Print Email Facebook Twitter Exploring demand patterns of a ride-sourcing service using spatial and temporal clustering Title Exploring demand patterns of a ride-sourcing service using spatial and temporal clustering Author Liu, T.L.K. (TU Delft Transport and Planning) Krishnakumari, P.K. (TU Delft Transport and Planning) Cats, O. (TU Delft Transport and Planning) Date 2019 Abstract On-demand transport has become a common mode of transport with ride-sourcing companies like Uber, Lyft and Didi transforming the mobility market. Recurrent patterns in prevailing demand patterns can be used by service providers to better anticipate future demand distribution and thus support demand-Anticipatory fleet management strategies. To this end, we propose three steps for extracting such demand patterns from travel requests: (1) constructing the origin-destination zones by spatial clustering, (2) composing the hourly and daily origin-destination matrix, and; (3) temporal clustering to extract the dynamic demand patterns. We demonstrate the three step approach on the open-source Didi ride-sourcing data. The data consists of travel requests data for November 2016 from Chengdu, China amounting to approximately 6 million rides. The analysis reveals pronounced and recurrent and thus predictable daily and weekly patterns with distinct spatial properties pertaining to ride-sourcing production and attraction characteristics. Subject demand patternsride-sourcingspatial clusteringtaxi datatemporal clustering To reference this document use: http://resolver.tudelft.nl/uuid:a900cc34-dd2e-45c5-9dbe-a757d01748c8 DOI https://doi.org/10.1109/MTITS.2019.8883312 Publisher Institute of Electrical and Electronics Engineers (IEEE) Embargo date 2020-04-28 ISBN 9781538694848 Source MT-ITS 2019 - 6th International Conference on Models and Technologies for Intelligent Transportation Systems Event 6th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2019, 2019-06-05 → 2019-06-07, Krakow, Poland Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2019 T.L.K. Liu, P.K. Krishnakumari, O. Cats Files PDF 08883312.pdf 2.56 MB Close viewer /islandora/object/uuid:a900cc34-dd2e-45c5-9dbe-a757d01748c8/datastream/OBJ/view