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Models in Planning: An Introduction to the Use of Quantitative Models in Planning focuses on some of the techniques utilized for the construction of urban and regional models, with emphasis on the understanding of model structure rather than on rigorous mathematical analysis. Organized into eight chapters, this book begins by explaining the role of models in the planning process. Subsequent chapters elucidate the principles for the design and use of models, and the mathematical preliminaries involved. The different models, namely, linear, gravity, and Lowry models, are also described including their optimization. This material will be very useful for students and practicing planners with a limited numerate background. It will allow readers to follow up the extensive literature dealing with the more complex operational versions of the discussed models.
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.
This book gathers the latest advances, innovations, and applications in urban and regional planning processes and science, as presented by international researchers at the 11th International Conference on Innovation in Urban and Regional Planning (INPUT), held in Catania, Italy, on September 8-10, 2021. The overarching theme of the conference INPUT 2021 was “Integrating Nature-Based Solutions in Planning Science and Practice”, with contributes focusing on functionality of urban ecosystems toward more healthier and resilient cities, planning solutions for socio-ecological systems, technologies and hybrid models for spatial planning, geodesign, urban metabolism, computational planning, ecosystems services, green infrastructure, climate change adaptation and mitigation, rural landscapes, cultural heritage, and accessibility for urban planning. The conference brought together international scholars in the field of planning, civil engineering and architecture, ecology and social science, to build and consolidate the knowledge and evidence on NBS in urban and regional planning.
Modelling the City examines the changing role of urban models in respect to both the need to readdress measures of urban well-being and the perceived need to bring model outputs more in tune with key planning problems. The authors argue that whilst there has been substantial progress with a wide range of theoretical problems in urban modelling, modellers have not paid enough attention to the usefulness of their model outputs in terms of indicators which offer new insights into the workings of the city or region. Modelling the City offers a `new geography of performance indicators' for the public and private sector based on the principles of spatial interaction.
This comprehensive reference text is a collection of important research findings on the latest developments in network modeling for optimization of smart cities. Such models can be used from outlining the fundamental concepts of urban development to the description and optimization of physical networks, such as power, water or telecommunications. Networks help us understand city economics and various aspects of human interactions within cities with particular applications in quality of life and the flow of people and goods. Finally, the natural environment and even the climate of cities can be modeled and managed as networks.
The theory and practice of modeling cities and regions as complex, self-organizing systems, presenting widely used cellular automata-based models, theoretical discussions, and applications. Cities and regions grow (or occasionally decline), and continuously transform themselves as they do so. This book describes the theory and practice of modeling the spatial dynamics of urban growth and transformation. As cities are complex, adaptive, self-organizing systems, the most appropriate modeling framework is one based on the theory of self-organizing systems—an approach already used in such fields as physics and ecology. The book presents a series of models, most of them developed using cellular automata (CA), which are inherently spatial and computationally efficient. It also provides discussions of the theoretical, methodological, and philosophical issues that arise from the models. A case study illustrates the use of these models in urban and regional planning. Finally, the book presents a new, dynamic theory of urban spatial structure that emerges from the models and their applications. The models are primarily land use models, but the more advanced ones also show the dynamics of population and economic activities, and are integrated with models in other domains such as economics, demography, and transportation. The result is a rich and realistic representation of the spatial dynamics of a variety of urban phenomena. The book is unique in its coverage of both the general issues associated with complex self-organizing systems and the specifics of designing and implementing models of such systems.
This work is concerned with the understanding of the structure and behaviour of urban and regional systems in developing countries. Professor Chadwick considers not only how such systems change, but also how they might be changed by some form of manipulation. Both these purposes necessarily involve the activity of modelling the systems concerned. This study has been enriched by the author's own experience in Bahrain, Hong Kong, Korea and Saudi Arabia.
First published in 1970, this groundbreaking investigation into Entropy in Urban and Regional Modelling provides an extensive and detailed insight into the entropy maximising method in the development of a whole class of urban and regional models. The book has its origins in work being carried out by the author in 1966, when he realised that the well-known gravity model could be derived on the basis of an analogy with statistical, rather than Newtonian, mechanics. Subsequent investigation demonstrated that the entropy maximising method stems from an even higher level of generality, and the beginning of the book is devoted to an account of its importance and use as a general modelling tool. This reissue will be welcomed by a range of students and professionals from fields as diverse as urban and regional studies, economics, geography, planning, civil engineering, mathematics and statistics.
"This book covers a multitude of newly developed hardware and software technology advancements in urban and spatial planning and architecture, drawing on the most current research and studies of field practitioners who offer solutions and recommendations for further growth, specifically in urban and spatial developments"--
Urban and regional planning is a spatial design practice that brings limitations to the intervention in natural areas to ensure a balance between population growth, housing, and employment in residential areas. It includes spatial design that enables living creatures to live while planning the interventions to ensure suitability to ecology, geology, climate, and land structure since intervention in nature should be balanced. In this context, the profession generally includes regional, spatial and urban planning, urban transformation that involves the urban decline areas in the city, urban renewal and protection, urban transportation, and urban management. Therefore, it is believed that this book will be useful for those who work in this area on a practical or academic basis and follow the innovations in the profession.