---
_id: '2856'
abstract:
- lang: eng
text: Taxi ridesharing1 (TRS) is an advanced form of urban transportation that matches
separate ride requests with similar spatio-temporal characteristics to a jointly
used taxi. As collaborative consumption, TRS saves customers money, enables taxi
companies to economize use of their resources, and lowers greenhouse gas emissions.
We develop a one-to-one TRS approach that matches rides with similar start and
end points. We evaluate our approach by analyzing an open dataset of > 5 million
taxi trajectories in New York City. Our empirical analysis reveals that the proposed
approach matches up to 48.34% of all taxi rides, saving 2,892,036 km of travel
distance, 231,362.89 l of gas, and 532,134.64 kg of CO2 emissions per week. Compared
to many-to-many TRS approaches, our approach is competitive, simpler to implement
and operate, and poses less rigid assumptions on data availability and customer
acceptance.
article_type: original
author:
- first_name: Benjamin
full_name: Barann, Benjamin
last_name: Barann
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: Barann B, Beverungen D, Müller O. An open-data approach for quantifying the
potential of taxi ridesharing. Decision Support Systems. 2017:86--95. doi:10.1016/j.dss.2017.05.008
apa: Barann, B., Beverungen, D., & Müller, O. (2017). An open-data approach
for quantifying the potential of taxi ridesharing. Decision Support Systems,
86--95. https://doi.org/10.1016/j.dss.2017.05.008
bibtex: '@article{Barann_Beverungen_Müller_2017, title={An open-data approach for
quantifying the potential of taxi ridesharing}, DOI={10.1016/j.dss.2017.05.008},
journal={Decision Support Systems}, author={Barann, Benjamin and Beverungen, Daniel
and Müller, Oliver}, year={2017}, pages={86--95} }'
chicago: Barann, Benjamin, Daniel Beverungen, and Oliver Müller. “An Open-Data Approach
for Quantifying the Potential of Taxi Ridesharing.” Decision Support Systems,
2017, 86--95. https://doi.org/10.1016/j.dss.2017.05.008.
ieee: B. Barann, D. Beverungen, and O. Müller, “An open-data approach for quantifying
the potential of taxi ridesharing,” Decision Support Systems, pp. 86--95,
2017.
mla: Barann, Benjamin, et al. “An Open-Data Approach for Quantifying the Potential
of Taxi Ridesharing.” Decision Support Systems, 2017, pp. 86--95, doi:10.1016/j.dss.2017.05.008.
short: B. Barann, D. Beverungen, O. Müller, Decision Support Systems (2017) 86--95.
date_created: 2018-05-24T08:48:58Z
date_updated: 2022-01-06T06:58:08Z
department:
- _id: '526'
doi: 10.1016/j.dss.2017.05.008
keyword:
- Taxi ridesharing Collaborative consumption Transportation Open data Sustainability
Shared mobility
language:
- iso: eng
page: 86--95
publication: Decision Support Systems
quality_controlled: '1'
status: public
title: An open-data approach for quantifying the potential of taxi ridesharing
type: journal_article
user_id: '21671'
year: '2017'
...