Implementing Data-Driven Strategies in Smart Cities

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. Explores numerous specific urban interventions drawn from global case studies, helping readers understand real urban challenges and create data-driven solutionsProvides a step-by-step and applied holistic guide and methodology for immediate application of their own business agendaPresents cutting edge technology presentation with coverage of innovations such as blockchain, artificial intelligence, and digital twins