Ride-pooling efficiency in large, medium-sized and small towns - Simulation assessment in the Munich metropolitan region

Felix Zwick; Nico Kuehnel; Rolf Moeckel; Kay W. Axhausen

doi:10.1016/j.procs.2021.03.083

Ride-pooling efficiency in large, medium-sized and small towns - Simulation assessment in the Munich metropolitan region

Felix Zwick, Nico Kuehnel, Rolf Moeckel, Kay W. Axhausen

Associate Professorship of Travel Behavior

Research output: Contribution to journal › Conference article › peer-review

13 Scopus citations

Abstract

This study introduces an autonomous ride-pooling service to six communities with varying population sizes and trip densities in the Munich Metropolitan Region. We analyze a) a laissez-faire scenario without additional policies, defining the modal shift through an incremental mode choice model and b) a draconian scenario in which each within-city car trip is replaced by ridepooling. Results indicate a logarithmic increase in system efficiency with increasing trip densities. While the results confirm the potential of ride-pooling systems to reduce private car fleets drastically, a reduction of traveled km is identified for scenarios with more than 1,000 requests per km² per day.

Original language	English
Pages (from-to)	662-667
Number of pages	6
Journal	Procedia Computer Science
Volume	184
DOIs	https://doi.org/10.1016/j.procs.2021.03.083
State	Published - 2021
Event	12th International Conference on Ambient Systems, Networks and Technologies, ANT 2021 / 4th International Conference on Emerging Data and Industry 4.0, EDI40 2021 / Affiliated Workshops - Warsaw, Poland Duration: 23 Mar 2021 → 26 Mar 2021

Keywords

New mobility
On-demand mobility
Pooling efficiency
Population density
Ride-sharing
Shared autonomous vehicles

Access to Document

10.1016/j.procs.2021.03.083

Cite this

@article{d972b59079494b88bab432dd4479e8e1,

title = "Ride-pooling efficiency in large, medium-sized and small towns - Simulation assessment in the Munich metropolitan region",

abstract = "This study introduces an autonomous ride-pooling service to six communities with varying population sizes and trip densities in the Munich Metropolitan Region. We analyze a) a laissez-faire scenario without additional policies, defining the modal shift through an incremental mode choice model and b) a draconian scenario in which each within-city car trip is replaced by ridepooling. Results indicate a logarithmic increase in system efficiency with increasing trip densities. While the results confirm the potential of ride-pooling systems to reduce private car fleets drastically, a reduction of traveled km is identified for scenarios with more than 1,000 requests per km2 per day.",

keywords = "New mobility, On-demand mobility, Pooling efficiency, Population density, Ride-sharing, Shared autonomous vehicles",

author = "Felix Zwick and Nico Kuehnel and Rolf Moeckel and Axhausen, {Kay W.}",

note = "Publisher Copyright: {\textcopyright} 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/); 12th International Conference on Ambient Systems, Networks and Technologies, ANT 2021 / 4th International Conference on Emerging Data and Industry 4.0, EDI40 2021 / Affiliated Workshops ; Conference date: 23-03-2021 Through 26-03-2021",

year = "2021",

doi = "10.1016/j.procs.2021.03.083",

language = "English",

volume = "184",

pages = "662--667",

journal = "Procedia Computer Science",

issn = "1877-0509",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - Ride-pooling efficiency in large, medium-sized and small towns - Simulation assessment in the Munich metropolitan region

AU - Zwick, Felix

AU - Kuehnel, Nico

AU - Moeckel, Rolf

AU - Axhausen, Kay W.

PY - 2021

Y1 - 2021

N2 - This study introduces an autonomous ride-pooling service to six communities with varying population sizes and trip densities in the Munich Metropolitan Region. We analyze a) a laissez-faire scenario without additional policies, defining the modal shift through an incremental mode choice model and b) a draconian scenario in which each within-city car trip is replaced by ridepooling. Results indicate a logarithmic increase in system efficiency with increasing trip densities. While the results confirm the potential of ride-pooling systems to reduce private car fleets drastically, a reduction of traveled km is identified for scenarios with more than 1,000 requests per km2 per day.

AB - This study introduces an autonomous ride-pooling service to six communities with varying population sizes and trip densities in the Munich Metropolitan Region. We analyze a) a laissez-faire scenario without additional policies, defining the modal shift through an incremental mode choice model and b) a draconian scenario in which each within-city car trip is replaced by ridepooling. Results indicate a logarithmic increase in system efficiency with increasing trip densities. While the results confirm the potential of ride-pooling systems to reduce private car fleets drastically, a reduction of traveled km is identified for scenarios with more than 1,000 requests per km2 per day.

KW - New mobility

KW - On-demand mobility

KW - Pooling efficiency

KW - Population density

KW - Ride-sharing

KW - Shared autonomous vehicles

UR - http://www.scopus.com/inward/record.url?scp=85106745223&partnerID=8YFLogxK

U2 - 10.1016/j.procs.2021.03.083

DO - 10.1016/j.procs.2021.03.083

M3 - Conference article

AN - SCOPUS:85106745223

SN - 1877-0509

VL - 184

SP - 662

EP - 667

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 12th International Conference on Ambient Systems, Networks and Technologies, ANT 2021 / 4th International Conference on Emerging Data and Industry 4.0, EDI40 2021 / Affiliated Workshops

Y2 - 23 March 2021 through 26 March 2021

ER -

Ride-pooling efficiency in large, medium-sized and small towns - Simulation assessment in the Munich metropolitan region

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this