Crowdsourcing Urban Sensing: Mobile phone for urban data collection

Dongyoun Shin

This crowdsoursing urban simulation platform proposed a framework that employs widespread smart phones to compute urban sustainability values. The phone’s acceleration and location data was used to deduce the modes of transportation. Further, combined location and time stamp data attempted to recognize the current activity (e.g., work, home, etc.). Using the vehicle type and location activity, the framework can compute urban sustainability values, such as what amounts of CO2 emission are generated or a measure of how well is the city designed for its inhabitants’ commuting requirements

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