Modeling Urban Dynamics using LUTI Models: Calibration Methodology for the Tranus-Based Model of the Grenoble Urban Region

Fausto Lo Feudo 1 Brian Morton 2 Thomas Capelle 1 Emmanuel Prados 1
1 STEEP - Sustainability transition, environment, economy and local policy
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann
2 The University of North Carolina at Chapel Hill
Abstract : This paper describes the calibration process of a land use and transport integrated (LUTI) Tranus based model of the urban agglomeration of Grenoble (France). In particular, for several parameters related to floor-space, we applied a semi-automatic process for calibration. We begin with an overview of the model's structure and next we define data and calibration methodology of the land use part. Further, we describe and place in the public domain the algorithms and methodologies that we developed. We are particularly interested in demand functions for housing and " substitution " functions that capture the trade-offs that households make between housing type and price. We created tools based on non-linear optimization and curve fitting that make calibration easier, more robust, faster than typical manual approach and transferable to other study areas. Finally, we discuss the trade-off between over-fitting and minimizing error in predictions of the observed data on housing consumption.
Keywords : LUTI Tranus Calibration Housing modelling Simulation
Type de document :
Communication dans un congrès
HKSTS 2017 - 22nd International Conference of Hong Kong Society for Transportation Studies, Dec 2017, Hong Kong, China
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https://hal.inria.fr/hal-01666452
Contributeur : Peter Sturm <>
Soumis le : lundi 18 décembre 2017 - 13:38:49
Dernière modification le : mercredi 11 avril 2018 - 01:58:27

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Fausto Lo Feudo, Brian Morton, Thomas Capelle, Emmanuel Prados. Modeling Urban Dynamics using LUTI Models: Calibration Methodology for the Tranus-Based Model of the Grenoble Urban Region. HKSTS 2017 - 22nd International Conference of Hong Kong Society for Transportation Studies, Dec 2017, Hong Kong, China. 〈hal-01666452〉

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