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Determination of long-distance travel demand: How to merge distinct data sources into a meaningful and consistent picture?

Schulz, Angelika and Kuhnimhof, Tobias and Magdolen, Miriam and Chlond, Bastian and Köhler, Katja (2020) Determination of long-distance travel demand: How to merge distinct data sources into a meaningful and consistent picture? ISCTSC 2020 – 12th International Conference on Transport Survey Methods, 31. Mai - 05. Juni 2020, Porto Novo, Portugal.

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Abstract

Although for most travel segments data are available, there is no up-to-date and consistent overall picture of long-distance travel demand, neither in terms of total transport volumes, nor in terms of socio-demographic characteristics of the corresponding population and the driving forces. Analyses in this respect, however, require a meaningful data framework. The challenge is to gather and prepare available data according to a suitable definition of 'long-distance travel' and to close data gaps based on complementary data collection or any other empirically founded assumptions. The objective of this paper is fourfold: First, the challenge of data merging is described against the background of diverging definitions of long-distance travel. Secondly, the adopted approach of 'data fusion' is presented. Thirdly, the current picture of long-distance travel in Germany is outlined. Finally, methodological issues and challenges of data collection and data merging focusing on long-distance travel are discussed.

Item URL in elib:https://elib.dlr.de/133251/
Document Type:Conference or Workshop Item (Speech)
Title:Determination of long-distance travel demand: 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
Magdolen, Miriammiriam.magdolen (at) kit.eduUNSPECIFIED
Chlond, Bastianbastian.chlond (at) kit.eduUNSPECIFIED
Köhler, KatjaKatja.Koehler (at) dlr.deUNSPECIFIED
Date:2020
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Accepted
Keywords:long-distance travel, data consistency, data fusion, data merging
Event Title:ISCTSC 2020 – 12th International Conference on Transport Survey Methods
Event Location:Porto Novo, Portugal
Event Type:international Conference
Event Dates:31. Mai - 05. Juni 2020
Organizer:International Steering Committee for Travel Survey Conferences
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 14:29
Last Modified:16 Jan 2020 14:59

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