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Explorations in Urban and Regional Dynamics : A case study in complexity science

By: (Author) Alan Wilson , (Author) Joel Dearden

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Ksh 7,200.00

Format: Hardback or Cased Book

ISBN-10: 1138019143

ISBN-13: 9781138019140

Series: Routledge Advances in Regional Economics, Science and Policy

Publisher: Taylor & Francis Ltd

Imprint: Routledge

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Apr 2nd, 2015

Print length: 140 Pages

Weight: 317 grams

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The task of modelling the evolution of cities – the dynamics - is one of the major challenges of the social sciences. This book presents mathematical and computer models of urban and regional dynamics and shows how advances in computer visualisation provide new insights. Models of nonlinear systems in general have three characteristics: multiple equilibria, ‘path dependence’ over time and phase transitions – that is abrupt change at critical parameter values. These phenomena all exhibit themselves in reality and it is an ongoing task to match model-based analysis with real phenomena.

The task of modelling the evolution of cities – the dynamics – is one of the major challenges of the social sciences. This book presents mathematical and computer models of urban and regional dynamics and shows how advances in computer visualisation provide new insights. Models of non-linear systems in general have three characteristics: multiple equilibria, ‘path dependence’ over time and phase transitions – that is, abrupt change at critical parameter values. These phenomena all exhibit themselves in reality, and it is an ongoing task to match model-based analysis with real phenomena.

There are three key features of cities and regions to be represented in models: activities at a location – residence, health, education, work and shopping; flows between locations – spatial interaction; and the structures that carry these activities – buildings, transport and communications networks. Spatial interaction and many elements of activities’ location can be modelled by statistical averaging procedures, which are related to Boltzmann’s methods in statistical mechanics. This is while the evolution of structure can be represented in equations that connect to the Lotka-Volterra equations in ecology.

Within this broad framework, alternative approaches can be brought to bear. This book uses entropy-maximising versions of spatial interaction models. The authors explore the dynamics in more detail, using advanced visualisation techniques. These ideas have wide potential uses, and the book illustrates this with applications in history and archaeology.


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