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A ‘science of cities and regions’ is critical for meeting future challenges. The world is urbanising: huge cities are being created and are continuing to grow rapidly. There are many planning and development issues arising in different manifestations in countries across the globe. These developments can, in principle, be simulated through mathematical computer models which provide tools for forecasting and testing future scenarios and plans. These models can represent the functioning of cities and regions, predicting the spatial demography and the economy, the main flows such as journey to work or to services, and the mechanisms of future evolution. In this book, the main principles involved in the design of this range of models are articulated, providing an account of the current state of the art as well as future research challenges. Alan Wilson has over forty years working with urban and regional models and has contributed important discoveries. He has distilled this experience into what serves as both an introduction and a review of the research frontier. Topics covered include the Lowry model, the retail model, principles of account-based models and the methods rooted in Boltzmann-style statistical modelling and the Lotka-Volterra approach to system evolution. Applications range from urban and regional planning to wars and epidemics.

City planning -- Mathematical models. --- Computer science. --- Geography. --- Regional planning -- Mathematical models. --- City planning --- Regional planning --- Geography --- Sociology & Social History --- Social Sciences --- Earth & Environmental Sciences --- Communities - Urban Groups --- Geography-General --- Mathematical models --- Social sciences --- Mathematical models. --- Ecology. --- Applied mathematics. --- Engineering mathematics. --- Statistical physics. --- Dynamical systems. --- Regional economics. --- Spatial economics. --- Geography, general. --- Regional/Spatial Science. --- Applications of Mathematics. --- Computer Science, general. --- Statistical Physics, Dynamical Systems and Complexity. --- Spatial economics --- Economics --- Regional economics --- Regionalism --- Space in economics --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Mathematical statistics --- Engineering --- Engineering analysis --- Mathematical analysis --- Balance of nature --- Biology --- Bionomics --- Ecological processes --- Ecological science --- Ecological sciences --- Environment --- Environmental biology --- Oecology --- Environmental sciences --- Population biology --- Informatics --- Science --- Cosmography --- Earth sciences --- World history --- Statistical methods --- Ecology --- Mathematics. --- Complex Systems. --- Math --- Ecology .

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In Being Interdisciplinary, Alan Wilson draws on five decades as a leading figure in urban science to set out a systems approach to interdisciplinarity for those conducting research in this and other fields. He argues that most research is interdisciplinary at base, and that a systems perspective is particularly appropriate for collaboration because it fosters an outlook that sees beyond disciplines. There is a more subtle thread, too. A systems approach enables researchers to identify the game-changers of the past as a basis for thinking outside convention, for learning how to do something new and how to be ambitious, in a nutshell how to be creative. Ultimately, the ideas presented address how to do research.Building on this systems focus, the book first establishes the basics of interdisciplinarity. Then, by drawing on the author's experience of doing interdisciplinary research, and working from his personal toolkit, it offers general principles and a framework from which researchers can build their own interdisciplinary toolkit, with elements ranging from explorations of game-changers in research to superconcepts. In the last section, the book tackles questions of managing and organising research from individual to institutional scales.Alan Wilson deploys his wide experience - researcher in urban science, university professor and vice-chancellor, civil servant and institute director - to build the narrative. While his experience in urban science provides the illustrations, the principles apply across many research fields.

Cities and towns --- Interdisciplinary research. --- Research --- Methodology. --- IDR (Research) --- Research, Interdisciplinary --- Transdisciplinary research --- Global cities --- Municipalities --- Towns --- Urban areas --- Urban systems --- Human settlements --- Sociology, Urban

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Mathematics --- Statistical physics --- General ecology and biosociology --- Computer. Automation --- Geography --- toegepaste wiskunde --- theoretische fysica --- informatica --- ecologie --- geografie

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Mathematical statistics --- Economic geography --- urban planning --- mathematical models

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Mathematical statistics --- Economic geography --- urban planning --- mathematical models