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Data as Infrastructure for Smart Cities

Author: Larissa Suzuki

Publisher: Institution of Engineering and Technology

Published: 2019

Total Pages: 313

ISBN-13: 1785615998

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This book describes how smart cities can be designed with data at their heart, moving from a broad vision to a consistent city-wide collaborative configuration of activities. The authors present a comprehensive framework of techniques to help decision makers in cities analyse their business strategies, design data infrastructures to support these activities, understand stakeholders' expectations, and translate this analysis into a competitive strategy for creating a smart city data infrastructure. Readers can take advantage of unprecedented insights into how cities and infrastructures function and be ready to overcome complex challenges. The framework presented in this book has guided the design of several urban platforms in the European Union and the design of the City Data Strategy of the Mayor of London, UK.

Book Synopsis Data as Infrastructure for Smart Cities by : Larissa Suzuki

Download or read book Data as Infrastructure for Smart Cities written by Larissa Suzuki and published by Institution of Engineering and Technology. This book was released on 2019 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes how smart cities can be designed with data at their heart, moving from a broad vision to a consistent city-wide collaborative configuration of activities. The authors present a comprehensive framework of techniques to help decision makers in cities analyse their business strategies, design data infrastructures to support these activities, understand stakeholders' expectations, and translate this analysis into a competitive strategy for creating a smart city data infrastructure. Readers can take advantage of unprecedented insights into how cities and infrastructures function and be ready to overcome complex challenges. The framework presented in this book has guided the design of several urban platforms in the European Union and the design of the City Data Strategy of the Mayor of London, UK.

Smart Cities: A Data Analytics Perspective

Author: Mohammad Ayoub Khan

Publisher: Springer Nature

Published: 2020-12-11

Total Pages: 322

ISBN-13: 3030609227

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This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart city is an advanced technological area that is capable of understanding the environment by examining the data to improve the livability. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data. The smart city has a focus on data analytics facilitated through the IoT platforms. There is a need to customize the IoT architecture and infrastructures to address needs in application of specific domains of smart cities such as transportation, traffic, health and, environment. The smart cities will provide next generation development technologies for urbanization that includes the need of environmental sustainability, personalization, mobility, optimum energy utilization, better administrative services and higher quality of life. Each chapter presents the reader with an in-depth investigation regarding the possibility of data analytics perspective in smart cities. The book presents cutting-edge and future perspectives of smart cities, where industry experts, scientists, and scholars exchange ideas and experience about surrounding frontier technologies, breakthrough and innovative solutions and applications.

Book Synopsis Smart Cities: A Data Analytics Perspective by : Mohammad Ayoub Khan

Download or read book Smart Cities: A Data Analytics Perspective written by Mohammad Ayoub Khan and published by Springer Nature. This book was released on 2020-12-11 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart city is an advanced technological area that is capable of understanding the environment by examining the data to improve the livability. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data. The smart city has a focus on data analytics facilitated through the IoT platforms. There is a need to customize the IoT architecture and infrastructures to address needs in application of specific domains of smart cities such as transportation, traffic, health and, environment. The smart cities will provide next generation development technologies for urbanization that includes the need of environmental sustainability, personalization, mobility, optimum energy utilization, better administrative services and higher quality of life. Each chapter presents the reader with an in-depth investigation regarding the possibility of data analytics perspective in smart cities. The book presents cutting-edge and future perspectives of smart cities, where industry experts, scientists, and scholars exchange ideas and experience about surrounding frontier technologies, breakthrough and innovative solutions and applications.

Data Analytics for Smart Cities

Author: Amir H. Alavi

Publisher: Auerbach Publications

Published: 2023-01-09

Total Pages: 0

ISBN-13: 9781032475967

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This book is a reference for researchers and engineers in domains of advanced computation, optimization and data mining for smart cities and cyber-physical systems. It is also particularly suitable to advanced students who wish to use relevant book chapters as a basis to pursue further research in these areas.

