Study on spatio-temporal distribution of Xi′an traffic congestion based on micro-blog
CHEN Hongfei1, ZHANG Xinping1, ZHAO Yanhui1, LIU Guang2, SUN Jiulin1,3*
(1 School of Tourism and Environment Sciences, Shaanxi Normal University, Xi′an 710119, Shaanxi, China; 2 Network Information Center, Shaanxi Normal University, Xi′an 710119, Shaanxi, China; 3 Institute of Geographical Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)
Abstract:
Sina micro-blog data of Xi′an city in the past year was obtained by self-developed data ripping software, and the micro-blog data that expressing traffic congestion was selected by text analysis.Through multiple time scales analysis, the distribution of traffic congestion in the month, week and day were obtained.By using dot density analysis tool and visual processing in ArcGIS 10.2, the spatial distribution of traffic jams were obtained. The results show that, in time scales traffic congestion has the closest connection with residents weekday commuting, holiday travelling, etc. and in space scales, traffic congestion has the closest connection with commercial areas, schools and other high traffic density areas.The study proved that the feasibility of using social media data to study the urban traffic congestion.
KeyWords:
micro-blog; Xi′an city; traffic congestions; spatio-temporal distribution
