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Residential Location Choice
Models and Applications
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Gewicht:
522 g
Format:
243x160x19 mm
Beschreibung:
Francesca Pagliara is Assistant Professor at the Department of Transportation Engineering of the University of Naples Federico IIJohn Preston is Professor at the Transportation Research Group, School of Civil Engineering and the Environment, University of SouthamptonDavid Simmonds is a Director of David Simmonds Consultancy Ltd, Cambridge, England
This book presents approaches for modelling residential locations in the course of developing land-use and transport models, illustrating the complex interdependencies at play in residential choice behaviour. Reviews state-of-the art modelling tools.
State-of-the-art models in residential location choice
The State-of-the-Art in Building Residential Location Models.- Stated Preference Examination of Factors Influencing Residential Attraction.- DRAM Residential Location and Land Use Model: 40 Years of Development and Application.- The DELTA Residential Location Model.- The MUSSA II Land Use Auction Equilibrium Model.- The Impact of Transport Policy on Residential Location.- The Influence of Accessibility on Residential Location.- Modeling Residential Location in UrbanSim.- Household Behaviour in the Oregon2 Model.- The Residential Choice Module in the Albatross and Ramblas Model Systems.- A Microsimulation Model of Household Location.- Conclusions.
The effective planning of residential location choices is one of the great challenges of contemporary societies and requires forecasting capabilities and the consideration of complex interdependencies which can only be handled by complex computer models. This book presents a range of approaches used to model residential locations within the context of developing land-use and transport models. These approaches illustrate the range of choices that modellers have to make in order to represent residential choice behaviour. The models presented in this book represent the state-of-the-art and are valuable both as key building blocks for general urban models, and as representative examples of complexity science.