Tan Yigitcanlar

This book offers a comprehensive exploration of how artificial intelligence, ecological design, and governance reforms can be leveraged to tackle climate-induced urban heat. The book is structured around three key themes: AI for climate adaptation, green infrastructure and design innovation, and policy and planning perspectives. It delves into how intelligent technologies like remote sensing, real-time monitoring, and machine learning are revolutionizing the assessment and management of urban microclimate risks. Specific applications include enhancing urban resilience through hyperlocal weather alert systems and analysing the influence of vegetation and building distribution on urban heat for better mitigation. The book further examines how nature-based interventions, such as AI-optimized vegetation strategies and cooling infrastructure, can create thermally comfortable and ecologically robust urban environments. It highlights the growing intersection of AI and green infrastructure in climate adaptation and urban sustainability. Beyond technology and design, the author focuses on governance and policy frameworks, exploring how institutional arrangements and planning paradigms can translate digital and design solutions into equitable and effective climate action. It investigates how climate action is reflected in local urban planning, drawing insights from cities committed to global climate agreements. By integrating computational tools, bioclimatic design, and multi-level governance, the book provides a holistic framework for addressing urban heat challenges. It is an essential resource for urban planners, climate researchers, and policymakers seeking forward-looking, inclusive, and technologically informed strategies for building heat-ready cities in a warming world.

This book delves into the intricate relationship between climate change, urbanization, political attitudes, and spatial inequities, examining how these elements collectively shape vulnerability in cities. This comprehensive book, structured across ten chapters and three core themes—public perception, urban exposure, and methodological innovation—presents an integrated framework that unifies social science, spatial analysis, and data science. Unlike narrower approaches, it bridges the gap between technical metrics and social responses to urban climate challenges. The book explores how political worldviews influence climate risk perception and how peri-urbanization intensifies vulnerability, particularly focusing on the disproportionate impact of heat in rapidly expanding cities. It reveals that while public awareness of climate change is present, a significant gap exists between awareness and individual action, with calls for more effective government responses and integrated climate strategies. It also highlights how advanced technologies like AI, machine learning, and remote sensing are transforming the assessment and visualization of urban climate risks. Specifically, it demonstrates how remote sensing quantifies the intensification of climate change due to urban greenfield expansion, revealing ecosystem loss and increased emissions, especially in peri-urban areas. This underscores the need for policies prioritizing ecosystem protection for climate mitigation. Furthermore, the book provides a bibliometric review of urban heat vulnerability research, showcasing its rapid growth and evolution across diverse fields such as urban planning, environmental dynamics, public health, climatology, and remote sensing. It notes a crucial shift towards human-centred approaches and advocates for integrated policies to effectively manage escalating urban heat risks. This book is an indispensable resource for practitioners in the field, including city government officials, policymakers, urban planners, and consultants. It can also be used as a reference for researchers and university students in urban studies.

This book delves into the intricate relationship between climate change, urbanization, political attitudes, and spatial inequities, examining how these elements collectively shape vulnerability in cities. This comprehensive book, structured across ten chapters and three core themes—public perception, urban exposure, and methodological innovation—presents an integrated framework that unifies social science, spatial analysis, and data science. Unlike narrower approaches, it bridges the gap between technical metrics and social responses to urban climate challenges. The book explores how political worldviews influence climate risk perception and how peri-urbanization intensifies vulnerability, particularly focusing on the disproportionate impact of heat in rapidly expanding cities. It reveals that while public awareness of climate change is present, a significant gap exists between awareness and individual action, with calls for more effective government responses and integrated climate strategies. It also highlights how advanced technologies like AI, machine learning, and remote sensing are transforming the assessment and visualization of urban climate risks. Specifically, it demonstrates how remote sensing quantifies the intensification of climate change due to urban greenfield expansion, revealing ecosystem loss and increased emissions, especially in peri-urban areas. This underscores the need for policies prioritizing ecosystem protection for climate mitigation. Furthermore, the book provides a bibliometric review of urban heat vulnerability research, showcasing its rapid growth and evolution across diverse fields such as urban planning, environmental dynamics, public health, climatology, and remote sensing. It notes a crucial shift towards human-centred approaches and advocates for integrated policies to effectively manage escalating urban heat risks. This book is an indispensable resource for practitioners in the field, including city government officials, policymakers, urban planners, and consultants. It can also be used as a reference for researchers and university students in urban studies.

