Next Article in Journal
Sustainability Assessment in Automotive and Electronics Supply Chains—A Set of Indicators Defined in a Multi-Stakeholder Approach
Previous Article in Journal
The Delimitation of Urban Growth Boundaries Using the CLUE-S Land-Use Change Model: Study on Xinzhuang Town, Changshu City, China
Article Menu

Export Article

Open AccessArticle
Sustainability 2016, 8(11), 1184; doi:10.3390/su8111184

Spatial-Temporal Analysis on Spring Festival Travel Rush in China Based on Multisource Big Data

1
School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China
2
Key Laboratory of Geographic Information Systems, Ministry Education, Wuhan University, Wuhan 430079, China
3
School of Engineering Management and Real Estate, Henan University of Economics and Law, Zhengzhou 450002, China
*
Authors to whom correspondence should be addressed.
Academic Editor: Tan Yigitcanlar
Received: 21 September 2016 / Revised: 30 October 2016 / Accepted: 13 November 2016 / Published: 17 November 2016
(This article belongs to the Section Sustainable Urban and Rural Development)
View Full-Text   |   Download PDF [6537 KB, uploaded 18 November 2016]   |  

Abstract

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. View Full-Text
Keywords: Spring Festival travel rush; migration; spatial-temporal analysis; big data; complex network; urban-rural development; regional development Spring Festival travel rush; migration; spatial-temporal analysis; big data; complex network; urban-rural development; regional development
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Li, J.; Ye, Q.; Deng, X.; Liu, Y.; Liu, Y. Spatial-Temporal Analysis on Spring Festival Travel Rush in China Based on Multisource Big Data. Sustainability 2016, 8, 1184.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top