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Automated Vehicles - Game Changer For Urban Mode Choice?

Cyganski, Rita und Gade, Kay und Steck, Felix und Kolarova, Viktoriya (2018) Automated Vehicles - Game Changer For Urban Mode Choice? mobil.TUM, 2018-06-13 - 2018-06-14, München. doi: 10.1016/j.trpro.2019.09.072. ISSN 2352-1457.

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Kurzfassung

The progressive automation in traffic up to the introduction of automated driving vehicles and associated new mobility services is capable of disrupting existing transport systems and is expected to have a significant impact on travel behavior, mode choice, car ownership and in the long run on residential location choice (e.g. Chapin et al., 2016; Milakis et al., 2017). Mobility needs, the resulting traffic as well as the physical shape of urban space are in close correlation (Cervero & Kockelmann, 1997). The city structure with its built environment and the location of residential and activity locations forms the basis for mobility decisions of households and companies and has a significant influence on the design of traffic (Heinrichs, 2015) as a compact urban structure with a high density and mix of uses promotes short distances, the use of active transport modes like walking or cycling, and provides a Basis for public transport through concentrated traffic demand. In return, the availability and use of transport means can influence the urban structure (e.g. Apel, 2003; Steierwald, 2005). Therefore it is expected, that the availability of automated vehicles will have an impact on traffic demand patterns and the built environment with the greatest impact expected on the highest level of automation, where the system can autonomously manage all aspects of driving the vehicle (Kornhauser, 2014). However, both the expected usage as well as the spatial impact are yet highly uncertain (Heinrichs & Cyganski, 2015) and will depend heavily on a variety of factors. Besides the level of automation and the share of such vehicles in the total stock, the regional context, the perception of these vehicles and the newly offered transport options, changes in travel time and their perception as well as user preferences in general are sure to play a crucial role when it comes to analyzing prospect changes (Fraedrich & Lenz, 2016). Recent studies on mode choices in the present of autonomous driving considering geographical characteristics suggest differences in the perception of the autonomous vehicle concepts depending on geographical context (Fraedrich et al., 2016).

elib-URL des Eintrags:https://elib.dlr.de/122659/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Automated Vehicles - Game Changer For Urban Mode Choice?
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Cyganski, RitaRita.Cyganski (at) dlr.dehttps://orcid.org/0000-0002-5744-1427NICHT SPEZIFIZIERT
Gade, KayKay.Gade (at) dlr.dehttps://orcid.org/0000-0001-5439-7056NICHT SPEZIFIZIERT
Steck, FelixFelix.Steck (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Kolarova, ViktoriyaViktoriya.Kolarova (at) dlr.dehttps://orcid.org/0000-0003-4365-5528NICHT SPEZIFIZIERT
Datum:Juni 2018
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
DOI:10.1016/j.trpro.2019.09.072
Name der Reihe:Transportation Research Procedia
ISSN:2352-1457
Status:veröffentlicht
Stichwörter:automated driving; urban structure; mobility behavior; acceptance
Veranstaltungstitel:mobil.TUM
Veranstaltungsort:München
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:13 Juni 2018
Veranstaltungsende:14 Juni 2018
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Bodengebundener Verkehr (alt)
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V BF - Bodengebundene Fahrzeuge
DLR - Teilgebiet (Projekt, Vorhaben):V - Fahrzeugintelligenz (alt)
Standort: Berlin-Adlershof
Institute & Einrichtungen:Institut für Verkehrsforschung > Mobilität und urbane Entwicklung
Institut für Verkehrsforschung > Personenverkehr
Hinterlegt von: Cyganski, Dr. Rita
Hinterlegt am:12 Nov 2018 13:01
Letzte Änderung:24 Apr 2024 20:26

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