This book provides a comprehensive exploration of the rapidly evolving field of autonomous urban mobility, examining its transformative potential and the principles guiding its innovation. This essential resource offers deep insights into the societal, policy, and urban impacts of autonomous vehicles, drawing on an extensive body of research. Beginning with a review of smart urban mobility innovations, the book explores technological advancements such as connected vehicles, mobility-as-a-service platforms, and shared autonomous systems, evaluating their successes and challenges. This book traces the evolution of autonomous vehicle research over the past two decades, identifying key trends, methodologies, and future research directions, underscoring the importance of interdisciplinary approaches to address complex challenges. Subsequent chapters critically assess the technical capabilities, societal impacts, and policy frameworks necessary for the widespread adoption of autonomous vehicles, with a focus on implications for land use, infrastructure, and environmental planning. Public acceptance is a recurring theme, with an in-depth analysis of socio-demographic, psychological, and contextual factors influencing attitudes towards autonomous mobility. This book also examines the role of shared autonomous systems in addressing urban challenges such as congestion and equity, highlighting their potential to create more sustainable urban transportation networks. Concluding with a discussion on the disruptive impacts of autonomous vehicles on urban form and land use, the author provides a balanced perspective on the opportunities and risks of mobility-as-a-service. This key reference book equips academics, policymakers, urban planners, and industry professionals with the knowledge to navigate the complex interplay of technology, policy, and societal impact, advancing the vision of smarter and more sustainable cities. This volume, alongside its companion—Autonomous Urban Mobility: Understanding Adoption Parameters, Perceptions, Perspectives—offers a holistic view of autonomous urban mobility. Together, these books provide a comprehensive exploration of the rapidly evolving landscape of autonomous urban mobility, the principles guiding its innovation, the wide-ranging impacts of its adoption on society, policy, and urban environments, and the transformative potential of autonomous vehicles in the future of urban transportation.

This book delves into the complex landscape of autonomous urban mobility, analysing the factors that influence public adoption, stakeholder perspectives, and societal perceptions in this rapidly evolving field. Aimed at scholars, policymakers, urban planners, and industry professionals, this book offers a thorough exploration of the key elements driving the integration of autonomous vehicles in urban settings. Drawing on empirical evidence from diverse case studies, it first investigates public awareness, emphasising the roles of knowledge, exposure, and media in shaping perceptions of autonomous vehicles, and underscores the critical need for targeted awareness campaigns. Subsequent chapters examine pre-trial attitudes towards autonomous shuttles, demonstrating how initial experiences significantly impact adoption willingness, and advocate for pilot programs to cultivate informed, positive perceptions. This book also explores the potential of smart mobility solutions to bridge first/last mile gaps, presenting data on how autonomous vehicles can improve urban transport efficiency and accessibility. By analysing socio-demographic predictors, it highlights varying perceptions of the benefits and challenges of autonomous demand-responsive transit, underscoring the importance of tailored strategies for diverse urban populations. Stakeholder perspectives, gathered through interviews and case studies, offer practical recommendations for overcoming technological, regulatory, and societal hurdles. Comparative insights from international case studies broaden the understanding of local factors influencing autonomous vehicle acceptance, while advanced modelling techniques identify the key drivers of driverless car adoption. Finally, this book explores the transformative potential of autonomous vehicles in developing countries, offering visionary insights into their capacity to reshape urban landscapes. With its data-rich content and forward-thinking analysis, this book is an indispensable guide to the future of urban transportation and the critical role of autonomous mobility. This volume, alongside its companion—Autonomous Urban Mobility: Understanding Innovation Principles, Priorities, Policies—offers a holistic view of autonomous urban mobility. Together, these books provide a comprehensive exploration of the rapidly evolving landscape of autonomous urban mobility, the principles guiding its innovation, the wide-ranging impacts of its adoption on society, policy, and urban environments, and the transformative potential of autonomous vehicles in the future of urban transportation.

