- Titulinis
- Dalykinė ir mokslinė literatūra
- Socialinių mokslų knygos
- Sociologija
- Implementing Data-Driven Strategies in Smart Cities
Implementing Data-Driven Strategies in Smart Cities
ISBN: 9780128211229
Autorius : Carlos Carrasco-Farré
Leidimo metai: 2021
Leidėjas: Elsevier Science
Leidinio kalba: Anglų
Formatas: Minkšti viršeliai
Formatas: 9.25×7.5
Autorius : Carlos Carrasco-Farré
Leidimo metai: 2021
Leidėjas: Elsevier Science
Leidinio kalba: Anglų
Formatas: Minkšti viršeliai
Formatas: 9.25×7.5
Aprašymas
<i>Implementing Data-Driven Strategies in Smart Cities</i> 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 urban interventions – 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 Barcelona, Cologne, Manila, Miami, New York, Nancy, Nice, São Paulo, Seoul, Singapore, Stockholm, and Zurich. 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, transportation, pollution, and waste management.
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