A Long-Distance Travel Demand Model for Europe

In Europe, approximately 50% of all passenger kilometres come from trips beyond 100 km according to matrices developed in the TRANSTOOLS project. This accounts for an even larger share of CO2 emissions due to a higher modal share of air transport. Therefore long-distance trips are increasingly relev...

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Main Authors: Jeppe Rich, Stefan L. Mabit
Format: Article
Language:English
Published: TU Delft Open 2012-01-01
Series:European Journal of Transport and Infrastructure Research
Online Access:https://journals.open.tudelft.nl/ejtir/article/view/2946
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spelling doaj-0de626140b6a4d668f7a432d83882c1a2021-07-26T08:43:24ZengTU Delft OpenEuropean Journal of Transport and Infrastructure Research1567-71412012-01-0112110.18757/ejtir.2012.12.1.29462563A Long-Distance Travel Demand Model for EuropeJeppe Rich0Stefan L. Mabit1Technical University of DenmarkTechnical University of DenmarkIn Europe, approximately 50% of all passenger kilometres come from trips beyond 100 km according to matrices developed in the TRANSTOOLS project. This accounts for an even larger share of CO2 emissions due to a higher modal share of air transport. Therefore long-distance trips are increasingly relevant from a political and environmental point of view. The paper presents the first tour-based long-distance travel demand model for passenger trips in and between 42 European countries. The model is part of a new European transport model developed for the European Commission, the TRANSTOOLS II model, and will serve as an important tool for transport policy analysis at a European level. The model is formulated as a nested logit model and estimated based on travel diary data with segmentation into business, private, and holiday trips. We analyse the estimation results and present elasticities for a number of different level-ofservice variables. The results suggest that the perception of both travel time and cost varies with journey length in a non-linear way. For car drivers and car passengers, elasticities increase with the length of the journey, whereas the opposite is true for rail, bus, and air passengers – a fact that reflects a change in substitutability. Moreover, elasticities differ significantly by trip purpose with private trips having the highest and holiday trips the lowest elasticities.https://journals.open.tudelft.nl/ejtir/article/view/2946
collection DOAJ
language English
format Article
sources DOAJ
author Jeppe Rich
Stefan L. Mabit
spellingShingle Jeppe Rich
Stefan L. Mabit
A Long-Distance Travel Demand Model for Europe
European Journal of Transport and Infrastructure Research
author_facet Jeppe Rich
Stefan L. Mabit
author_sort Jeppe Rich
title A Long-Distance Travel Demand Model for Europe
title_short A Long-Distance Travel Demand Model for Europe
title_full A Long-Distance Travel Demand Model for Europe
title_fullStr A Long-Distance Travel Demand Model for Europe
title_full_unstemmed A Long-Distance Travel Demand Model for Europe
title_sort long-distance travel demand model for europe
publisher TU Delft Open
series European Journal of Transport and Infrastructure Research
issn 1567-7141
publishDate 2012-01-01
description In Europe, approximately 50% of all passenger kilometres come from trips beyond 100 km according to matrices developed in the TRANSTOOLS project. This accounts for an even larger share of CO2 emissions due to a higher modal share of air transport. Therefore long-distance trips are increasingly relevant from a political and environmental point of view. The paper presents the first tour-based long-distance travel demand model for passenger trips in and between 42 European countries. The model is part of a new European transport model developed for the European Commission, the TRANSTOOLS II model, and will serve as an important tool for transport policy analysis at a European level. The model is formulated as a nested logit model and estimated based on travel diary data with segmentation into business, private, and holiday trips. We analyse the estimation results and present elasticities for a number of different level-ofservice variables. The results suggest that the perception of both travel time and cost varies with journey length in a non-linear way. For car drivers and car passengers, elasticities increase with the length of the journey, whereas the opposite is true for rail, bus, and air passengers – a fact that reflects a change in substitutability. Moreover, elasticities differ significantly by trip purpose with private trips having the highest and holiday trips the lowest elasticities.
url https://journals.open.tudelft.nl/ejtir/article/view/2946
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