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Modeling Urban Mobility at a Metropolitan Scale: a Comparison of Paris Transport Models

Authors: Trouve, Mallory; Leurent, Fabien;

Modeling Urban Mobility at a Metropolitan Scale: a Comparison of Paris Transport Models

Abstract

Modeling transportation systems is strategic to evaluate urban development projects by providing traffic estimates and social, economic or environmental impacts. This paper puts forward an analysis grid highlighting Travel Demand Models (TDMs) characteristics and specificities to spell out the modeled mobility aspects and their operational capacities. This grid is then applied on 5 operational models used in the Paris region. In order to build this analytical framework, the standard model structure based on the supply, the demand, the mobility uses and their impacts is assessed. The proposed grid is articulated around the spatio-temporal frame, the demand, the transportation modes and services supply, and the mobility uses representations. Travel demand representation is treated in-depth by focusing on mobility decisions modeling. A final analytic table comparing Paris region models highlights the different mobility aspects revealed by each and discusses their specificities and their link to the TDMs’ operational uses.

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Keywords

Transport Modeling & Simulation; Socio-Economics and Foresights: Transport Project & Policy Evaluation Tools; Urban Mobility; Metropolitan Transportation Models, Travel Demand Forecast; Comparison Framework; Paris Region, Transport Modeling & Simulation; Socio-Economics and Foresights: Transport Project & Policy Evaluation Tools; Urban Mobility; Metropolitan Transportation Models, Travel Demand Forecast; Comparison Framework; Paris Region

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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