Urban mobility model generation with public taxi transportation data

Abstract

Thanks to the recent innovation of IoT technology, mobility data and related data can be acquired with various devices under various environments. As a consequence, there arise many research regarding individual or group mobility trends. However, due to the nature of privacy latent in mobility data, it is somewhat difficult to collect or use mobility data for research purpose. Taxi transportation data provided by Cities can be one of the solutions to cope with mobility raw data problem. In this paper, we propose a method to establish urban mobility model based on taxi transportation data with clustering technology. The result of urban mobility model can show the trend of urban mobility quantitatively and visually in spatio-temporal domain.