Using a consistent structure throughout, the book examines smart cities in a broad sense, looking at people, governance, economic, mobility, environment, and infrastructure dimensions. It identifies the likely weaknesses of those cities and threats faced, proposing a modeling platform to help enhance resilience of smart cities, offering state-of-the-research and deep literature review. Resilient Smart Cities shows the role smart cities play in achieving sustainability goals through the lens of urban resilience and concludes that smart cities are required to be cities of hope where well-being of the humankind is the center.
Urban Computing and Artificial Intelligence: A Data-Driven Tool for Urban Heat Mitigation is the first full synthesis of modern scientific and applied research on climate change, urban warming, and the future of resilient cities. The book helps city governments better understand how to plan for the effects of climate change and impending natural disasters. It compiles the concepts, strategies, and technologies associated with resilient cities, and provides an outline of what constitutes climate change and its behavior relating to urban systems. Finally, the book develops a comprehensive concept for the future resiliency of cities related to hydro-climatology and extreme events.Next, it explains the physical principles governing the formation of distinct hydro-climatology and resilient cities, and then illustrates how this knowledge can be applied to moderate the undesirable consequences of swift and haphazard urban development (energy, peak electricity demand, health, comfort, economy, and environment) and help to create more sustainable and resilient cities for the future. With urban climate science now a fully-fledged growing field, this timely book fulfils the need to bring together the disparate parts of urban climate research in global cities into a coherent framework. It is an ideal resource for students, researchers, and policymakers in the fields of urban climate, urban architecture and planning, environmental engineering, urban design, and redevelopment.
Integrated Planning for Sustainable Resilient Regions explores the dynamic relationship between sustainable development and effective regional planning strategies. With a focus on harmonizing the diverse elements of social equity, economic prosperity, and environmental conservation, this book offers a deep dive into the interplay between human activities, natural systems, and the landscapes they inhabit. Considering both theoretical foundations and real-world case studies, it equips readers with the tools to navigate the complex challenges of our rapidly changing world. Researchers, professionals, and students alike will find this a valuable source of information and practical tools surrounding the complex interactions between human and natural systems.Users will find sections that examine how sustainable development goals can seamlessly integrate into regional planning initiatives and on sustainability transitions, territorial dynamics, and community engagement techniques. This book offers fresh perspectives for advancing knowledge and practice in urban planning, environmental science, and regional studies. From governments crafting policies that balance progress and environmental stewardship to architects and developers designing eco-conscious spaces, it will resonate with a diverse audience seeking to drive positive change through strategic and sustainable regional planning.
Smart Nation: Redefining Nations for Global Sustainability demonstrates how embracing full-scale adoption and purposeful application of digital, interoperable instruments, and ecosystems can help shape integrated and streamlined governance, leading to more efficient and equitable administrative efforts while fostering collaborative strategies to achieve sustainable outcomes that transcend national boundaries. This comprehensive reference resource not only offers the latest research in this innovative context but also reviews successful international cases, with very practical insights into these countries’ revolutionary, future-forward trajectories that are making pivotal waves in addressing multi-layer challenges across social, economic, and environmental spheres and enhancing living standards.The volume, written by an expert with decades of experience in both the education sector and in professional practice, aims to cater to a variety of audiences across disciplines who seek an invaluably detailed development blueprint bolstered by continued innovation benefitting the collective and our planet.
Assembling Smart Cyber-Physical Systems: Heterogeneous, Diffuse and Green Technological Infrastructures for Cities and Industries offers a comprehensive approach on how to design, implement, and use Cyber Physical Systems (CPSs)-computing systems with a strong interaction between the physical environment (equipped with sensors and actuators) and the cyber realm (the Cloud). Through a carefully structured methodological approach to systems design, readers will learn how the infrastructure continuum represents our environment, where we can move from edge computing to the Cloud, going through fog resources to set up an entire framework for services deployment and application in smart cities and industries.As dealing with complex systems has become increasingly difficult, CPSs are increasingly critical to cope with integrating software, which people are used to, with hardware, which is distributed among different domains. This book shows how to deal with such systems where there is no distinction among the different parts: computing, storage, networking, and IoT all contribute to setting up the modern processing environments, thus it is mandatory to keep them simultaneously under control.
