  Understanding how people move in the urban area is important for solving
urbanization issues, such as traffic management, urban planning, epidemic
control, and communication network improvement. Leveraging recent availability
of large amounts of diverse crowdsensed data, many studies have made
contributions to this field in various aspects. They need proper review and
summary. In this paper, therefore, we first review these recent studies with a
proper taxonomy with corresponding examples. Then, based on the experience
learnt from the studies, we provide a comprehensive tutorial for future
research, which introduces and discusses popular crowdsensed data types,
different human mobility subjects, and common data preprocessing and analysis
methods. Special emphasis is made on the matching between data types and
mobility subjects. Finally, we present two research projects as case studies to
demonstrate the entire process of understanding urban human mobility through
crowdsensed data in city-wide scale and building-wide scale respectively.
Beyond demonstration purpose, the two case studies also make contributions to
their category of certain crowdsensed data type and mobility subject.