Book Synopsis Data Analytics for Smart Cities by : Amir H. Alavi

Download or read book Data Analytics for Smart Cities written by Amir H. Alavi and published by Auerbach Publications. This book was released on 2023-01-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a reference for researchers and engineers in domains of advanced computation, optimization and data mining for smart cities and cyber-physical systems. It is also particularly suitable to advanced students who wish to use relevant book chapters as a basis to pursue further research in these areas.

Implementing Data-Driven Strategies in Smart Cities

Author: Didier Grimaldi

Publisher: Elsevier

Published: 2021-09-18

Total Pages: 258

ISBN-13: 0128211237

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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

Book Synopsis Implementing Data-Driven Strategies in Smart Cities by : Didier Grimaldi

Download or read book Implementing Data-Driven Strategies in Smart Cities written by Didier Grimaldi and published by Elsevier. This book was released on 2021-09-18 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Solving Urban Infrastructure Problems Using Smart City Technologies

Author: John Vacca

Publisher: Elsevier

Published: 2020-09-22

Total Pages: 820

ISBN-13: 012816817X

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Solving Urban Infrastructure Problems Using Smart City Technologies is the most complete guide for integrating next generation smart city technologies into the very foundation of urban areas worldwide, showing how to make urban areas more efficient, more sustainable, and safer. Smart cities are complex systems of systems that encompass all aspects of modern urban life. A key component of their success is creating an ecosystem of smart infrastructures that can work together to enable dynamic, real-time interactions between urban subsystems such as transportation, energy, healthcare, housing, food, entertainment, work, social interactions, and governance. Solving Urban Infrastructure Problems Using Smart City Technologies is a complete reference for building a holistic, system-level perspective on smart and sustainable cities, leveraging big data analytics and strategies for planning, zoning, and public policy. It offers in-depth coverage and practical solutions for how smart cities can utilize resident’s intellectual and social capital, press environmental sustainability, increase personalization, mobility, and higher quality of life. Brings together experts from academia, government and industry to offer state-of- the-art solutions for urban system problems, showing how smart technologies can be used to improve the lives of the billions of people living in cities across the globe Demonstrates practical implementation solutions through real-life case studies Enhances reader comprehension with learning aid such as hands-on exercises, questions and answers, checklists, chapter summaries, chapter review questions, exercise problems, and more

Book Synopsis Solving Urban Infrastructure Problems Using Smart City Technologies by : John Vacca

Download or read book Solving Urban Infrastructure Problems Using Smart City Technologies written by John Vacca and published by Elsevier. This book was released on 2020-09-22 with total page 820 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solving Urban Infrastructure Problems Using Smart City Technologies is the most complete guide for integrating next generation smart city technologies into the very foundation of urban areas worldwide, showing how to make urban areas more efficient, more sustainable, and safer. Smart cities are complex systems of systems that encompass all aspects of modern urban life. A key component of their success is creating an ecosystem of smart infrastructures that can work together to enable dynamic, real-time interactions between urban subsystems such as transportation, energy, healthcare, housing, food, entertainment, work, social interactions, and governance. Solving Urban Infrastructure Problems Using Smart City Technologies is a complete reference for building a holistic, system-level perspective on smart and sustainable cities, leveraging big data analytics and strategies for planning, zoning, and public policy. It offers in-depth coverage and practical solutions for how smart cities can utilize resident’s intellectual and social capital, press environmental sustainability, increase personalization, mobility, and higher quality of life. Brings together experts from academia, government and industry to offer state-of- the-art solutions for urban system problems, showing how smart technologies can be used to improve the lives of the billions of people living in cities across the globe Demonstrates practical implementation solutions through real-life case studies Enhances reader comprehension with learning aid such as hands-on exercises, questions and answers, checklists, chapter summaries, chapter review questions, exercise problems, and more

