Long-distance and daily travel demand: integration of various travel markets and modelling approaches
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Abstract Most travel demand models simplify the representation of trips from/to external zones. Despite the higher frequency of internal daily travel, long-distance travel cannot be neglected due to its high contribution to the travelled distance. In this paper we integrate two different models that represent those two travel segments. MITO is an agent-based model for travel demand implemented in the metropolitan area of Munich. DEMO is a macroscopic model that generates travel demand in Germany. DEMO is used to represent the external, long-distance travel from, to or through the MITO study area. DEMO demand is disaggregated and is jointly assigned with MITO trips using the transport model MATSim. The integration significantly improves the validation of the model against traffic counts and facilitates the simulation capabilities when the scenarios affect major roads.
[1] Abdul Rawoof Pinjari,et al. Analysis of long-distance vacation travel demand in the United States: a multiple discrete–continuous choice framework , 2011 .
[2] Jeppe Rich,et al. A long-distance travel demand model for Europe , 2012 .
[3] Rebekah Anderson,et al. Ohio Long-Distance Travel Model , 2007 .
[4] Rolf Moeckel,et al. The usage of location based big data and trip planning services for the estimation of a long-distance travel demand model. Predicting the impacts of a new high speed rail corridor , 2018 .