This book delves into the complex landscape of autonomous urban mobility, analysing the factors that influence public adoption, stakeholder perspectives, and societal perceptions in this rapidly evolving field. Aimed at scholars, policymakers, urban planners, and industry professionals, this book offers a thorough exploration of the key elements driving the integration of autonomous vehicles in urban settings. Drawing on empirical evidence from diverse case studies, it first investigates public awareness, emphasising the roles of knowledge, exposure, and media in shaping perceptions of autonomous vehicles, and underscores the critical need for targeted awareness campaigns. Subsequent chapters examine pre-trial attitudes towards autonomous shuttles, demonstrating how initial experiences significantly impact adoption willingness, and advocate for pilot programs to cultivate informed, positive perceptions. This book also explores the potential of smart mobility solutions to bridge first/last mile gaps, presenting data on how autonomous vehicles can improve urban transport efficiency and accessibility. By analysing socio-demographic predictors, it highlights varying perceptions of the benefits and challenges of autonomous demand-responsive transit, underscoring the importance of tailored strategies for diverse urban populations. Stakeholder perspectives, gathered through interviews and case studies, offer practical recommendations for overcoming technological, regulatory, and societal hurdles. Comparative insights from international case studies broaden the understanding of local factors influencing autonomous vehicle acceptance, while advanced modelling techniques identify the key drivers of driverless car adoption. Finally, this book explores the transformative potential of autonomous vehicles in developing countries, offering visionary insights into their capacity to reshape urban landscapes. With its data-rich content and forward-thinking analysis, this book is an indispensable guide to the future of urban transportation and the critical role of autonomous mobility. This volume, alongside its companion—Autonomous Urban Mobility: Understanding Innovation Principles, Priorities, Policies—offers a holistic view of autonomous urban mobility. Together, these books provide a comprehensive exploration of the rapidly evolving landscape of autonomous urban mobility, the principles guiding its innovation, the wide-ranging impacts of its adoption on society, policy, and urban environments, and the transformative potential of autonomous vehicles in the future of urban transportation.

This book provides a comprehensive exploration of the rapidly evolving field of autonomous urban mobility, examining its transformative potential and the principles guiding its innovation. This essential resource offers deep insights into the societal, policy, and urban impacts of autonomous vehicles, drawing on an extensive body of research. Beginning with a review of smart urban mobility innovations, the book explores technological advancements such as connected vehicles, mobility-as-a-service platforms, and shared autonomous systems, evaluating their successes and challenges. This book traces the evolution of autonomous vehicle research over the past two decades, identifying key trends, methodologies, and future research directions, underscoring the importance of interdisciplinary approaches to address complex challenges. Subsequent chapters critically assess the technical capabilities, societal impacts, and policy frameworks necessary for the widespread adoption of autonomous vehicles, with a focus on implications for land use, infrastructure, and environmental planning. Public acceptance is a recurring theme, with an in-depth analysis of socio-demographic, psychological, and contextual factors influencing attitudes towards autonomous mobility. This book also examines the role of shared autonomous systems in addressing urban challenges such as congestion and equity, highlighting their potential to create more sustainable urban transportation networks. Concluding with a discussion on the disruptive impacts of autonomous vehicles on urban form and land use, the author provides a balanced perspective on the opportunities and risks of mobility-as-a-service. This key reference book equips academics, policymakers, urban planners, and industry professionals with the knowledge to navigate the complex interplay of technology, policy, and societal impact, advancing the vision of smarter and more sustainable cities. This volume, alongside its companion—Autonomous Urban Mobility: Understanding Adoption Parameters, Perceptions, Perspectives—offers a holistic view of autonomous urban mobility. Together, these books provide a comprehensive exploration of the rapidly evolving landscape of autonomous urban mobility, the principles guiding its innovation, the wide-ranging impacts of its adoption on society, policy, and urban environments, and the transformative potential of autonomous vehicles in the future of urban transportation.

Tan Yigitcanlar offers a comprehensive exploration of artificial intelligence’s (AI) role in shaping modern cities. This volume delves into how AI-driven analytics and big data provide city planners with deeper insights, enabling more informed decision-making. These insights lead to more efficient resource use, improved public services, and better infrastructure management. In the digital age, AI is revolutionising various sectors, fundamentally altering our approach to problem-solving and innovation. AI’s transformative power spans industries from healthcare to finance, and now, it is poised to redefine urban planning and development. Urban areas, as the epicentres of human activity and progress, face myriad challenges such as population growth, resource management, environmental sustainability, and infrastructure development. Traditional methods often fall short in addressing these complexities, making the integration of AI an essential frontier. Comprising seven extensive and insightful chapters, this volume bridges the gap between the theoretical potential and practical implementation of AI in urban contexts. It covers foundational concepts of urban AI, examines its applications across different domains, and explores how AI can improve urban life through smarter home technologies and personalised public services. This first volume is complemented by Urban Artificial Intelligence: A Guidebook for Understanding Perceptions and Ethics, which delves into the ethical and perceptual dimensions of AI in urban settings. Together, these volumes provide a holistic view of urban artificial intelligence, offering essential insights for urban planners, policymakers, researchers, and anyone interested in the intersection of AI and urban development.

