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Schulz, Angelika und Magdolen, Miriam und Chlond, Bastian und Kuhnimhof, Tobias und Köhler, Katja (2024) Identifying and understanding long-distance travel demand by combining official transport statistics and survey data. 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 2352-1465.
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Offizielle URL: https://www.sciencedirect.com/journal/transportation-research-procedia
Kurzfassung
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).
| elib-URL des Eintrags: | https://elib.dlr.de/133251/ | ||||||||||||||||||||||||
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| Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||||||
| Titel: | Identifying and understanding long-distance travel demand by combining official transport statistics and survey data | ||||||||||||||||||||||||
| Autoren: |
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| Datum: | Januar 2024 | ||||||||||||||||||||||||
| Referierte Publikation: | Ja | ||||||||||||||||||||||||
| Open Access: | Ja | ||||||||||||||||||||||||
| Gold Open Access: | Nein | ||||||||||||||||||||||||
| In SCOPUS: | Nein | ||||||||||||||||||||||||
| In ISI Web of Science: | Nein | ||||||||||||||||||||||||
| DOI: | 10.1016/j.trpro.2023.12.068 | ||||||||||||||||||||||||
| Seitenbereich: | Seiten 458-469 | ||||||||||||||||||||||||
| Herausgeber: |
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| Verlag: | Elsevier ScienceDirect | ||||||||||||||||||||||||
| Name der Reihe: | Transportation Research Procedia | ||||||||||||||||||||||||
| ISSN: | 2352-1465 | ||||||||||||||||||||||||
| Status: | veröffentlicht | ||||||||||||||||||||||||
| Stichwörter: | long-distance travel, data fusion, data consistency, data merging | ||||||||||||||||||||||||
| Veranstaltungstitel: | ISCTSC 2022 – 12th International Conference on Transport Survey Methods | ||||||||||||||||||||||||
| Veranstaltungsort: | Vimeiro, Portugal | ||||||||||||||||||||||||
| Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||
| Veranstaltungsbeginn: | 20 März 2022 | ||||||||||||||||||||||||
| Veranstaltungsende: | 25 März 2022 | ||||||||||||||||||||||||
| Veranstalter : | International Steering Committee for Travel Survey Conferences | ||||||||||||||||||||||||
| HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||
| HGF - Programm: | Verkehr | ||||||||||||||||||||||||
| HGF - Programmthema: | Verkehrssystem | ||||||||||||||||||||||||
| DLR - Schwerpunkt: | Verkehr | ||||||||||||||||||||||||
| DLR - Forschungsgebiet: | V VS - Verkehrssystem | ||||||||||||||||||||||||
| DLR - Teilgebiet (Projekt, Vorhaben): | V - DATAMOST - Daten & Modelle zur Mobilitätstransform (alt) | ||||||||||||||||||||||||
| Standort: | Berlin-Adlershof | ||||||||||||||||||||||||
| Institute & Einrichtungen: | Institut für Verkehrsforschung > Räume in Mobilitäts- und Transportsystemen Institut für Verkehrsforschung > Verkehrsmittel | ||||||||||||||||||||||||
| Hinterlegt von: | Schulz, Angelika | ||||||||||||||||||||||||
| Hinterlegt am: | 14 Jan 2020 14:29 | ||||||||||||||||||||||||
| Letzte Änderung: | 08 Mai 2024 09:31 |
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