[{"user_id":"21671","title":"An open-data approach for quantifying the potential of taxi ridesharing","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","date_created":"2018-05-24T08:48:58Z","status":"public","department":[{"_id":"526"}],"keyword":["Taxi ridesharing Collaborative consumption Transportation Open data Sustainability Shared mobility"],"publication":"Decision Support Systems","quality_controlled":"1","author":[{"full_name":"Barann, Benjamin","first_name":"Benjamin","last_name":"Barann"},{"full_name":"Beverungen, Daniel","first_name":"Daniel","id":"59677","last_name":"Beverungen"},{"full_name":"Müller, Oliver","first_name":"Oliver","id":"72849","last_name":"Müller"}],"doi":"10.1016/j.dss.2017.05.008","_id":"2856","date_updated":"2022-01-06T06:58:08Z","language":[{"iso":"eng"}],"page":"86--95","citation":{"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.","short":"B. Barann, D. Beverungen, O. Müller, Decision Support Systems (2017) 86--95.","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.","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} }","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","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","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."},"year":"2017","type":"journal_article"}]