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Smart city is mindful every second and communicates, in real time, analyzed knowledge to citizen for satisfactory way of life, with easy delivery of services, comfortable mobility, conserving energy, environment and other natural resources, and creating energetic communities and a vibrant urban economy. Geographic Information Systems for Smart Cities explores the role of GIS in upgrading existing cities to smart cities. Beginning with a discussion on process of transition from existing GIS to smart city GIS, the book goes on to explore the GIS for smart and sustainable urbanization; practical difficulties in implementing and maintaining such self-aware GIS; open large scale geo-data management and web map services to achieve the smart city goals; role of GIS in community development. The book explains the adaptive urbanism for sea-level rise and environmentally sensitive land-use allocation for coastal smart cities. Chapters explaining the use of GIS for slum management and smart buildings in smart cities are also included. To emphasize on the importance of mobility in smart cities, the book discusses the role of using intra-day trip generation and travel management for a smart city; intelligent goods transportation system; GIS-based land-use suitability and transportation model. The latter part of the book explores agent-based simulation focused on natural disasters and safe location; biourbanism as a new framework for smart cities studies; new discipline of smart planning. Smart cities future, opportunities and barriers through scenario-based urban planning support system are discussed in detail. How past Indian experiences can be extended in future for smart Indian cities is explained. The book concludes with the identification of existing cities for upgradation, ways and means of activation of smart communities, smart institutional framework, smart economy and deployment of smart urban technologies. With its distinguished editor and international team of contributors, Geographic Information Systems for Smart Cities is a standard reference work for city planners, urban managers, GIS specialists, and policy makers who are actively involved in building smart cities.
The thesis concerns the use of the Geographic information system (GIS) for the construction of urban information system for Sustainable and Smart Cities. The work includes both the development of a methodology for the construction of the GIS-based urban information system and its application on to the large-scale demonstrator of the Smart and Sustainable City (SunRise Smart City).The thesis is composed of four parts. The first part includes a state of the art on the emergence of the Smart City Concept and the achievements in this area. It also presents the Geographic Information System (GIS) and its use in both environmental and urban areas.The second chapter presents the application of the GIS for the construction of the Urban Information System of the Scientific Campus of the University of Lille, which is used as a demonstration site for the project SunRise Smart City. The urban information system includes information about the campus buildings as well as the urban networks. The third chapter presents the use of the GIS for the visualization of dynamic data concerning urban networks, which is collected by smart sensors. The chapter presents the methodology followed for the dynamic data visualization as well as the application of this methodology on the water consumption data.The last chapter presents the use of the BIM in the SunRise urban information system for the management of buildings. The methodology is first presented then it is applied to a building of the Campus.
This book presents fundamental and applied research in developing geospatial modeling solutions to manage the challenges that urban areas are facing today. It aims to connect the academics, researchers, experts, town planners, investors and government officials to exchange ideas. The areas addressed include urban heat island analysis, urban flood vulnerability and risk mapping, green spaces, solar energy, infrastructure management, among others. The book suggests directions for smart city research and outlines practical propositions. As an emerging and critical area of research and development, much research is now being done with regard to cities. At the international level and in India alike, the “smart cities” concept is a vital topic for universities and research centers, and well as for civic bodies, town planners and policymakers. As such, the book offers a valuable resource for a broad readership.
Technological advancements have changed the way we think of traditional urban and spatial planning. The inclusion of conventional elements with modern technologies is allowing this field to advance at a rapid pace. Geospatial Technologies in Urban System Development: Emerging Research and Opportunities is a pivotal reference source for the latest research findings on the different tools and techniques ranging from mathematical sciences to spatial sciences which can be effective in unveiling the complexity of an urban system. Featuring extensive coverage on relevant areas such as urban traffic, remote sensing, and geographic information systems, this publication is an ideal resource for academics, researchers, graduate-level students, professionals, and policymakers in urban economy, regional planning, and information science disciplines.
This book is a selection of the best and peer-reviewed articles presented at the CUPUM (Computers in Urban Planning and Urban Management) conference, held in the second week of July 2015 at MIT in Boston, USA. The contributions provide state-of the art overview of the availability and application of Planning Support Systems (PSS) in the framework of Smart Cities.
