ISBN:
9781138019140
,
1138019143
Sprache:
Englisch
Seiten:
x, 128 Seiten
,
Diagramme, Illustrationen
,
24 cm
Serie:
Routledge advances in regional economics, science and policy 7
Serie:
Routledge advances in regional economics, science and policy
DDC:
307.7640113
Schlagwort(e):
Stadtökonomik
;
Regionalökonomik
;
Stadtwachstum
;
Regionales Wachstum
;
Simulation
;
Mathematik
;
Cities and towns Growth
;
Computer simulation
;
Cities and towns Growth
;
Mathematical models
;
Cities and towns Growth
;
Mathematical models
;
Cities and towns Growth
;
Computer simulation
;
Cities and towns Mathematical models
;
Cities and towns Computer simulation
;
Volterra-Gleichungen
Kurzfassung:
"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. 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--uildings, 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 whilst 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 visualization techniques. These ideas have wide potential uses and the book illustrates this with applications in history and archaeology"--
Kurzfassung:
"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. 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--uildings, 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 whilst 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 visualization techniques. These ideas have wide potential uses and the book illustrates this with applications in history and archaeology"--
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