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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. Transportation Research Record: Journal of the Transportation Research Board (2343), pp. 25-33. US National Research Council. DOI: [10.3141/2343-04] ISBN 978-0-309-26340-5 ISSN 0361-1981

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Official URL: http://trrjournalonline.trb.org/doi/10.3141/2343-04#d2423e75

Abstract

Commercial traffic constitutes a significant part of traffic. While on long distances goods traffic prevails, 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 growing. This kind of traffic is primarily passenger traffic, but for commercial reasons. Even though goods (e.g. tools) might be transported together with the person (agent, worker etc.), the major purpose of service trips is the movement of the person. It is common practice to forecast transport demand for private passenger traffic and goods traffic. Dedicated models for service traffic are still rare. This is not only due to the lacking 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 traffic. One characteristic of service traffic is that it consists of tours connecting sometimes more than one destination with the origin of the tour. Many trips are trips with commercial vehicles, registered by a company or organization, but also private vehicle owners use their cars for commercial trips. Because surveys can only collect information on trip chains for a sample population, a method is needed to derive the total demand from this sample. Surveys on private and commercial vehicles used for service trips are particularly useful for this purpose. This article introduces such a methodology to extrapolate traffic demand from trip chain data. It is not only applicable to service traffic, but to all tour based traffic.

Item URL in elib:https://elib.dlr.de/102121/
Document Type:Article
Title:Estimating service related traffic demand from trip chain data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schneider, SebastianUNSPECIFIEDUNSPECIFIED
Wolfermann, Axelaxel.wolfermann (at) dlr.deUNSPECIFIED
Date:2013
Journal or Publication Title:Transportation Research Record: Journal of the Transportation Research Board
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :[10.3141/2343-04]
Page Range:pp. 25-33
Publisher:US National Research Council
ISSN:0361-1981
ISBN:978-0-309-26340-5
Status:Published
Keywords:service traffic,trip chains,tour,model
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:13 Jan 2016 18:15
Last Modified:08 Mar 2018 18:52

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