring Festival, respectively, and the travel valley appeared on the Spring Festival. The Spring Festival travel network at the provincial scale did not have small-world and scale-free characteristics. Instead, the travel network showed a multicenter characteristic and a significant geographic clustering characteristic. Moreover, some travel path chains played a leading role in the network. Third, economic and social factors had more influence on the travel network than geographical location factors. The problem of Spring Festival travel rush will not be effectively improved in a short time because of the unbalanced urban-rural development and the unbalanced regional development. However, the development of the modern high-speed transport system and the modern information and communication technology can alleviate problems brought by Spring Festival travel rush. We suggest that a unified real-time traffic platform for Spring Festival travel rush should be established through the government's integration of mobile big data and the official authority data of the transportation department.