Identifying and understanding long-distance travel demand by combining official transport statistics and survey data

Schulz, Angelika and Magdolen, Miriam and Chlond, Bastian and Kuhnimhof, Tobias and Köhler, Katja (2024) Identifying and understanding long-distance travel demand by combining official transport statistics and survey data. In: 12th International Conference on Transport Survey Methods (76), pp. 458-469. Elsevier ScienceDirect. ISCTSC 2022 – 12th International Conference on Transport Survey Methods, 2022-03-20 - 2022-03-25, Vimeiro, Portugal. doi: 10.1016/j.trpro.2023.12.068. ISSN 2352-1457.

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Official URL: https://www.sciencedirect.com/journal/transportation-research-procedia

Abstract

While much is known about everyday travel of the German population, long-distance travel is still underreported. The main data source, the national travel survey "Mobility in Germany (MiD)", cannot simply be used to describe the demand: complex extrapolations and complementary data are necessary to obtain a consistent picture. The presented approach of 'data fusion' integrates different data sources to provide the overall long-distance travel demand. The result reveals that almost half of the total transport performance of the residential population in Germany (46 % of passenger kilometers) is accounted for by trips of at least 100 km (one-way distance).

Item URL in elib:

https://elib.dlr.de/133251/

Document Type:

Conference or Workshop Item (Speech)

Title:

Identifying and understanding long-distance travel demand by combining official transport statistics and survey data

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Schulz, Angelika	Angelika.Schulz (at) dlr.de	https://orcid.org/0000-0002-8881-592X	UNSPECIFIED
Magdolen, Miriam	miriam.magdolen (at) kit.edu	UNSPECIFIED	UNSPECIFIED
Chlond, Bastian	bastian.chlond (at) kit.edu	UNSPECIFIED	UNSPECIFIED
Kuhnimhof, Tobias	Kuhnimhof (at) isb.rwth-aachen.de	https://orcid.org/0000-0003-3028-3040	UNSPECIFIED
Köhler, Katja	Katja.Koehler (at) dlr.de	UNSPECIFIED	UNSPECIFIED

Date:

January 2024

Journal or Publication Title:

12th International Conference on Transport Survey Methods

Refereed publication:

Yes

Open Access:

Yes

Gold Open Access:

In SCOPUS:

Yes

In ISI Web of Science:

DOI:

10.1016/j.trpro.2023.12.068

Page Range:

pp. 458-469

Editors:

Editors	Email	Editor's ORCID iD	ORCID Put Code
Bonnel, Patrick	patrick.bonnel (at) entpe.fr	UNSPECIFIED	UNSPECIFIED
Morency, Catherine	cmorency (at) polymtl.ca	UNSPECIFIED	UNSPECIFIED
de Abreu e Silva, João	jabreu (at) tecnico.ulisboa.pt	UNSPECIFIED	UNSPECIFIED
Pereira, Francisco Camara	camara (at) dtu.dk	UNSPECIFIED	UNSPECIFIED

Publisher:

Elsevier ScienceDirect

Series Name:

Transportation Research Procedia

ISSN:

2352-1457

Status:

Published

Keywords:

long-distance travel, data fusion, data consistency, data merging

Event Title:

ISCTSC 2022 – 12th International Conference on Transport Survey Methods

Event Location:

Vimeiro, Portugal

Event Type:

international Conference

Event Start Date:

20 March 2022

Event End Date:

25 March 2022

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 - DATAMOST - Daten & Modelle zur Mobilitätstransform (old)

Location:

Berlin-Adlershof

Institutes and Institutions:

Institute of Transport Research > Spaces in Mobility and Transport Systems
Institute of Transport Research > Means of Transport

Deposited By:

Schulz, Angelika

Deposited On:

14 Jan 2020 14:29

Last Modified:

10 Feb 2025 13:37

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