elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Impressum | Datenschutz | Kontakt | English
Schriftgröße: [-] Text [+]

Acceptable Automobility through Automated Driving. Insights into the Requirements for Different Mobility Configurations and an Evaluation of Suitable Use Cases

Stark, Kerstin und Galich, Anton (2020) Acceptable Automobility through Automated Driving. Insights into the Requirements for Different Mobility Configurations and an Evaluation of Suitable Use Cases. Sustainability, 12 (21). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/su12219253. ISSN 2071-1050.

[img] PDF - Verlagsversion (veröffentlichte Fassung)
271kB

Offizielle URL: https://www.mdpi.com/2071-1050/12/21/9253/htm

Kurzfassung

It is hoped that Automated Driving (AD) will make alternatives to the private car more attractive and facilitate the transition to sustainable transport. However, this expectation may underestimate both the resistance of private automobility and the unintended consequences of automated driving. Whether AD will contribute to sustainable mobility depends largely on its implementation and how its risks are prevented. This paper provides empirical insights into the design of acceptable forms of AD by investigating specific use cases with respect to the requirements of different mobility configurations. We pay special attention to people who travel with children. Our use cases comprise three probable types, covering the spectrum from demand-responsive transport (DRT) to private vehicles. Our results include the identification of mobility configurations and an analysis of AD use cases considering several empirically derived criteria: improved accessibility, ease of daily life and well-being, and improvement of the traffic situation and the transport system. Our analysis is based on a qualitative study in the Berlin area, Germany. The discussion focuses on the usefulness of AD against the background of different user perspectives, sustainability, and societal requirements, as well as an evaluation of AD in terms of its acceptability. We conclude that automated mobility use cases should meet the requirements of different mobility configurations to promote the transformation from private to shared automobility and, eventually, less automobility overall.

elib-URL des Eintrags:https://elib.dlr.de/137326/
Dokumentart:Zeitschriftenbeitrag
Titel:Acceptable Automobility through Automated Driving. Insights into the Requirements for Different Mobility Configurations and an Evaluation of Suitable Use Cases
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Stark, KerstinKerstin.Stark (at) dlr.dehttps://orcid.org/0000-0002-1129-9015NICHT SPEZIFIZIERT
Galich, AntonAnton.Galich (at) dlr.dehttps://orcid.org/0000-0002-6556-6705NICHT SPEZIFIZIERT
Datum:7 November 2020
Erschienen in:Sustainability
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:12
DOI:10.3390/su12219253
Verlag:Multidisciplinary Digital Publishing Institute (MDPI)
Name der Reihe:Special Issue Sustainable Automobility in the Mobile Risk Society
ISSN:2071-1050
Status:veröffentlicht
Stichwörter:automated driving; acceptance; acceptability; mobility configurations; use cases; automobility; qualitative research
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 - Zukunftsbilder eines automatisierten integrierten Verkehrssystems (alt), V - UrMo Digital (alt)
Standort: Berlin-Adlershof
Institute & Einrichtungen:Institut für Verkehrsforschung > Mobilität und urbane Entwicklung
Institut für Verkehrsforschung > Personenverkehr
Hinterlegt von: Stark, Dr. Kerstin
Hinterlegt am:12 Nov 2020 10:13
Letzte Änderung:27 Okt 2023 14:48

Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags

Blättern
Suchen
Hilfe & Kontakt
Informationen
electronic library verwendet EPrints 3.3.12
Gestaltung Webseite und Datenbank: Copyright © Deutsches Zentrum für Luft- und Raumfahrt (DLR). Alle Rechte vorbehalten.