--- _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' ...