collective human mobility pattern from taxi trips in urban area人类集体迁移模式在市区出租车旅行.pdfVIP

Collective Human Mobility Pattern from Taxi Trips in Urban Area 1,2 2 1 3 ` 4 Chengbin Peng , Xiaogang Jin , Ka-Chun Wong , Meixia Shi , Pietro Lio * 1 Mathematical and Computer Sciences and Engineering Division, King Abdullah University of Science and Technology, Jeddah, Kingdom of Saudi Arabia, 2 Institute of Artificial Intelligence, College of Computer Science, Zhejiang University, Hangzhou, China, 3 College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China, 4 Computer Laboratory, Cambridge University, Cambridge, United Kingdom Abstract We analyze the passengers’ traffic pattern for 1.58 million taxi trips of Shanghai, China. By employing the non-negative matrix factorization and optimization methods, we find that, people travel on workdays mainly for three purposes: commuting between home and workplace, traveling from workplace to workplace, and others such as leisure activities. Therefore, traffic flow in one area or between any pair of locations can be approximated by a linear combination of three basis flows, corresponding to the three purposes respectively. We name the coefficients in the linear combination as traffic powers, each of which indicates the strength of each basis flow. The traffic powers on different days are typically different even for the same location, due to the uncertainty of the human motion. Therefore, we provide a probability distribution function for the relative deviation of the traffic power. This distribution function is in terms of a series of functions for normalized binomial distributions. It can be well explained by statistical theories and is verified by empirical data. These findings are applicabl