Hardback
Handbook on Big Data, Artificial Intelligence and Cities
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.
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Critical Acclaim
More Information
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.
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.
Critical Acclaim
‘Technology is developing increasingly faster and its impact on the world’s nature and culture seems to grow at an exponential pace. This Handbook collects brand new research on two of the most dynamic fields, big data and artificial intelligence and their role in cities transformation. It’s indeed worth reading!’
– Hans Westlund, KTH Royal Institute of Technology, Sweden
''This book comes at a critical time, when big data and artificial intelligence are changing the nature of our cities, and the way they are managed. It comprises some of the best thinkers on urban science, and provides great food for thought on the future of urban areas.''
– Andrea Caragliu, Polytechnic University of Milan, Italy
‘By presenting new methodological and empirical insights into big data, artificial intelligence and cities, the book provides a fascinating insight about the relevant state of knowledge and the challenges that scholars face and attempt to solve using big data in the urban context.’
– Roberta Capello, Politecnico di Milano and ERSA President, Italy
– Hans Westlund, KTH Royal Institute of Technology, Sweden
''This book comes at a critical time, when big data and artificial intelligence are changing the nature of our cities, and the way they are managed. It comprises some of the best thinkers on urban science, and provides great food for thought on the future of urban areas.''
– Andrea Caragliu, Polytechnic University of Milan, Italy
‘By presenting new methodological and empirical insights into big data, artificial intelligence and cities, the book provides a fascinating insight about the relevant state of knowledge and the challenges that scholars face and attempt to solve using big data in the urban context.’
– Roberta Capello, Politecnico di Milano and ERSA President, Italy
