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 examines the revolution that big data, data science, and the Internet of Things are making feasible for cities, then explores alternate topologies, typologies, and approaches to operationalize data science in cities-all drawn from global examples, including top-down, bottom-up, greenfield, brownfield, issue-based, and data-driven. The guide channels and expands on the classic data science model for data-driven interventions in cities-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 solutions Provides a step-by-step and applied holistic guide and methodology for immediate application of your own business agenda Presents cutting edge technology including innovations such as blockchain, artificial intelligence, and digital twins INDICE: 1. Introduction2. Governance, Decision Making and Strategy for Smart Cities3. Data Science for Smart Cities4. Roadmap to Develop a Data-Driven City5. Data Capturing, Cleaning and Curation in Smart Cities6. Data Analysis, Modelling and Visualization in Smart Cities7. Data Governance, Privacy and Confidentiality in Smart Cities

• ISBN: 978-0-12-821122-9
• Editorial: Elsevier Science
• Encuadernacion: Rústica
• Páginas: 216
• Fecha Publicación: 01/06/2021
• Nº Volúmenes: 1
• Idioma: Inglés