Growing Fairly

Author: Stephen Goldsmith

Publisher: Brookings Institution Press

Published: 2022-02-22

Total Pages: 281

ISBN-13: 0815739494

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Tested, practical ideas to meet current and future skilling needs of both workers and employers The labor market in the United States faces seemingly contradictory challenges: Many employers have trouble finding qualified applicants for current and future jobs, while millions of Americans are out of work or are underemployed—their paths to living-wage jobs blocked by systemic barriers or lack of adequate skills. Growing Fairly offers workforce development reforms that meet the needs of both workers and employers. Based on the experiences of hundreds of leaders and workers, the authors set out ten principles for designing a more effective and equitable system that helps workers obtain the skills necessary for economic mobility. The principles outlined in the book argue for a more comprehensive view of the skilling needs of current and prospective workers. They spell out the attributes of effective programs and make the case for skill-based hiring, widely distributed performance data, and collaboration. The book emphasizes the importance of local action to overcome the structural barriers that challenge even the most determined would-be learners. Growing Fairly shows cross sector leaders how to work across organizational boundaries to change the trajectory of individuals struggling to make a living wage. This is not a book of untested theories. Instead, it is written by practitioners for practitioners. Much of it is told through the voices of those who run programs and people who have taken advantage of them. While the issues the book addresses are profound, its take on the subject is optimistic. Between them, the authors have spent decades searching out and supporting effective practices. Even more critically, they have learned how to knit competing agencies and organizations into cohesive systems with coordinated missions. Their practical ideas will benefit a wide range of readers, from practitioners in the field to students and scholars of the American labor system.

Book Synopsis Growing Fairly by : Stephen Goldsmith

Download or read book Growing Fairly written by Stephen Goldsmith and published by Brookings Institution Press. This book was released on 2022-02-22 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tested, practical ideas to meet current and future skilling needs of both workers and employers The labor market in the United States faces seemingly contradictory challenges: Many employers have trouble finding qualified applicants for current and future jobs, while millions of Americans are out of work or are underemployed—their paths to living-wage jobs blocked by systemic barriers or lack of adequate skills. Growing Fairly offers workforce development reforms that meet the needs of both workers and employers. Based on the experiences of hundreds of leaders and workers, the authors set out ten principles for designing a more effective and equitable system that helps workers obtain the skills necessary for economic mobility. The principles outlined in the book argue for a more comprehensive view of the skilling needs of current and prospective workers. They spell out the attributes of effective programs and make the case for skill-based hiring, widely distributed performance data, and collaboration. The book emphasizes the importance of local action to overcome the structural barriers that challenge even the most determined would-be learners. Growing Fairly shows cross sector leaders how to work across organizational boundaries to change the trajectory of individuals struggling to make a living wage. This is not a book of untested theories. Instead, it is written by practitioners for practitioners. Much of it is told through the voices of those who run programs and people who have taken advantage of them. While the issues the book addresses are profound, its take on the subject is optimistic. Between them, the authors have spent decades searching out and supporting effective practices. Even more critically, they have learned how to knit competing agencies and organizations into cohesive systems with coordinated missions. Their practical ideas will benefit a wide range of readers, from practitioners in the field to students and scholars of the American labor system.

Smart Cities

Author: Negin Minaei

Publisher: CRC Press

Published: 2022-03-22

Total Pages: 166

ISBN-13: 1000552055

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In the age of global climate change, society will require cities that are environmentally self-sufficient, able to withstand various environmental problems and recover quickly. It is interesting to note that many "smart" solutions for cities are leading to an unsustainable future, including further electrification, an increased dependence on the Internet, Internet of Things, Big Data, and Artificial Intelligence, and basically any technology that leads us to consume more electricity. This book examines critical topics in Smart Cities such as true sustainability and the resilience required for all cities. It explores sustainability issues in agriculture and the role of agri-technology for a sustainable future, including a city’s ability to locally produce food for its residents. Features: Discusses safety, security, data management, and privacy issues in Smart Cities Examines the various emerging forms of transportation infrastructure and new vehicle technology Considers how energy efficiency can be achieved through behavioral change through specific building operations Smart Cities: Critical Debates on Big Data, Urban Development and Social Environmental Sustainability brings awareness to professionals working in the fields of environmental, civil, and transportation engineering, urban planners, and political leaders about different environmental aspects of Smart Cities and refocuses attention on critical urban infrastructure that will be necessary to respond to future challenges including climate change, food insecurity, natural hazards, energy production, and resilience.

