Study on Spatial and Temporal Mobility Pattern of Urban Taxi Services
The analysis of human behavior is the basis of understanding many social phenomena. Based on a large database of taxi billing system, this paper provides an analysis of human mobility data in an urban area of using taxi services in Shanghai. By studying the spatial temporal data of taxi services, it shows that the distribution of running time interval is approximated by Power-law distribution. And it also reflects that the taxi services may have the short-time and small-scaled characteristics, which seems to be consistent with human travel patterns.
Genlang Chen Xiaogang Jin Jiangang Yang
AI Institute, College of Computer Science Zhejiang University Hangzhou, P.R.China 310027 Ningbo Institute of Technology, Zhejiang University Ningbo, P.R.China 315100
国际会议
The 2010 International Conference on Intelligent Systems and Knowledge Engineering(第五届智能系统与知识工程国际会议)
杭州
英文
422-425
2010-11-15(万方平台首次上网日期,不代表论文的发表时间)