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Models of Urban Structure

Models of Urban Structure
Author: David C. Sweet
Publisher:
Total Pages: 268
Release: 1972
Genre: Political Science
ISBN:

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Models in Planning

Models in Planning
Author: C. Lee
Publisher: Elsevier
Total Pages: 155
Release: 2016-06-06
Genre: Political Science
ISBN: 1483137376

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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.


Urban Informatics

Urban Informatics
Author: Wenzhong Shi
Publisher: Springer Nature
Total Pages: 941
Release: 2021-04-06
Genre: Social Science
ISBN: 9811589836

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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.


Innovation in Urban and Regional Planning

Innovation in Urban and Regional Planning
Author: Daniele La Rosa
Publisher: Springer Nature
Total Pages: 639
Release: 2021-05-10
Genre: Science
ISBN: 3030688240

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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

Modelling the City
Author: C. S. Bertuglia
Publisher: Routledge
Total Pages: 226
Release: 2012-08-21
Genre: Architecture
ISBN: 1134857535

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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.


Urban Models

Urban Models
Author: Janet Rothenberg Pack
Publisher:
Total Pages: 428
Release: 1978
Genre: Political Science
ISBN:

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Entropy in Urban and Regional Modelling (Routledge Revivals)

Entropy in Urban and Regional Modelling (Routledge Revivals)
Author: Alan Wilson
Publisher: Routledge
Total Pages: 175
Release: 2013-01-11
Genre: Mathematics
ISBN: 1136498524

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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.