The increased penetration of information and communication networks in the fields of urban planning and policies, namely the smart cities’ research, is transforming cities and physical living environments where human collective activities take place. Among these endeavors to employ technology to serve urban planning, a collective urban planning theory was proposed by researcher Yasushi Sakai of the MIT Media Lab City Science Group, and is a theory that pursues social fairness in the integration and analysis of urban activity data collected from time to time in smart cities. This is an important element that will be essential over a wide range of areas for the realization of future smart cities.
In order to test this collective urban planning theory, we conducted a proof of concept (POC) using GPS location information obtained from electric bicycles as a specific technology application example. The basic purpose of this research is to verify the feasibility of the basic system and to obtain knowledge about more specific issues.