Tan Yigitcanlar offers a comprehensive exploration of artificial intelligence’s (AI) role in shaping modern cities. This volume delves into how AI-driven analytics and big data provide city planners with deeper insights, enabling more informed decision-making. These insights lead to more efficient resource use, improved public services, and better infrastructure management. In the digital age, AI is revolutionising various sectors, fundamentally altering our approach to problem-solving and innovation. AI’s transformative power spans industries from healthcare to finance, and now, it is poised to redefine urban planning and development. Urban areas, as the epicentres of human activity and progress, face myriad challenges such as population growth, resource management, environmental sustainability, and infrastructure development. Traditional methods often fall short in addressing these complexities, making the integration of AI an essential frontier. Comprising seven extensive and insightful chapters, this volume bridges the gap between the theoretical potential and practical implementation of AI in urban contexts. It covers foundational concepts of urban AI, examines its applications across different domains, and explores how AI can improve urban life through smarter home technologies and personalised public services. This first volume is complemented by Urban Artificial Intelligence: A Guidebook for Understanding Perceptions and Ethics, which delves into the ethical and perceptual dimensions of AI in urban settings. Together, these volumes provide a holistic view of urban artificial intelligence, offering essential insights for urban planners, policymakers, researchers, and anyone interested in the intersection of AI and urban development.

This volume thoroughly explores the perceptions and ethical considerations surrounding urban artificial intelligence (AI). Tan Yigitcanlar delves into the complex public and professional views on AI, offering invaluable insights for policymakers, urban planners, and developers. As the world rapidly advances technologically, the role of AI has become increasingly significant. AI’s transformative power spans various sectors, revolutionising how we operate and innovate in fields such as healthcare, finance, agriculture, and space exploration. Despite its wide-reaching impact, the integration of AI into urban planning and development remains relatively underexplored. This is surprising given AI’s immense potential to revolutionise urban design, management, and experience. Comprising eight comprehensive and insightful chapters, this book examines AI’s role in urban contexts, including its applications, public perceptions, and ethical implications. The first part of the guidebook delves into varied perceptions of AI within different urban sectors, presenting detailed perception analyses on AI’s role in urban planning, local government services, disaster management, and the construction industry. The second part shifts focus to the ethical implications and responsible implementation of AI in urban settings. It provides frameworks and strategies to ensure AI technologies contribute positively to urban development while mitigating potential risks and ethical concerns. This volume, alongside its companion Urban Artificial Intelligence: A Guidebook for Understanding Concepts and Technologies, offers a holistic view of Urban Artificial Intelligence. Together, these books provide essential insights for urban planners, policymakers, researchers, and anyone interested in AI and urban development, guiding responsible AI integration to foster smarter, more sustainable, and equitable urban environments.

This volume thoroughly explores the perceptions and ethical considerations surrounding urban artificial intelligence (AI). Tan Yigitcanlar delves into the complex public and professional views on AI, offering invaluable insights for policymakers, urban planners, and developers. As the world rapidly advances technologically, the role of AI has become increasingly significant. AI’s transformative power spans various sectors, revolutionising how we operate and innovate in fields such as healthcare, finance, agriculture, and space exploration. Despite its wide-reaching impact, the integration of AI into urban planning and development remains relatively underexplored. This is surprising given AI’s immense potential to revolutionise urban design, management, and experience. Comprising eight comprehensive and insightful chapters, this book examines AI’s role in urban contexts, including its applications, public perceptions, and ethical implications. The first part of the guidebook delves into varied perceptions of AI within different urban sectors, presenting detailed perception analyses on AI’s role in urban planning, local government services, disaster management, and the construction industry. The second part shifts focus to the ethical implications and responsible implementation of AI in urban settings. It provides frameworks and strategies to ensure AI technologies contribute positively to urban development while mitigating potential risks and ethical concerns. This volume, alongside its companion Urban Artificial Intelligence: A Guidebook for Understanding Concepts and Technologies, offers a holistic view of Urban Artificial Intelligence. Together, these books provide essential insights for urban planners, policymakers, researchers, and anyone interested in AI and urban development, guiding responsible AI integration to foster smarter, more sustainable, and equitable urban environments.

