loading
Documents

Research.Publish.Connect.

Paper

Authors: Sören Schleibaum 1 ; Maike Greve 2 ; Tim-Benjamin Lembcke 2 ; Amos Azaria 3 ; Jelena Fiosina 1 ; Noam Hazon 3 ; Lutz Kolbe 2 ; Sarit Kraus 4 ; Jörg Müller 1 and Mark Vollrath 5

Affiliations: 1 Department of Informatics, Clausthal University of Technology, Julius-Albert Straße 4, Clausthal-Zellerfeld, Germany ; 2 Chair of Information Management, University of Göttingen, Platz der Göttinger Sieben 5, Göttingen, Germany ; 3 Department of Computer Science, Ariel University, Israel ; 4 Department of Computer Science, Bar-Ilan University, Israel ; 5 Chair of Engineering and Traffic Psychology, TU Braunschweig, Germany

ISBN: 978-989-758-419-0

Keyword(s): User Preferences, Ridesharing, Assignment, Shared Mobility, Platform Economy.

Abstract: Ridesharing can significantly reduce individual passenger transport and thus greenhouse gas emissions generated by traffic. Although ridesharing offers great potential, it is not yet popular enough to be seen as an important contribution to solving the aforementioned problems. Our hypothesis suggests that we need to make the assignment mechanism of ridesharing systems more human-centric and comprehensible in order to popularise ridesharing. Therefore, we investigate factors that influence the choice of users and their satisfaction with the assigned ride. Most of today’s ridesharing assignment algorithms focus solely on features such as time, distance and price. Contrarily, this paper examines additional factors that influence customer decisions to increase their satisfaction. Therefore, we first conduct a literature study to identify previous preferences relevant for ridesharing from a research perspective. Subsequently, we extract the relevant preferences for an assignment process. F rom these we secondly conduct a survey. Last, we analyse the obtained survey data and order the preferences based on their importance for participants overall and among demographic subgroups. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.239.149.34

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Schleibaum, S.; Greve, M.; Lembcke, T.; Azaria, A.; Fiosina, J.; Hazon, N.; Kolbe, L.; Kraus, S.; Müller, J. and Vollrath, M. (2020). How Did You Like This Ride? An Analysis of User Preferences in Ridesharing Assignments.In Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-419-0, pages 157-168. DOI: 10.5220/0009324401570168

@conference{vehits20,
author={Sören Schleibaum. and Maike Greve. and Tim{-}Benjamin Lembcke. and Amos Azaria. and Jelena Fiosina. and Noam Hazon. and Lutz Kolbe. and Sarit Kraus. and Jörg P. Müller. and Mark Vollrath.},
title={How Did You Like This Ride? An Analysis of User Preferences in Ridesharing Assignments},
booktitle={Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2020},
pages={157-168},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009324401570168},
isbn={978-989-758-419-0},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - How Did You Like This Ride? An Analysis of User Preferences in Ridesharing Assignments
SN - 978-989-758-419-0
AU - Schleibaum, S.
AU - Greve, M.
AU - Lembcke, T.
AU - Azaria, A.
AU - Fiosina, J.
AU - Hazon, N.
AU - Kolbe, L.
AU - Kraus, S.
AU - Müller, J.
AU - Vollrath, M.
PY - 2020
SP - 157
EP - 168
DO - 10.5220/0009324401570168

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.