Chapter One - An overview of urban data variety and respective value to urban computing

Abstract

Urban data provide sufficient information for urban planning, transportation management, urban anomaly analysis, etc., which can help benefit the lives of residents. Recently, various urban data have been widely collected and analyzed by machine learning algorithms, through which further information and conclusions are generated for guiding urban management. This process is called urban computing. In this survey, we make a summary of various types of urban datasets obtained from diverse devices, that is, trajectory, trip records, call detail record, urban sensor record, event record, environment data, social media, and surveillance camera data, which are also followed by value analysis in the field of urban computing.