A Crowdsourcing Urban Simulation Platform Using Mobile Devices and Social Sensing

摘要

Cities are among the most complex entities created by humans. Even though humans are the designers and main users of these entities, we are still trying to understand and transform the urban environment in order to improve our well-being and enjoy a better life. In this context, we suggest the novel idea of simulating this complex world by adopting "social sensing" and "crowdsourcing" concepts which have the potential to initiate a paradigm shift in urban simulation design. Based on the concept of crowdsourcing, we present a human-agent based urban simulation, which directly feeds citizens' intentions and activities into the simulation in real-time. This work is based on previous research dealing with urban sensing. We integrate previous ideas to our platform that simulates urban sustainability by sensing user activities. The specific research tasks of our simulation environment are : 1) sensing inhabitant's acceleration and location data, 2) transforming the raw data into CO2 emission information, and 3) designing user interaction in order to induce mass participation. To secure the mass participation, we envision the user interaction using diverse social network services and enhancing a user-friendly interface, and adopting a gamification idea implementing entertaining elements.