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Viewing urban dynamics in the context of complexity theory; models and examples in scales from the local to the regional. Batty begins with models based on cellular automata (CA), simulating urban dynamics through the local actions of automata. He then introduces agent-based models (ABM), in which agents are mobile and move between locations. These models relate to many scales, from the scale of the street to patterns and structure at the scale of the urban region. Finally, Batty develops applications of all these models to specific urban situations, discussing concepts of criticality, threshold, surprise, novelty, and phase transition in the context of spatial developments.
City planning --- Cities and towns --- Civic planning --- Land use, Urban --- Model cities --- Redevelopment, Urban --- Slum clearance --- Town planning --- Urban design --- Urban development --- Urban planning --- Land use --- Planning --- Art, Municipal --- Civic improvement --- Regional planning --- Urban policy --- Urban renewal --- Computer simulation. --- Mathematical models. --- Government policy --- Management --- Simulation models. --- Ruimtelijke patronen --- Ruimtelijke modellen --- Computer simulation --- Mathematical models --- Simulation models --- Urbanisme --- Simulation par ordinateur --- Modèles mathématiques --- 514 --- 711.4 --- Fractale structuren --- Fractals --- Geometrie --- Meetkunde --- Stedenbouw (theorie) --- Stedenbouw --- City planning - Computer simulation --- City planning - Mathematical models --- City planning - Simulation models
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We cannot predict future cities, but we can invent them. Cities are largely unpredictable because they are complex systems that are more like organisms than machines. Neither the laws of economics nor the laws of mechanics apply; cities are the product of countless individual and collective decisions that do not conform to any grand plan. They are the product of our inventions; they evolve. In Inventing Future Cities, Michael Batty explores what we need to understand about cities in order to invent their future. Batty outlines certain themes--principles--that apply to all cities. He investigates not the invention of artifacts but inventive processes. Today form is becoming ever more divorced from function; information networks now shape the traditional functions of cities as places of exchange and innovation. By the end of this century, most of the world's population will live in cities, large or small, sometimes contiguous, and always connected; in an urbanized world, it will be increasingly difficult to define a city by its physical boundaries. Batty discusses the coming great transition from a world with few cities to a world of all cities; argues that future cities will be defined as clusters in a hierarchy; describes the future "high-frequency," real-time streaming city; considers urban sprawl and urban renewal; and maps the waves of technological change, which grow ever more intense and lead to continuous innovation--an unending process of creative destruction out of which future cities will emerge.
Sociology of environment --- Architecture and society. --- Space (Architecture). --- Stedenbouw ; denken over ; 20ste eeuw --- Stedenbouw ; socio-economische aspecten --- 711.4(A) --- Stedenbouw. Ruimtelijke ordening ; denken over de stedenbouw --- Typologie --- Anthropologie --- Modèle en urbanisme --- Sociologie urbaine --- Habitat --- Espace --- Space (Architecture) --- Espace (Architecture) --- Architecture et société --- 316.334.5 --- 316.334.5 Sociologie van het wonen, van de woonomgeving. Sociale ecologie. --- Sociologie van het wonen, van de woonomgeving. Sociale ecologie. --- 711.4 --- 711 --- Stedenbouw --- Ruimtelijke ordening --- 711.16 --- 711.6 --- Cities and towns --- City planning --- Sustainable development --- Technological innovations --- Growth --- Economic aspects --- 711.427 --- 711.427 Planologie: ideaalsteden; legendarische steden --- Planologie: ideaalsteden; legendarische steden --- Sociologie van het wonen, van de woonomgeving. Sociale ecologie --- Cities and towns - Growth --- City planning - Technological innovations --- Technological innovations - Economic aspects --- Villes --- Urbanisme --- Développement durable --- Innovations --- Croissance --- Aspect économique --- Technological innovations. --- Sustainable development. --- City planning. --- Croissance urbaine. --- Design urbain --- Développement durable. --- Innovation --- Growth. --- Economic aspects. --- Innovation. --- Aspect économique.