Discover detailed insights into the methods, algorithms, and techniques for deep learning in sensor data analysis Sensor Data Analysis and Management: The Role of Deep Learning delivers an insightful and practical overview of the applications of deep learning techniques to the analysis of sensor data. The book collects cutting-edge resources into a single collection designed to enlighten the reader on topics as varied as recent techniques for fault detection and classification in sensor data, the application of deep learning to Internet of Things sensors, and a case study on high-performance computer gathering and processing of sensor data. The editors have curated a distinguished group of perceptive and concise papers that show the potential of deep learning as a powerful tool for solving complex modelling problems across a broad range of industries, including predictive maintenance, health monitoring, financial portfolio forecasting, and driver assistance. The book contains real-time examples of analyzing sensor data using deep learning algorithms and a step-by-step approach for installing and training deep learning using the Python keras library. Readers will also benefit from the inclusion of: A thorough introduction to the Internet of Things for human activity recognition, based on wearable sensor data An exploration of the benefits of neural networks in real-time environmental sensor data analysis Practical discussions of supervised learning data representation, neural networks for predicting physical activity based on smartphone sensor data, and deep-learning analysis of location sensor data for human activity recognition An analysis of boosting with XGBoost for sensor data analysis Perfect for industry practitioners and academics involved in deep learning and the analysis of sensor data, Sensor Data Analysis and Management: The Role of Deep Learning will also earn a place in the libraries of undergraduate and graduate students in data science and computer science programs.
This book offers a selection of the best articles presented at the CUPUM (Computers in Urban Planning and Urban Management) Conference, held in the second week of July 2017 at the University of South Australia in Adelaide. It provides a state-of-the-art overview of the availability and application of planning support systems (PSS) in the context of smart cities, big data, and urban futures. Rapid advances in computing, information, communication and web-based technologies are reaching into all facets of urban life, creating new and exciting urban futures. With the universal adoption of networked computing technologies, data generation is now so massive and all pervasive in society that it offers unprecedented technological solutions for planning and managing urban futures. These technologies are essential to effective urban planning and urban management in an increasingly challenging world, with socially disruptive changes, more complex and sophisticated urban lives and the need for resilience to deal with the possibility of adverse future environmental events and climate change. The book discusses examples of these technologies which encompass, inter alia: ‘smart urban futures’, where cities with myriad sensors are networked with communication technologies that enable the city planners to monitor well-being and be responsive to citizens' needs to allow dynamic management in real-time; PSS that encompass new hardware, develop new indicators, applications and innovative ways of facilitating public and community involvement in the management and planning of urban areas; and urban modelling that draws on theory and the richness of data from the growing range of urban sensing and communication technologies to build a better understanding of urban dynamics, trends and 'what-if' scenario investigations, and to provide better tools for planning and policymaking.
This handbook provides an exhaustive, one-stop reference and a state-of-the-art description of geographic information and its use. This new, substantially updated edition presents a complete and rigorous overview of the fundamentals, methods and applications of the multidisciplinary field of geographic information systems. Designed to be a useful and readable desk reference book, but also prepared in various electronic formats, this title allows fast yet comprehensive review and easy retrieval of essential reliable key information. The Springer Handbook of Geographic Information is divided into three parts. Part A, Basics and Computer Science, provides an overview on the fundamentals, including descriptions of databases and encoding of geographic information. It also covers the underlying mathematical and statistics methods and modeling. A new chapter exemplifies the emerging use and analysis of big data in a geographic context. Part B offers rigorous descriptions of gathering, processing and coding of geographic information in a standardized way to allow interoperable use in a variety of systems; from traditional methods such as geodesy and surveying to state-of-the-art remote sensing and photogrammetry; from cartography to geospatial web services. Discussions on geosemantic interoperability and security of open distributed geospatial information systems complete the comprehensive coverage. The final part describes a wide array of applications in science, industry and society at large, such as agriculture, defense, transportation, energy and utilities, health and human services. The part is enhanced by new chapters on smart cities and building information modeling, as well as a complete overview of the currently available open-source geographic information systems. Using standardized international terminology, in accordance with ISO/TC 211 and INSPIRE, this handbook facilitates collaboration between different disciplines and is a must have for practitioners and new comers in industry and academia.
The demand on local government to do more with less by improving operations, increasing productivity, and making better and more informed decisions increases constantly. On a departmental level Geographic Information Systems are helping meet this demand but the majority of local government organizations do not take the time to understand the GIS needs and opportunities of each and every department. This book: Discusses how towns, cities and counties and their specific departments should actually use GIS Explains the best ways to use GIS tools through many specific case studies and step by step instructions Emphasises local government needs first before offering solutions Gives readers a practical and understandable way of thinking about managing and making GIS successful This book is the guide that details best GIS applications and practices for the 34 departments in local government that can, and should, use GIS technology. It explains in details how, why, and what each department should implement, a clear and understandable explanation of departmental GIS.