Acknowledging the smart cities phenomenon not as a future goal but as an active part of our present, this book critically examines the strategies, business models, practices, tools, and actions needed to ensure that smart cities deliver the solutions they promise.

Smart cities are a fast-growing species, and a fascinating field for new experiments in a number of critical areas, ranging from urban planning, sustainable energy, and transport strategies to social integration and talent attraction, to name a few. As leaders and citizens around the world continue to assess, design, implement and improve on ways to create better cities, they often find themselves confronted with a multitude of decisions and a wide range of partial solutions to specific problems such as traffic congestion, waste management and crime. Unfortunately, they have precious few tools to enable them to define the strategies required and take advantage of the experience of other smart cities around the world. In such a context, metrics can play a significant and constructive role: by quantifying efforts and results, they increase the ability of decision-makers to identify where their priorities should lie as well as the relative merits of various approaches.

Acknowledging the smart cities phenomenon not as a future goal but as an active part of our present, this book critically examines the strategies, business models, practices, tools, and actions needed to ensure that smart cities deliver the solutions they promise.

In the ever-evolving landscape of the modern business world, a critical challenge has emerged at the crossroads of digital transformation and sustainable development. Businesses grapple with the need to adapt to digitalization while ensuring their practices align with the imperatives of sustainability. The complexities of this intersection demand innovative solutions and profound insights. Enter Digital Transformation and Sustainable Development in Cities and Organizations – a groundbreaking book that unravels the intricacies of this challenge and provides a comprehensive roadmap for organizations navigating the digital age with a commitment to sustainability. Traditional business models are rendered obsolete as the relentless march of digitalization transforms industries. Amidst this upheaval, the imperative to embrace sustainable practices often takes a backseat. Businesses face the daunting task of navigating this dual challenge – staying technologically relevant while safeguarding the environment and societal well-being. The consequences of overlooking this intersection are profound, leading to missed opportunities for growth and contributing to the escalating threats posed by climate change. The need for a cohesive guide that addresses these intertwined challenges has never been more urgent.

Untangling Smart Cities: From Utopian Dreams to Innovation Systems for a Technology-Enabled Urban Sustainability helps all key stakeholders understand the complex and often conflicting nature of smart city research, offering valuable insights for designing and implementing strategies to improve the smart city decision-making processes. The book drives the reader to a better theoretical and practical comprehension of smart city development, beginning with a thorough and systematic analysis of the research literature published to date. It addition, it provides an in-depth understanding of the entire smart city knowledge domain, revealing a deeply rooted division in its cognitive-epistemological structure as identified by bibliometric insights. Users will find a book that fills the knowledge gap between theory and practice using case study research and empirical evidence drawn from cities considered leaders in innovative smart city practices.

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. - 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