Book Synopsis Smart Cities by : Negin Minaei

Download or read book Smart Cities written by Negin Minaei and published by CRC Press. This book was released on 2022-03-22 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the age of global climate change, society will require cities that are environmentally self-sufficient, able to withstand various environmental problems and recover quickly. It is interesting to note that many "smart" solutions for cities are leading to an unsustainable future, including further electrification, an increased dependence on the Internet, Internet of Things, Big Data, and Artificial Intelligence, and basically any technology that leads us to consume more electricity. This book examines critical topics in Smart Cities such as true sustainability and the resilience required for all cities. It explores sustainability issues in agriculture and the role of agri-technology for a sustainable future, including a city’s ability to locally produce food for its residents. Features: Discusses safety, security, data management, and privacy issues in Smart Cities Examines the various emerging forms of transportation infrastructure and new vehicle technology Considers how energy efficiency can be achieved through behavioral change through specific building operations Smart Cities: Critical Debates on Big Data, Urban Development and Social Environmental Sustainability brings awareness to professionals working in the fields of environmental, civil, and transportation engineering, urban planners, and political leaders about different environmental aspects of Smart Cities and refocuses attention on critical urban infrastructure that will be necessary to respond to future challenges including climate change, food insecurity, natural hazards, energy production, and resilience.

Data Analytics for Smart Cities

Author: Amir Alavi

Publisher: CRC Press

Published: 2018-10-26

Total Pages: 240

ISBN-13: 0429786638

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The development of smart cities is one of the most important challenges over the next few decades. Governments and companies are leveraging billions of dollars in public and private funds for smart cities. Next generation smart cities are heavily dependent on distributed smart sensing systems and devices to monitor the urban infrastructure. The smart sensor networks serve as autonomous intelligent nodes to measure a variety of physical or environmental parameters. They should react in time, establish automated control, and collect information for intelligent decision-making. In this context, one of the major tasks is to develop advanced frameworks for the interpretation of the huge amount of information provided by the emerging testing and monitoring systems. Data Analytics for Smart Cities brings together some of the most exciting new developments in the area of integrating advanced data analytics systems into smart cities along with complementary technological paradigms such as cloud computing and Internet of Things (IoT). The book serves as a reference for researchers and engineers in domains of advanced computation, optimization, and data mining for smart civil infrastructure condition assessment, dynamic visualization, intelligent transportation systems (ITS), cyber-physical systems, and smart construction technologies. The chapters are presented in a hands-on manner to facilitate researchers in tackling applications. Arguably, data analytics technologies play a key role in tackling the challenge of creating smart cities. Data analytics applications involve collecting, integrating, and preparing time- and space-dependent data produced by sensors, complex engineered systems, and physical assets, followed by developing and testing analytical models to verify the accuracy of results. This book covers this multidisciplinary field and examines multiple paradigms such as machine learning, pattern recognition, statistics, intelligent databases, knowledge acquisition, data visualization, high performance computing, and expert systems. The book explores new territory by discussing the cutting-edge concept of Big Data analytics for interpreting massive amounts of data in smart city applications.

