Assessing Urban Transportation with Big Data Analysis (eBook)

This book chiefly focuses on urban traffic, an area supported by massive amounts of data. The application of big data to urban traffic provides strategic and technical methods for the multi-directional and in-depth observation of complex adaptive systems, thus transforming conventional urban traffic planning and management methods. Sharing valuable insights into how big data can be applied to urban traffic, it offers a valuable asset for information technicians, traffic engineers and traffic data analysts alike.

YANG Dongyuan is a professor and doctoral supervisor at College of Transportation Engineering, Tongji University. He enjoys special government allowance from the State Council. He ever won such honors as 'Program of Shanghai Subject Chief Scientist'. At present, he is Vice Chairman of Urban Transportation Planning Society of China and Member of Expert Committee of Ministry of Transport of the People's Republic of China. He served as Deputy Secretary of the Communist Party of China (CPC) Tongji University Committee and Vice President of Tongji University. For a long time, he devotes to the research on urban transportation planning, logistics system planning, transportation information engineering, etc. He undertook such projects as 'Research on Transportation Planning for Shanghai World Expo' and 'Urban Road Traffic Planning Theory and Methodology under Information Environment' (a key project funded by National Natural Science Foundation of China). The research achievements have won the First Prize of Huaxia Construction Science and Technology Award (the first place), the Third Prize of China Highway and Transportation Society and Tsien Hsue-shen Urbanology Gold Award. He authors Transportation Planning Decision-making Support System, Transportation Planning and Management under Continuous Data Environment, Urban Transportation Analysis Technology under Big Data Environment (the first author) and other academic monographs.

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This book chiefly focuses on urban traffic, an area supported by massive amounts of data. The application of big data to urban traffic provides strategic and technical methods for the multi-directional and in-depth observation of complex adaptive systems, thus transforming conventional urban traffic planning and management methods. Sharing valuable insights into how big data can be applied to urban traffic, it offers a valuable asset for information technicians, traffic engineers and traffic data analysts alike.