632 pp., 7 x 9 in,
- Published: February 5, 2019
- Published: January 18, 2019
An authoritative treatment of urban computing, offering an overview of the field, fundamental techniques, advanced models, and novel applications.
Urban computing brings powerful computational techniques to bear on such urban challenges as pollution, energy consumption, and traffic congestion. Using today's large-scale computing infrastructure and data gathered from sensing technologies, urban computing combines computer science with urban planning, transportation, environmental science, sociology, and other areas of urban studies, tackling specific problems with concrete methodologies in a data-centric computing framework. This authoritative treatment of urban computing offers an overview of the field, fundamental techniques, advanced models, and novel applications.
Each chapter acts as a tutorial that introduces readers to an important aspect of urban computing, with references to relevant research. The book outlines key concepts, sources of data, and typical applications; describes four paradigms of urban sensing in sensor-centric and human-centric categories; introduces data management for spatial and spatio-temporal data, from basic indexing and retrieval algorithms to cloud computing platforms; and covers beginning and advanced topics in mining knowledge from urban big data, beginning with fundamental data mining algorithms and progressing to advanced machine learning techniques. Urban Computing provides students, researchers, and application developers with an essential handbook to an evolving interdisciplinary field.
"This is a wonderful book -- comprehensive, timely, deep, and well thought out."
Ouri Wolfson, Richard and Loan Hill Professor of Computer Science, University of Illinois at Chicago
“As urbanization unfolds across the globe, more and more and more people live in cities, mega-cities, and urban agglomerations, and cities are becoming increasingly active in setting the global agenda. Orthogonal to this development, advances in information technology enable the sweeping digitalization of societal processes. With this as its backdrop, Zheng's timely book covers key aspects of urban computing that play an important role in addressing the many environmental, mobility, and infrastructural challenges facing urban populations.”
Christian S. Jensen, Obel Professor of Computer Science, Aalborg University
"The first comprehensive textbook on urban computing, with great coverage on urban data science: urban sensing, data acquisition, data management, data analytics, machine learning, and knowledge fusion. I would highly recommend this material and look forward to sharing it with my students.”
Jiawei Han, Abel Bliss Professor, Computer Science, University of Illinois at Urbana-Champaign