This edited volume examines strategies to make future cities more sustainable. The aim of these and other initiatives of the recent past, is to transform our cities into smarter cities. Thereby, these solutions are determined to boost clean electricity and pollution reduction, improve the life of citizens and transform city environment and regulatory structures. As the EUs ambition is to become carbon-neutral until 2050, the outlined projects also consider fostering economy prosperity and social wellness and environmental sustainability. The greatest challenge being already built urban spaces that need to be transformed quickly and at low costs. The book will analyze future smart cities in three centric dimensions: energy and sustainable development, smart infrastructures for smart cities, social involvement and economic prosperity. With its global approach, the volume is highly useful for professionals involved in city planning and urban ecology.

This book contains the proceedings of 5th International Conference on Advances in AI for Biomedical Instrumentation, Electronics and Computing (ICABEC - 2023), which provided an international forum for the exchange of ideas among researchers, students, academicians, and practitioners. It presents original research papers on subjects of AI, Biomedical, Communications & Computing Systems. Some interesting topics it covers are enhancing air quality prediction using machine learning, optimization of leakage power consumption using hybrid techniques, multi-robot path planning in complex industrial dynamic environment, enhancing prediction accuracy of earthquake using machine learning algorithms and advanced machine learning models for accurate cancer diagnostics. Containing work presented by a diverse range of researchers, this book will be of interest to students and researchers in the fields of Electronics and Communication Engineering, Computer Science Engineering, Information Technology, Electrical Engineering, Electronics and Instrumentation Engineering, Computer applications and all interdisciplinary streams of Engineering Sciences.

We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.

Light is essential for living organisms; however, excessive light causes adverse health conditions. This book covers the most recent progress on nanotechnology for reducing light pollution, discussing many approaches and technologies for controlling light pollution. The book explores the fundamentals of light and the causes of light pollution, delving into light pollution’s social, economic, and ecological impacts, its effects on living beings and the environment, as well as possible solutions and methods of control. The text discusses smart lighting technology, covering the various smart nanomaterials, nanosensors, and nanodevices involved. It also explores smart lighting involving natural light from the sun, artificial skydomes, shadow-free/secondary light sources, and the basics of many emerging devices such as light-emitting diodes and photosensors. Nanotechnology is key to providing a new route for the next generation of lighting devices and systems with reduced light pollution. This essential reference illuminates emerging technologies and their applications, providing new directions to scientists, researchers, and students to better understand the principles, technologies, and applications of nanotechnology in light pollution.

This edited volume discusses the socioeconomic, environmental, and policy implications of smart cities. Written by international experts in energy economics and policy, the chapters present wide range of high quality theoretical and empirical studies at the nexus of social, entrepreneurial, governmental and ecological transformation. The book covers a wide range of topics, with a view towards providing empirical evidence of the benefits of smart cities as well as practical frameworks for smart city initiatives. Topics discussed include: smart city transition pillars, innovation for smart and sustainable cities design and implementation, smart city governance, smart mobility within cities, and smart cities in emerging economies. This volume will be of use to students and researchers interested in resource economics, energy economics, sustainability, ICT, and governance, as well as policymakers working on smart city initiatives. This is an open access book.

While urban settlements are the drivers of the global economy and centres of learning, culture, and innovation and nations rely on competitive dynamic regions for their economic, social, and environmental objectives, urban centres and regions face a myriad of challenges that impact the ways in which people live and work, create wealth, and interact and connect with places. Rapid urbanisation is resulting in urban sprawl, rising emissions, urban poverty and high unemployment rates, housing affordability issues, lack of urban investment, low urban financial and governance capacities, rising inequality and urban crimes, environmental degradation, increasing vulnerability to natural disasters and so forth. At the regional level, low employment, low wage growth, scarce financial resources, climate change, waste and pollution, and rising urban peri-urban competition etc. are impacting the ability of regions to meet socio-economic development goals while protecting biodiversity. The response to these challenges has typically been the application of inadequate or piecemeal solutions, often as a result of fragmented decision-making and competing priorities, with numerous economic, environmental, and social consequences. In response, there is a growing movement towards viewing cities and regions as complex and sociotechnical in nature with people and communities interacting with one another and with objects, such as roads, buildings, transport links etc., within a range of urban and regional settings or contexts. This comprehensive MRW will provide readers with expert interdisciplinary knowledge on how urban centres and regions in locations of varying climates, lifestyles, income levels, and stages development are creating synergies and reducing trade-offs in the development of resilient, resource-efficient, environmentally friendly, liveable, socially equitable, integrated, and technology-enabled centres and regions.

The perception of smart cities encompasses a strategy that uses different types of technologies, artificial intelligence (AI), and machine learning and in which, through the internet of things (IoT) and sensor-based data collection, the strategy extrapolates information using insights gained from that data to manage or monitor or track assets, resources, and services efficiently in an urban area. Both these models deeply affect the localities where they are applied and can create together immense possibilities for urban recovery, better quality of life, physical and mental health protection, and economic and social redevelopment. Smart Cities and Machine Learning in Urban Health promotes interdisciplinary work that develops and illustrates the concept of resilience in relation to smart city and machine learning. The book examines the ability of an area and its communities to recover quickly from difficulties; the rigidness and resistance of an area and its communities to possible crisis; the ability of an area, its communities, infrastructure, and business to spring back into shape; and the responsiveness and mitigation towards the crisis with a special look at the impact of the COVID-19 pandemic. The research’s theoretical foundation rests on a wide range of non-architectural sources, primarily AI, sociology, urban studies, and technological development, but it explores everything on cases taken from real cities, thus transforming them into pieces of architectural interest. Covering topics such as carbon emissions, digital healthcare systems, and urban transformation, this book is an essential resource for graduate and post-graduate students, policymakers, researchers, university faculty, engineers, public management, hospital administration, professors, and academicians.