Digital Twins for Smart Cities and Villages provides a holistic view of digital twin technology and how it can be deployed to develop smart cities and smart villages. Smart manufacturing, smart healthcare, smart education, smart agriculture, smart rural solutions, and related methodologies using digital twins are discussed, including challenges in deployment, their solutions and future roadmaps. This knowledge, enriched by a variety of case studies presented in the book, may empower readers with new capabilities for new research as well as new tasks and strategies for practical implementation and real-world problem solving.The book is thoughtfully structured, starting from the background of digital twin concepts and basic know-how to serve the needs of those new to the subject. It continues with implementation to facilitate and improve management in several urban contexts, infrastructures, and more. Global case study assessments further provide a deep characterization of the state-of-the-art in digital twin in urban and rural contexts.
XAI Based Intelligent Systems for Society 5.0 focuses on the development and analysis of Explainable Artificial Intelligence (XAI)-based models and intelligent systems that can be utilized for Society 5.0—characterized by a knowledge intensive, data driven, and non-monetary society. The book delves into the issues of transparency, explainability, data fusion, and interpretability, which are significant for the development of a super smart society and are addressed through XAI-based models and techniques. XAI-based deep learning models, fuzzy and hybrid intelligent systems, expert systems, and intrinsic explainable models in the context of Society 5.0 are presented in detail.The book also addresses—using XAI-based intelligent techniques—the privacy issues intrinsic in storing huge amounts of data or information in virtual space. The concept of Responsible AI, which is at the core of the future direction of XAI for Society 5.0, is also explored in this book. Finally, the application areas of XAI, including relevant case studies, are presented in the concluding chapter. This book serves as a valuable resource for graduate/post graduate students, academicians, analysts, computer scientists, engineers, researchers, professionals, and other personnel working in the area of artificial intelligence, machine learning, and intelligent systems, who are interested in creating a people-centric smart society.
Smart Urban Mobility: Transport Planning in the Age of Big Data and Digital Twins explores the data-driven paradigm shift in urban mobility planning and examines how well-established practices and strong data analytics efforts can be better aligned to fit transport planning practices and "smart" mobility management needs. The book provides a comprehensive survey of the major big data and technology resources derived from smart cities research which are collectively poised to transform urban mobility. Chapters highlight the important aspects of each data source affecting applicability, along with the outcomes of smart mobility measures and campaigns.Transport planners, urban policymakers, public administrators, city managers, data scientists, and consulting companies managing smart city interventions and data-driven urban transformation projects will gain a better understanding of this up-and-coming research from this book’s detailed overview and numerous practical examples and best practices for operational deployment.
Uniquely focused on the contributions smart cities can make to climate change resilience, Urban Climate Adaptation and Mitigation offers evidence-based scientific solutions for improving cities’ abilities to prepare for, recover from, and adapt to global climate-related events. Beginning with the observation of global environmental change, this book explores what sustainable smart projects are, how they are adopted and evaluated, and how they can address climate change challenges. It brings together a wide variety of disciplines such as planning, transportation, and waste management to address issues related to climate change adaptation and mitigation in cities.In general, many social science researchers lack cohesive, broad-based literature knowledge; Urban Climate Adaptation and Mitigation bridges this gap and informs different types of stakeholders on how they can enhance their preparation abilities to enable real-time responses and actions. Therefore, it is a valuable reference for researchers, professors, graduate students, city planners, and policy makers. Application-focused throughout, this book explores the complexities of urban systems and subsystems to support researchers, planners, and decision makers in their efforts toward developing more climate-resilient smart cities.
Collective Intelligence for Smart Cities begins with an overview of the fundamental issues and concepts of smart cities. Surveying the current state-of-the-art research in the field, the book delves deeply into key smart city developments such as health and well-being, transportation, safety, energy, environment and sustainability. In addition, the book focuses on the role of IoT cloud computing and big data, specifically in smart city development. Users will find a unique, overarching perspective that ties together these concepts based on collective intelligence, a concept for quantifying mass activity familiar to many social science and life science researchers.Sections explore how group decision-making emerges from the consensus of the collective, collaborative and competitive activities of many individuals, along with future perspectives.