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Thesis

Stochastic agent-based modelling for reality

Subtitle:
Dynamic discrete choice analysis with interaction
Abstract:

This D.Phil. thesis develops a new agent-based simulation model to improve the results of analysis, which solely uses discrete choice modelling, as well as to analyse the effects of a road user charging scheme for the Upper Derwent Valley in the Peak District National Park. The advantages of discrete choice analysis are well known. However, results with these conventional conventional approaches, which conduct analysis solely with discrete choice models, can be biased if interaction and learn...

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Institution:
University of Oxford
Oxford college:
St Catherine's College
Department:
Social Sciences Division - Centre for the Environment - Transport Studies Unit

Contributors

Role:
Supervisor
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Funding agency for:
Takeshi Takama
Publication date:
2005
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
Oxford University, UK
URN:
uuid:07a643ed-c98a-4e66-936b-e8b558dbc1e3
Local pid:
ora:2905

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