Bike-sharing systems in Poland

Tomasz Bieliński , Agnieszka Kwapisz , Agnieszka Ważna


Bike-sharing is widely recognized as an eco-friendly mode of transportation and seen as one of the solutions to the problem of air pollution and congestion. As there is little research exploring the performance of bicycle-sharing systems (BSS), many municipal authorities invest in their development without knowledge of their effectiveness. Therefore, the aim of this article is to identify factors that correlate with BSS performance. Data related to BSS and urban characteristics were collected for the 56 cities in Poland, which is the population of BSS systems in this country. The Ordinary Least Square regression model was used to estimate the model. Additionally, to support our findings, a survey of 3631 cyclists was conducted. Our main findings show that BSS performance was positively related to cities’ population, tourism, number of bike stations per capita, congestion, bicycle pathways’ length and higher temperature, and negatively related to precipitation. We have also found that one BSS operator was more effective compared to the others.
Author Tomasz Bieliński (FE / IIB)
Tomasz Bieliński,,
- Institute of International Business
, Agnieszka Kwapisz
Agnieszka Kwapisz,,
, Agnieszka Ważna (FE / ChTE)
Agnieszka Ważna,,
- Deparment of Transport Economics
Journal seriesSustainability, ISSN 2071-1050, (N/A 70 pkt)
Issue year2019
Publication size in sheets0.65
Article number2458
Keywords in Englishbicycle-sharing systems, bike-share, performance, determinants, ridership
ASJC Classification3305 Geography, Planning and Development; 2105 Renewable Energy, Sustainability and the Environment; 2308 Management, Monitoring, Policy and Law
Languageen angielski
LicenseJournal (articles only); published final; Uznanie Autorstwa (CC-BY); with publication
Score (nominal)70
Score sourcejournalList
ScoreMinisterial score = 70.0, 30-01-2020, ArticleFromJournal
Publication indicators WoS Citations = 1; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.911; WoS Impact Factor: 2018 = 2.592 (2) - 2018=2.801 (5)
Citation count*2 (2020-03-12)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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