Implementing Data-Driven Strategies in Smart Cities is a guidebook and roadmap for practitioners seeking to operationalize data-driven urban interventions. The book opens by exploring the revolution that big data, data science and the Internet of Things are making feasible for the city. It explores alternate topologies, typologies and approaches to operationalize data science in cities, drawn from global examples, including top-down, bottom-up, greenfield, brownfield, issue-based, and data-driven. It channels and expands on the classic data science model for data-driven interventions in a city - data capture, data quality, cleansing and curation, data analysis, visualization and modeling, and data governance, privacy and confidentiality. Throughout, illustrative case studies demonstrate successes realized in such diverse cities as Helsinki, Nice, Tartu, San Cugat, Singapore, Sao Paolo, Bilbao, and Goyang City. Given the heavy emphasis on global case studies, this work is particularly suitable for any urban manager, policymaker, or practitioner responsible for delivering technological services for the public sector from sectors as diverse as energy, transport, pollution, and waste management.

Book Information
ISBN 9780128211229
Author Didier Grimaldi
Format Paperback
Page Count 216
Imprint Elsevier Science Publishing Co Inc
Publisher Elsevier Science Publishing Co Inc
Weight(grams) 191g