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Estimating service related traffic demand from trip chain data

Schneider, Sebastian und Wolfermann, Axel (2013) Estimating service related traffic demand from trip chain data. 92nd Annual Meeting of the Transportation Research Board, 13-17 January 2013, Washington DC, USA.

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Commercial traffic constitutes a significant part of total traffic. While on long distances goods traffic prevails, particularly in metropolitan areas service related traffic (i.e. traffic resulting from services delivered to customers at home, offices, constructions sites etc.) takes the lead – and is continuously growing. It is common practice to forecast transport demand for passenger traffic and goods traffic. Dedicated models for service related traffic are still rare. This is not only due to the recognition of the particularities of this special part of traffic among transport planners, it is also due to the complexity of analyzing and depicting service related traffic. One characteristic of service related traffic is that it consists of tours connecting sometimes more than one destination with the origin of the tour. Furthermore, many trips are trips with commercial vehicles, registered by a company or organization, but also private vehicle owners use their cars to some extent for commercial trips. This poses the opportunity to use trip chain data available for private and commercial vehicles to derive total transport demand of service related trips from a sample population. This article introduces such a methodology to extrapolate traffic demand from trip chain data. It is not only applicable to service related traffic, but to all tour based traffic, if empirical tour patterns are available. A regular survey of the German Federal Motor Transport Authority together with detailed spatial and demographic data was used as input to the model. The city of Berlin served as a case study.

Dokumentart:Konferenzbeitrag (NICHT SPEZIFIZIERT)
Titel:Estimating service related traffic demand from trip chain data
AutorenInstitution oder E-Mail-Adresse der Autoren
Schneider, Sebastiansebastian.schneider@dlr.de
Wolfermann, Axelaxel.wolfermann@dlr.de
Datum:Januar 2013
Referierte Publikation:Ja
In Open Access:Nein
In ISI Web of Science:Nein
Status:akzeptierter Beitrag
Stichwörter:Commercial transport, modelling, trip chains, Personenwirtschaftsverkehr, Modellierung, Fahrtenketten
Veranstaltungstitel:92nd Annual Meeting of the Transportation Research Board
Veranstaltungsort:Washington DC, USA
Veranstaltungsart:internationale Konferenz
Veranstaltungsdatum:13-17 January 2013
Veranstalter :Transportation Research Board
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:keine Zuordnung
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V - keine Zuordnung
DLR - Teilgebiet (Projekt, Vorhaben):V - keine Zuordnung
Standort: Berlin-Adlershof
Institute & Einrichtungen:Institut für Verkehrsforschung
Institut für Verkehrsforschung > Wirtschaftsverkehr
Hinterlegt von: Dr.-Ing. Axel Wolfermann
Hinterlegt am:15 Okt 2012 08:19
Letzte Änderung:15 Okt 2012 08:19

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