Estimating Parameters of Demand for Trips by Public Bicycle System Using GPS Data

Bicycles become one of the main modes of public transport in modern cities. In many cases, they replace private cars and even public buses, especially in the cities with the developed bicycle infrastructure. However, designing and developing public transport systems should be implemented on the grounds of known parameters of demand for travels. The paper describes an approach to the travel demand estimation with the use of data obtained from GPS trackers. The article mainly focuses on data cleaning procedures and the estimations of the demand parameters on the base of the obtained dataset. The authors propose the software for reading raw records from GPX-files and cleaning the data. The case study of the bicycle share system in Kraków, Poland, is discussed in the paper: the results of the data cleansing and estimating demand parameters for recreational trips allocated from the obtained sample are shown.

• Record URL:
  https://doi.org/10.1007/978-3-030-35543-2
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9783030355425
• Supplemental Notes:
  • © Springer Nature Switzerland AG 2020.
• Corporate Authors:

  Springer International Publishing

  ,    
• Authors:
  • Naumov, Vitalii
  • Banet, Krystian
• Conference:
  • Smart and Green Solutions for Transport Systems : 16th Scientific and Technical Conference "Transport Systems. Theory and Practice 2019"
  • Location: Katowice , Poland
  • Date: 2019-9-16 to 2019-9-18
• Publication Date: 2019-11

Language

• English

Media Info

• Media Type: Web
• Edition: 1
• Features: References;
• Pagination: pp 213-224
• Monograph Title: Smart and Green Solutions for Transport Systems: 16th Scientific and Technical Conference "Transport Systems. Theory and Practice 2019" Selected Papers
• Serial:
  • Advances in Intelligent Systems and Computing
  • Volume: 1091
  • Publisher: Springer International Publishing
  • ISSN: 2194-5357
  • Serial URL: http://link.springer.com/bookseries/11156

Subject/Index Terms

• TRT Terms: Bicycle travel; Bicycles; Case studies; Data cleaning; Global Positioning System; Tracking systems; Travel demand; Vehicle sharing
• Geographic Terms: Krakow (Poland)
• Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting;

Filing Info

• Accession Number: 01899809
• Record Type: Publication
• ISBN: 9783030355425
• Files: TRIS
• Created Date: Nov 19 2023 6:05PM