Bike-sharing systems became one of the most popular means of individual transport in many European cities. With the growth of popularity of bicycle-sharing systems, the estimation of demand for its services becomes a very significant task for transportation planners. The data from GPS tracking systems installed on bicycles can be used as a reliable source of information in this case. The paper presents an approach to identify the segment of recreational trips, implemented within the bike-sharing system, based on poplar clusterisation algorithms. The authors developed the subroutines for cleaning the raw data obtained from GPS-trackers. By using the purified data on the numeric parameters of trips in a bicycle sharing system, the clustering model identifies such a cluster that represent recreational trips. The k-means, mini-batch k-means, birch algorithms, and agglomerative clustering are examined in this study in order to allocate recreational trips. The use of the proposed approach is demonstrated on the example of data obtained from Wavelo bike-sharing system in the city of Krakow, Poland.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Using Clustering Algorithms to Identify Recreational Trips Within a Bike-Sharing System


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Kabashkin, Igor (Herausgeber:in) / Yatskiv, Irina (Herausgeber:in) / Prentkovskis, Olegas (Herausgeber:in) / Naumov, Vitalii (Autor:in) / Banet, Krystian (Autor:in)

    Kongress:

    International Conference on Reliability and Statistics in Transportation and Communication ; 2019 ; Riga, Latvia October 16, 2019 - October 19, 2019



    Erscheinungsdatum :

    29.03.2020


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    SHARING BIKE AND SHARING BIKE SYSTEM

    YUE WEI | Europäisches Patentamt | 2019

    Freier Zugriff

    Estimating bike-share trips using station level data

    Médard de Chardon, Cyrille | Online Contents | 2015


    Modeling the Impacts of Bicycle Facilities on Work and Recreational Bike Trips in Los Angeles County, California

    Stinson, Monique A. / Porter, Christopher D. / Proussaloglou, Kimon E. et al. | Transportation Research Record | 2014


    The Impact of Dockless Bike-Sharing and Built Environment on Ride-Sourcing Trips

    Boqing Wang / Xiaoyu Xue / Min Yang et al. | DOAJ | 2024

    Freier Zugriff