Implementing Data-Driven Strategies in Smart Cities Books

Click Get Book Button To Download or read online Implementing Data-Driven Strategies in Smart Cities books, Available in PDF, ePub, Tuebl and Kindle. This site is like a library, Use search box in the widget to get ebook that you want.

Implementing Data Driven Strategies in Smart Cities


Implementing Data Driven Strategies in Smart Cities
  • Author : Didier Grimaldi
  • Publisher : Elsevier
  • Release : 2021-09-01
  • ISBN : 9780128211236
  • Language : En, Es, Fr & De
GET BOOK

Implementing Data-Driven Strategies in Smart Cities is a guidebook and roadmap for practitioners seeking to operationalize data-driven urban interventions. The book examines the revolution that big data, data science, and the Internet of Things are making feasible for cities, then explores alternate topologies, typologies, and approaches to operationalize data science in cities—all drawn from global examples, including top-down, bottom-up, greenfield, brownfield, issue-based, and data-driven. The guide channels and expands on the classic data science model for data-driven interventions in cities—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 Helsinki, Nice, Tartu, San Cugat, Singapore, Sao Paolo, Bilbao, and Goyang City. 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, transport, 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 of your own business agenda Presents cutting edge technology including innovations such as blockchain, artificial intelligence, and digital twins

Implementing Data Driven Strategies in Smart Cities


Implementing Data Driven Strategies in Smart Cities
  • Author : Didier Grimaldi
  • Publisher : Elsevier Science
  • Release : 2021-09-15
  • ISBN : 0128211229
  • Language : En, Es, Fr & De
GET BOOK

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

Data Driven Mining Learning and Analytics for Secured Smart Cities


Data Driven Mining  Learning and Analytics for Secured Smart Cities
  • Author : Chinmay Chakraborty
  • Publisher : Springer Nature
  • Release :
  • ISBN : 9783030721398
  • Language : En, Es, Fr & De
GET BOOK

Inside Smart Cities


Inside Smart Cities
  • Author : Andrew Karvonen
  • Publisher : Routledge
  • Release : 2018-09-12
  • ISBN : 9781351166188
  • Language : En, Es, Fr & De
GET BOOK

The era of the smart city has arrived. Only a decade ago, the promise of optimising urban services through the widespread application of information and communication technologies was largely a techno-utopian fantasy. Today, smart urbanisation is occurring via urban projects, policies and visions in hundreds of cities around the globe. Inside Smart Cities provides real-world evidence on how local authorities, small and medium enterprises, corporations, utility providers and civil society groups are creating smart cities at the neighbourhood, city and regional scales. Twenty three empirically detailed case studies from the Global North and South – ranging from Cape Town, Stockholm and Abu Dhabi to Philadelphia, Hong Kong and Santiago – illustrate the multiple and diverse incarnations of smart urbanism. The contributors draw on ideas from urban studies, geography, urban planning, science and technology studies and innovation studies to go beyond the rhetoric of technological innovation and reveal the political, social and physical implications of digitalising the built environment. Collectively, the practices of smart urbanism raise fundamental questions about the sustainability, liveability and resilience of cities in the future. The findings are relevant to academics, students, practitioners and urban stakeholders who are questioning how urban innovation relates to politics and place.

Smart Sustainable Cities of the Future


Smart Sustainable Cities of the Future
  • Author : Simon Elias Bibri
  • Publisher : Springer
  • Release : 2018-02-24
  • ISBN : 9783319739816
  • Language : En, Es, Fr & De
GET BOOK

This book is intended to help explore the field of smart sustainable cities in its complexity, heterogeneity, and breadth, the many faces of a topical subject of major importance for the future that encompasses so much of modern urban life in an increasingly computerized and urbanized world. Indeed, sustainable urban development is currently at the center of debate in light of several ICT visions becoming achievable and deployable computing paradigms, and shaping the way cities will evolve in the future and thus tackle complex challenges. This book integrates computer science, data science, complexity science, sustainability science, system thinking, and urban planning and design. As such, it contains innovative computer–based and data–analytic research on smart sustainable cities as complex and dynamic systems. It provides applied theoretical contributions fostering a better understanding of such systems and the synergistic relationships between the underlying physical and informational landscapes. It offers contributions pertaining to the ongoing development of computer–based and data science technologies for the processing, analysis, management, modeling, and simulation of big and context data and the associated applicability to urban systems that will advance different aspects of sustainability. This book seeks to explicitly bring together the smart city and sustainable city endeavors, and to focus on big data analytics and context-aware computing specifically. In doing so, it amalgamates the design concepts and planning principles of sustainable urban forms with the novel applications of ICT of ubiquitous computing to primarily advance sustainability. Its strength lies in combining big data and context–aware technologies and their novel applications for the sheer purpose of harnessing and leveraging the disruptive and synergetic effects of ICT on forms of city planning that are required for future forms of sustainable development. This is because the effects of such technologies reinforce one another as to their efforts for transforming urban life in a sustainable way by integrating data–centric and context–aware solutions for enhancing urban systems and facilitating coordination among urban domains. This timely and comprehensive book is aimed at a wide audience across science, academia industry, and policymaking. It provides the necessary material to inform relevant research communities of the state–of–the–art research and the latest development in the area of smart sustainable urban development, as well as a valuable reference for planners, designers, strategists, and ICT experts who are working towards the development and implementation of smart sustainable cities based on big data analytics and context–aware computing.