A study of human mobility behavior dynamics: A perspective of a single vehicle with taxi |
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| Institution: | 1. Department of Transport Engineering, Polytechnic School at University of São Paulo, São Paulo 05508-070, SP, Brazil;2. Center for Metropolitan Studies and Laboratory for Geospatial Analysis at Polytechnic School at University of São Paulo, São Paulo 05508-070, SP, Brazil;3. World Bank Group, 1818 H Street NW, Washington, D.C., 20433, United States;1. Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing 100871, China;2. Beijing Key Lab of Spatial Information Integration & Its Applications, Peking University, Beijing 100871, China;3. Department of Urban and Economic Geography, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China;4. Collaborative Innovation Center of eTourism, Tourism College, Beijing Union University, Beijing 100101, China |
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| Abstract: | In this paper, we first research on the distance distribution of human mobility with single vehicle based on the driving data from a taxi company in South China. Different from conventional exponential distribution, we discover the mobility distance with taxi follows power-law distribution. Further, we proposed a model which may explain the mechanism for the power-law distribution: mobility distance is constrained by time and fare. Specifically, the relationship between fare and mobility distance follows piecewise function, and responds to individual sensitivity; the relationship between time and mobility distance follows significant logarithmic relationship. These two factors, especially the logarithmic relationship between time and mobility distance, may contribute to a power-law distribution instead of an exponential one. Finally, with a simulation model, we verify the significant power-law distribution of human mobility behavioral distance with a single vehicle, by supplementing factors of waiting time and fare. |
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| Keywords: | Single vehicle Mobility distance Power-law distribution Exponential distribution |
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