The use of data science and urban analytics has become a defining feature of smart cities. This timely book is a clear guide to the use of social media data for urban analytics. The book presents the foundations of urban analytics with social media data, along with real-world applications and insights on the platforms we use today. It looks at social media analytics platforms, cyberphysical data analytics platforms, crowd detection platforms, City-as-a-Platform, and city-as-a-sensor for platform urbanism. The book provides examples to illustrate how we apply and analyse social media data to determine disaster severity, assist authorities with pandemic policy, and capture public perception of smart cities. This will be a useful reference for those involved with and researching social, data, and urban analytics and informatics.

This book aims to fill the knowledge gap on how to plan, develop and manage innovation districts that are competitive in terms of both productivity and quality of living, justifying the massive investment put into place and at the same time doing both in a delicate and harmonious way. There is a need for smart urban land use that is wired with both hard infrastructures (e.g., telecommunication and transport) and soft infrastructures (e.g., diversity and tolerance). The reader learns this knowledge through conceptual expansions for key insights, frameworks for potential and performance assessment and best practices for global innovation districts. The authors begin innovation district planning with the role and effectiveness of planning a branding in the development of innovation districts. The next key topic of place making is recognised as a key strategy for supporting knowledge generation and innovation activities in the contemporary innovation districts. Another important topic is place quality where the reader learns to identify and classify indicators of place quality by studying global innovation districts best practices. The reader also expands their understanding on the classification of innovation districts based on their key characteristics through a methodological approach. The book concludes with district smartness studied through the socio-cultural role played by anchor universities in facilitating place making in innovation districts. Smart campuses, enabled by digital transformation opportunities in higher education, are seen as a miniature replica of smart cities and serve as living labs for smart technology. The book serves as a repository for scholars, researchers, postgraduate and undergraduate students as it communicates the complex innovation district phenomenon in an easy-to-digest form by providing both the big picture view and specifics of each component of that view.

This book aims to fill the knowledge gap on how to plan, develop and manage innovation districts that are competitive in terms of both productivity and quality of living, justifying the massive investment put into place and at the same time doing both in a delicate and harmonious way. There is a need for smart urban land use that is wired with both hard infrastructures (e.g., telecommunication and transport) and soft infrastructures (e.g., diversity and tolerance). The reader learns this knowledge through conceptual expansions for key insights, frameworks for potential and performance assessment and best practices for global innovation districts. The authors begin innovation district planning with the role and effectiveness of planning a branding in the development of innovation districts. The next key topic of place making is recognised as a key strategy for supporting knowledge generation and innovation activities in the contemporary innovation districts. Another important topic is place quality where the reader learns to identify and classify indicators of place quality by studying global innovation districts best practices. The reader also expands their understanding on the classification of innovation districts based on their key characteristics through a methodological approach. The book concludes with district smartness studied through the socio-cultural role played by anchor universities in facilitating place making in innovation districts. Smart campuses, enabled by digital transformation opportunities in higher education, are seen as a miniature replica of smart cities and serve as living labs for smart technology. The book serves as a repository for scholars, researchers, postgraduate and undergraduate students as it communicates the complex innovation district phenomenon in an easy-to-digest form by providing both the big picture view and specifics of each component of that view.

The smart city movement, during the last decade and a half, advocated the built environment and digital technology convergence with the backing of institutional capital and government support. The commitment of a significant number of local governments across the globe, in terms of official smart city policies and initiatives, along with the constant push of global technology giants, has reinforced the popularity of this movement. This two-volume treatment on smart cities thoroughly explores and sheds light on the prominent elements of the smart city phenomenon and generates a smart city blueprint. The first volume, with its 12 chapters, provides a sound understanding on the key foundations and growth directions of smart city frameworks, technologies, and platforms, with theoretical expansions, practical implications, and real-world case study lessons. The second companion volume offers sophisticated perspectives on the key foundations and directions of smart city policies, communities, and urban futures, with theoretical expansions, practical implications, and real-world case study lessons. These volumes offer an invaluable reference source for urban policymakers, managers, planners, practitioners, and many others, particularly to benefit from it when tackling key urban and societal issues and planning for and delivering smart city solutions. Moreover, the book is also a rich and important repository for scholars and research and undergraduate students.