Book Synopsis Data Analytics for Smart Cities by : Amir Alavi

Download or read book Data Analytics for Smart Cities written by Amir Alavi and published by CRC Press. This book was released on 2018-10-26 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of smart cities is one of the most important challenges over the next few decades. Governments and companies are leveraging billions of dollars in public and private funds for smart cities. Next generation smart cities are heavily dependent on distributed smart sensing systems and devices to monitor the urban infrastructure. The smart sensor networks serve as autonomous intelligent nodes to measure a variety of physical or environmental parameters. They should react in time, establish automated control, and collect information for intelligent decision-making. In this context, one of the major tasks is to develop advanced frameworks for the interpretation of the huge amount of information provided by the emerging testing and monitoring systems. Data Analytics for Smart Cities brings together some of the most exciting new developments in the area of integrating advanced data analytics systems into smart cities along with complementary technological paradigms such as cloud computing and Internet of Things (IoT). The book serves as a reference for researchers and engineers in domains of advanced computation, optimization, and data mining for smart civil infrastructure condition assessment, dynamic visualization, intelligent transportation systems (ITS), cyber-physical systems, and smart construction technologies. The chapters are presented in a hands-on manner to facilitate researchers in tackling applications. Arguably, data analytics technologies play a key role in tackling the challenge of creating smart cities. Data analytics applications involve collecting, integrating, and preparing time- and space-dependent data produced by sensors, complex engineered systems, and physical assets, followed by developing and testing analytical models to verify the accuracy of results. This book covers this multidisciplinary field and examines multiple paradigms such as machine learning, pattern recognition, statistics, intelligent databases, knowledge acquisition, data visualization, high performance computing, and expert systems. The book explores new territory by discussing the cutting-edge concept of Big Data analytics for interpreting massive amounts of data in smart city applications.

Handbook of Smart Cities

Author: Muthucumaru Maheswaran

Publisher: Springer

Published: 2018-11-15

Total Pages: 406

ISBN-13: 3319972715

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This handbook provides a glimpse of the research that is underway in smart cities, with an examination of the relevant issues. It describes software infrastructures for smart cities, the role of 5G and Internet of things in future smart cities scenarios, the use of clouds and sensor-based devices for monitoring and managing smart city facilities, a variety of issues in the emerging field of urban informatics, and various smart city applications. Handbook of Smart Cities includes fifteen chapters from renowned worldwide researchers working on various aspects of smart city scale cyber-physical systems. It is intended for researchers, developers of smart city technologies and advanced-level students in the fields of communication systems, computer science, and data science. This handbook is also designed for anyone wishing to find out more about the on-going research thrusts and deployment experiences in smart cities. It is meant to provide a snapshot of the state-of-the-art at the time of its writing in several software services and cyber infrastructures as pertinent to smart cities. This handbook presents application case studies in video surveillance, smart parking, and smart building management in the smart city context. Unique experiences in designing and implementing the applications or the issues involved in developing smart city level applications are described in these chapters. Integration of machine learning into several smart city application scenarios is also examined in some chapters of this handbook.

Book Synopsis Handbook of Smart Cities by : Muthucumaru Maheswaran

Download or read book Handbook of Smart Cities written by Muthucumaru Maheswaran and published by Springer. This book was released on 2018-11-15 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides a glimpse of the research that is underway in smart cities, with an examination of the relevant issues. It describes software infrastructures for smart cities, the role of 5G and Internet of things in future smart cities scenarios, the use of clouds and sensor-based devices for monitoring and managing smart city facilities, a variety of issues in the emerging field of urban informatics, and various smart city applications. Handbook of Smart Cities includes fifteen chapters from renowned worldwide researchers working on various aspects of smart city scale cyber-physical systems. It is intended for researchers, developers of smart city technologies and advanced-level students in the fields of communication systems, computer science, and data science. This handbook is also designed for anyone wishing to find out more about the on-going research thrusts and deployment experiences in smart cities. It is meant to provide a snapshot of the state-of-the-art at the time of its writing in several software services and cyber infrastructures as pertinent to smart cities. This handbook presents application case studies in video surveillance, smart parking, and smart building management in the smart city context. Unique experiences in designing and implementing the applications or the issues involved in developing smart city level applications are described in these chapters. Integration of machine learning into several smart city application scenarios is also examined in some chapters of this handbook.