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Current long-distance travel in Germany: How to merge distinct data sources into a meaningful and consistent picture?

Schulz, Angelika and Kuhnimhof, Tobias and Köhler, Katja and Magdolen, Miriam and Chlond, Bastian (2019) Current long-distance travel in Germany: How to merge distinct data sources into a meaningful and consistent picture? RGS-IBG Annual International Conference 2019, 28.-30. Aug. 2019, London, Großbritannien.

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Abstract

In contrast to everyday travel, long-distance passenger travel continues to increase for the German population. Although data are available for some travel segments, there is no up-to-date and consistent overall picture of this specific demand, neither in terms of total transport volumes, nor in terms of socio-demographic characteristics of the corresponding population and the driving forces. A dedicated survey – already carried out in the early 2000s (INVERMO 2002/2003) – revealed that long-distance travel was extremely unevenly distributed among the population: only a small proportion was responsible for the majority of travel volumes. The question is whether this fact has already changed in view of current societal processes, such as an increasing level of education, the conversion to a knowledge-based society, long-term socialisation in terms of travelling to distant destinations, the emergence of multi-local lifestyles or wide-ranging social networks, all of them likely to result in changing travel volumes and a shift between different groups of travellers. Analyses in this respect, however, require a meaningful data framework. An ongoing project on behalf of the German Federal Environment Agency aims to compile relevant data sources (i.e. German National Travel Surveys, tourism surveys, official transport statistics) and to amalgamate them within a 'fusion model'. The challenge is to prepare available data according to a suitable definition of 'long-distance travel' and to close data gaps based on empirically founded assumptions. Results from a survey carried out during the project will complement the data framework providing missing information i.e. on the use of particular transport modes typical for long-distance travel. The objective of the paper is threefold: First, the challenges of data harmonisation are described against the background of diverging definitions of long-distance travel. Second, the approach of 'data fusion' is presented. Finally, the current picture of long-distance travel in Germany is presented.

Item URL in elib:https://elib.dlr.de/133252/
Document Type:Conference or Workshop Item (Speech)
Title:Current long-distance travel in Germany: How to merge distinct data sources into a meaningful and consistent picture?
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schulz, AngelikaAngelika.Schulz (at) dlr.dehttps://orcid.org/0000-0002-8881-592X
Kuhnimhof, TobiasKuhnimhof (at) isb.rwth-aachen.dehttps://orcid.org/0000-0003-3028-3040
Köhler, KatjaKatja.Koehler (at) dlr.deUNSPECIFIED
Magdolen, Miriammiriam.magdolen (at) kit.eduUNSPECIFIED
Chlond, Bastianbastian.chlond (at) kit.eduUNSPECIFIED
Date:August 2019
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:long-distance travel, data consistency, data fusion, data merging
Event Title:RGS-IBG Annual International Conference 2019
Event Location:London, Großbritannien
Event Type:international Conference
Event Dates:28.-30. Aug. 2019
Organizer:Royal Geographical Society
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - Transport und Klima
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transport Research > Passenger Transport
Deposited By: Schulz, Angelika
Deposited On:14 Jan 2020 14:30
Last Modified:14 Jan 2020 14:30

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