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Implementing Data-Driven Strategies in Smart Cities - 1st Edition - ISBN: 9780128211229

Implementing Data-Driven Strategies in Smart Cities

1st Edition

A Roadmap for Urban Transformation

Authors: Didier Grimaldi Carlos Carrasco-Farré
Paperback ISBN: 9780128211229
Imprint: Elsevier Science
Published Date: 1st September 2021
Page Count: 216
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Description

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 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.

Key Features

  • 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 in the reader’s own business agenda
  • Presents cutting edge technology presentation with coverage of innovations such as the Internet of Things, robotics, 5G, edge/fog computing, blockchain, intelligent transport systems, and connected-automated mobility

Readership

Urban policymakers, public administrators, city managers, data scientists or consulting companies managing smart city interventions and data-driven urban transformation projects. Early career researchers and graduate students from smart cities, urban research, urban planning, geography, transport, and economics interested in smart city design

Table of Contents

  1. Introduction
    2. Governance, Decision Making and Strategy for Smart Cities
    3. Data Science for Smart Cities
    4. Roadmap to Develop a Data-Driven City
    5. Data Capturing, Cleaning and Curation in Smart Cities
    6. Data Analysis, Modelling and Visualization in Smart Cities
    7. Data Governance, Privacy and Confidentiality in Smart Cities

Details

No. of pages:
216
Language:
English
Copyright:
© Elsevier Science 2021
Published:
1st September 2021
Imprint:
Elsevier Science
Paperback ISBN:
9780128211229

About the Authors

Didier Grimaldi

Didier Grimaldi, PhD is Associate Professor at the La Salle–Ramon Llull University, Barcelona, Spain. His scholarly interests span novel forms of innovation to develop new or existing businesses by analyzing different models of public-private governance, which offer a more active role to the citizens. Dr. Grimaldi’s research focuses on evaluating the real effect of emerging technologies (big data, Internet of Things, drones, social media, etc.) to promote new services for citizens that improve their quality of life.

Affiliations and Expertise

Associate Professor, La Salle-Ramon Llull University, Barcelona, Spain

Carlos Carrasco-Farré

Carlos Carrasco-Farré in the Department of Operations, Innovation and Data Science at ESADE Business School, Barcelona, Spain. His research interest is in human-machine interactions and decision-making. More specifically, his research focuses in computational social science, the intersection of technology (artificial intelligence, machine learning, data science) and society (management, decision-making and strategy). He has contributed to various academic and nonacademic publications and books on economics, management, and urban strategy.

Affiliations and Expertise

Researcher, ESADE Business School, Ramon Llull University, Barcelona, Spain

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