Handbook on Big Data, Artificial Intelligence and Cities (Hardcover)

Descripción:

Hardcover. This pioneering Handbook outlines the ways in which big data and artificial intelligence (AI) are reshaping cities. Leading scholars analyze how innovative computational methods can make use of the vast amounts of data available to gain new insights into urban life, inform policy, and drive innovation.Chapters delve into specific applications of big data and AI including mobility, tourism, and land use, drawing on case studies from diverse urban environments across Europe and North America. Expert authors evaluate future opportunities for leveraging these technologies, addressing the integration of machine learning into spatial econometric models, the use of self-organizing maps to study demographic shifts, and novel approaches to simulating contagion patterns during pandemics. Ultimately, the Handbook emphasizes the potential of AI to contribute to social good.Academics and students in human geography, regional and urban studies, economics, sociology, and management will benefit from this multidisciplinary and comprehensive Handbook. Combining theoretical insights with practical applications, it is also a valuable resource for policymakers and practitioners interested in the ongoing digital transformation of urban spaces. This pioneering Handbook outlines the ways in which big data and artificial intelligence (AI) are reshaping cities. Leading scholars analyze how innovative computational methods can make use of the vast amounts of data available to gain new insights into urban life, inform policy, and drive innovation. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de ref. del artículo 9781803928043

Denunciar este artículo

Sinopsis:

Acerca del autor: Edited by Dani Broitman, Faculty of Architecture and Town Planning, Technion – Israel Institute of Technology, Israel, Katarzyna Kopczewska, Faculty of Economic Sciences, University of Warsaw, Poland and Daniel Czamanski, The Philip & Ethel Klutznick Center for Urban and Regional Studies, Technion, Israel Institute of Technology, Israel