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A proposal for a new way to understand cities and their design not as artifacts but as systems composed of flows and networks.In The New Science of Cities, Michael Batty suggests that to understand cities we must view them not simply as places in space but as systems of networks and flows. To understand space, he argues, we must understand flows, and to understand flows, we must understand networks--the relations between objects that compose the system of the city. Drawing on the complexity sciences, social physics, urban economics, transportation theory, regional science, and urban geography, and building on his own previous work, Batty introduces theories and methods that reveal the deep structure of how cities function.Batty presents the foundations of a new science of cities, defining flows and their networks and introducing tools that can be applied to understanding different aspects of city structure. He examines the size of cities, their internal order, the transport routes that define them, and the locations that fix these networks. He introduces methods of simulation that range from simple stochastic models to bottom-up evolutionary models to aggregate land-use transportation models. Then, using largely the same tools, he presents design and decision-making models that predict interactions and flows in future cities. These networks emphasize a notion with relevance for future research and planning: that design of cities is collective action.
Cities and towns Growth. --- City planning. --- Urbanisme --- Cities and towns --- City planning --- Civic planning --- Land use, Urban --- Model cities --- Redevelopment, Urban --- Slum clearance --- Town planning --- Urban design --- Urban development --- Urban planning --- Land use --- Planning --- Art, Municipal --- Civic improvement --- Regional planning --- Urban policy --- Urban renewal --- Growth, Urban --- Sprawl, Urban --- Urban growth --- Urban sprawl --- Migration, Internal --- Population --- Vital statistics --- Growth. --- Government policy --- Management --- URBANISM/General
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Computer graphics. --- Microcomputers --- Infographie --- Micro-ordinateurs --- Programming. --- Programmation
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Cities and towns --- Social change --- Sustainable development --- Twenty-first century --- Urban ecology (Sociology) --- Villes --- Changement social --- Développement durable --- Vingt et unième siècle --- Ecologie urbaine --- Forecasting --- Forecasts --- Prévision --- Prévisions --- Urban economics. --- Sustainable development. --- Social change. --- Urban ecology. --- 911.3:30 --- 911.3:33 --- Urban ecology --- Urban environment --- Social ecology --- Sociology, Urban --- Change, Social --- Cultural change --- Cultural transformation --- Societal change --- Socio-cultural change --- Social history --- Social evolution --- Development, Sustainable --- Ecologically sustainable development --- Economic development, Sustainable --- Economic sustainability --- ESD (Ecologically sustainable development) --- Smart growth --- Sustainable economic development --- Economic development --- City economics --- Economics of cities --- Economics --- Forecasting. --- Social geography --- Economic geography --- Environmental aspects --- Economic aspects --- Geografie --- Sociale geografie --- Bewoning en leefgemeenschap. --- Urban ecology (Sociology). --- Développement durable --- Vingt et unième siècle --- Prévision --- Prévisions --- Urban economics
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This is the first book focused on City Information Modelling (CIM) that puts together a collection of recent studies related to concepts and trends in CIM, application and digitization processes/methods, and frameworks and practices of CIM. This emerging topic is important to various research and practice under sectors of the built environment, civil engineering, urban planning, urban design, and urban management. CIM aligns well with smart cities, data-driven urban analytics and optimization, information-based city planning, and future development paradigms. City Information Modelling provides global case study examples in three parts. At first, the contributors offer several examples of ‘Concepts and Trends’, where CIM is explored further in urban management, urban sustainability, and big data studies. In the second part, the book offers various examples of application and digitization processes or methods related to urban planning and design practices. Inthe third part, the contributors delve into several examples of CIM frameworks and practices critical to contemporary research, planning and design paradigms, and future practices. This collection is a niche resource for various stakeholders, particularly urban scientists, urban analytics, urban practitioners, and researchers. It will also be a valuable collection for those who work with information-based models, urban optimization models, and big data analytics, particularly from policy and practice perspectives. The findings of this collection help direct future research in CIM and suggest opportunities for big-data urban research, integrated urban models, and holistic frameworks in sustainable cities, smart cities, and future cities.
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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.
Human geography --- Computer networking & communications --- Information technology: general issues --- Geography --- 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
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City planning --- Urban economics --- Urbanisme --- Economie urbaine --- Mathematical models --- Modèles mathématiques
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