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Estimating service related traffic demand from trip chain data

Schneider, Sebastian and Wolfermann, Axel (2013) Estimating service related traffic demand from trip chain data. 92nd Annual Meeting of the Transportation Research Board, 2013-01-13 - 2013-01-17, Washington DC, USA.

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Abstract

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.

Item URL in elib:https://elib.dlr.de/77789/
Document Type:Conference or Workshop Item (Speech)
Title:Estimating service related traffic demand from trip chain data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schneider, SebastianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Wolfermann, AxelUNSPECIFIEDhttps://orcid.org/0000-0002-6571-9791UNSPECIFIED
Date:January 2013
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Commercial transport, modelling, trip chains, Personenwirtschaftsverkehr, Modellierung, Fahrtenketten
Event Title:92nd Annual Meeting of the Transportation Research Board
Event Location:Washington DC, USA
Event Type:international Conference
Event Start Date:13 January 2013
Event End Date:17 January 2013
Organizer:Transportation Research Board
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 - Verkehrsentwicklung und Umwelt II (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transport Research
Institute of Transport Research > Commercial Transport
Deposited By: Wolfermann, Dr.-Ing. Axel
Deposited On:15 Oct 2012 08:19
Last Modified:24 Apr 2024 19:44

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