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oapen-20.500.12657-482322021-07-21T04:05:51Z Urban Informatics Shi, Wenzhong Goodchild, Michael F. Batty, Michael Kwan, Mei-Po Zhang, Anshu Human Geography Information Systems and Communication Service Computer Applications Geography, general Urban Geography and Urbanism Database Management System Geographical Information System Urban informatics Urban science GIS Urban computing Sensing Big data Smart cities Spatial data infrastructure Big data analytics Data-driven geography Open access Computer networking & communications Information technology: general issues Geography bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography::RGC Human geography bic Book Industry Communication::U Computing & information technology::UT Computer networking & communications bic Book Industry Communication::U Computing & information technology::UB Information technology: general issues bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity. 2021-04-20T12:47:57Z 2021-04-20T12:47:57Z 2021 book ONIX_20210420_9789811589836_25 9789811589836 https://library.oapen.org/handle/20.500.12657/48232 eng The Urban Book Series application/pdf Attribution 4.0 International 9789811589836.pdf https://www.springer.com/9789811589836 Springer Nature Springer Singapore 10.1007/978-981-15-8983-6 10.1007/978-981-15-8983-6 6c6992af-b843-4f46-859c-f6e9998e40d5 e5573e5d-a326-49af-a5eb-222d7e617f39 9789811589836 Springer Singapore 941 [grantnumber unknown] Hong Kong Polytechnic University Hong Kong PolyU open access
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This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.
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