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

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Reliability and Statistics in Transportation and Communication (RelStat 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 117))

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Abstract

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.

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Authors and Affiliations

  1. Cracow University of Technology, str. Warszawska 24, 31-155, Kraków, Poland

    Vitalii Naumov & Krystian Banet

Authors
  1. Vitalii Naumov
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  2. Krystian Banet
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Corresponding author

Correspondence to Vitalii Naumov .

Editor information

Editors and Affiliations

  1. Telematics and Logistics, Transport and Telecommunication Institute, Riga, Latvia

    Igor Kabashkin

  2. Transport and Telecommunication Institute, Riga, Latvia

    Irina Yatskiv

  3. Vilnius Gediminas Technical University, Vilnius, Lithuania

    Olegas Prentkovskis

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Naumov, V., Banet, K. (2020). Using Clustering Algorithms to Identify Recreational Trips Within a Bike-Sharing System. In: Kabashkin, I., Yatskiv, I., Prentkovskis, O. (eds) Reliability and Statistics in Transportation and Communication. RelStat 2019. Lecture Notes in Networks and Systems, vol 117. Springer, Cham. https://doi.org/10.1007/978-3-030-44610-9_14

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