The smart city movement, during the last decade and a half, advocated the built environment and digital technology convergence with the backing of institutional capital and government support. The commitment of a significant number of local governments across the globe, in terms of official smart city policies and initiatives, along with the constant push of global technology giants, has reinforced the popularity of this movement. This two-volume treatment on smart cities thoroughly explores and sheds light on the prominent elements of the smart city phenomenon and generates a smart city blueprint. This first volume, with its 12 chapters, provides a sound understanding on the key foundations and growth directions of smart city frameworks, technologies, and platforms, with theoretical expansions, practical implications, and real-world case study lessons. The second companion volume offers sophisticated perspectives on the key foundations and directions of smart city policies, communities, and urban futures, with theoretical expansions, practical implications, and real-world case study lessons. This book is an invaluable reference source for urban policymakers, managers, planners, practitioners, and many others, particularly to benefit from it when tackling key urban and societal issues and planning for and delivering smart city solutions. Moreover, the book is also a rich and important repository for scholars and research and undergraduate students as it communicates the complex smart city phenomenon in an easy to digest form, by providing both the big picture view and specifics of each component of that view. It also appeals to local government agencies and smart city practitioners.

The smart city movement, during the last decade and a half, advocated the built environment and digital technology convergence with the backing of institutional capital and government support. The commitment of a significant number of local governments across the globe, in terms of official smart city policies and initiatives, along with the constant push of global technology giants, has reinforced the popularity of this movement. This two-volume treatment on smart cities thoroughly explores and sheds light on the prominent elements of the smart city phenomenon and generates a smart city blueprint. The first volume, with its 12 chapters, provides a sound understanding on the key foundations and growth directions of smart city frameworks, technologies, and platforms, with theoretical expansions, practical implications, and real-world case study lessons. The second companion volume offers sophisticated perspectives on the key foundations and directions of smart city policies, communities, and urban futures, with theoretical expansions, practical implications, and real-world case study lessons. These volumes offer an invaluable reference source for urban policymakers, managers, planners, practitioners, and many others, particularly to benefit from it when tackling key urban and societal issues and planning for and delivering smart city solutions. Moreover, the book is also a rich and important repository for scholars and research and undergraduate students.

The smart city movement, during the last decade and a half, advocated the built environment and digital technology convergence with the backing of institutional capital and government support. The commitment of a significant number of local governments across the globe, in terms of official smart city policies and initiatives, along with the constant push of global technology giants, has reinforced the popularity of this movement. This two-volume treatment on smart cities thoroughly explores and sheds light on the prominent elements of the smart city phenomenon and generates a smart city blueprint. This first volume, with its 12 chapters, provides a sound understanding on the key foundations and growth directions of smart city frameworks, technologies, and platforms, with theoretical expansions, practical implications, and real-world case study lessons. The second companion volume offers sophisticated perspectives on the key foundations and directions of smart city policies, communities, and urban futures, with theoretical expansions, practical implications, and real-world case study lessons. This book is an invaluable reference source for urban policymakers, managers, planners, practitioners, and many others, particularly to benefit from it when tackling key urban and societal issues and planning for and delivering smart city solutions. Moreover, the book is also a rich and important repository for scholars and research and undergraduate students as it communicates the complex smart city phenomenon in an easy to digest form, by providing both the big picture view and specifics of each component of that view. It also appeals to local government agencies and smart city practitioners.

The use of data science and urban analytics has become a defining feature of smart cities. This timely book is a clear guide to the use of social media data for urban analytics. The book presents the foundations of urban analytics with social media data, along with real-world applications and insights on the platforms we use today. It looks at social media analytics platforms, cyberphysical data analytics platforms, crowd detection platforms, City-as-a-Platform, and city-as-a-sensor for platform urbanism. The book provides examples to illustrate how we apply and analyse social media data to determine disaster severity, assist authorities with pandemic policy, and capture public perception of smart cities. This will be a useful reference for those involved with and researching social, data, and urban analytics and informatics.

The interplay between smart urban technologies and city development is a relatively uncharted territory. Technology and the City aims to fill that gap, exploring the growing importance of smart technologies and systems in contemporary cities, and providing an in-depth understanding of both theoretical and practical aspects of smart urban technology adoption, and its implications for our cities. Beginning with an elaboration of the historical significance of technologies in economic growth, social progress and urban development, Yigitcanlar introduces the most prominent smart urban information technologies. The book showcases significant smart city practices from across the globe that uses smart urban technologies and systems most effectively. It explores the role of these technologies and asks how they can be adopted into the planning, development and management processes of cities for sustainable urban futures. This pioneering volume contributes to the conceptualisation and practice of smart technology and system adoption in our cities by disseminating both conceptual and empirical research findings with real-world best practice applications. With a multidisciplinary approach to themes of technology and urban development, this book is a key reference source for scholars, practitioners, consultants, city officials, policymakers and urban technology enthusiasts.