Structure and dynamics of a public bike-sharing system. Case study of the public transport system in Białystok

Open access

Abstract

The article presents the results of a research project referring to the dynamics of the public bike-sharing system BiKeR (Białystok, Poland) in 2014-2015. Identification of the dynamics of the system permits modifications that lead to the enhancement of the efficiency and help to determine the reasons for the choice of a location for new bicycle stations. The basic methodology used for compiling data were the statistical methods with special emphasis on network analysis and graph theory.

Analysis of the data allowed us to identify the mechanisms of changes in the system affecting its dynamics, especially in the area of network topology changes in conjunction with the location of network nodes (stations). The research and analysis showed the specificity of PBS as a transport network. The PBS network, the process of analysis, the value of network metrics and their distribution differ significantly from other types of transport networks (including municipal). The results improve decision-making processes related to the creation and modification of a PBS network, especially in the field of process support, the choice of station location and the impact of these choices on the networks dynamics (as a prognostic utility).

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • Ahillen M. Mateo-Babiano D. & Corcoran J. (2016). Dynamics of bike sharing in Washington DC and Brisbane Australia: Implications for policy and planning. International Journal of Sustainable Transportation10(5) 441-454.

  • Chatterjee A. (2015). Studies on the Structure and Dynamics of Urban Bus Networks in Indian Cities. arXiv preprint arXiv:1512.05909.

  • Colizza V. Flammini A. Serrano M. A. & Vespignani A. (2006). Detecting rich-club ordering in complex networks. Nature physics2(2) 110-115.

  • Dobruszkes F. (2006). An analysis of European low-cost airlines and their networks. Journal of Transport Geography14(4) 249-264.

  • Ducruet C. & Lugo I. (2013). Structure and dynamics of transportation networks: Models methods and applications. In J. P. Rodrigue T. E. Notteboom J. Shaw (Eds.) The SAGE Handbook of Transport Studies (pp. 347-364). SAGE.

  • Eagle N. Macy M. & Claxton R. (2010). Network diversity and economic development. Science328(5981) 1029-1031.

  • Faghih-Imani A. Eluru N. El-Geneidy A. M. Rabbat M. & Haq U. (2014). How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal. Journal of Transport Geography41 306-314.

  • Farahani R. Z. Miandoabchi E. Szeto W. Y. & Rashidi H. (2013). A review of urban transportation network design problems. European Journal of Operational Research229(2) 281-302.

  • Ibarra-Rojas O. J. Delgado F. Giesen R. & Muñoz J. C. (2015). Planning operation and control of bus transport systems: A literature review. Transportation Research Part B: Methodological77 38-75.

  • Klimkiewicz K. (2013). Wykorzystanie systemu Veturilo w transporcie miejskim w Warszawie. Zeszyty Naukowe Politechniki Poznańskiej. Organizacja i Zarządzanie60 33-42.

  • Kłos-Adamkiewicz Z. (2014). Koszty i korzyści funkcjonowania miejskich wypożyczalni rowerów. Zeszyty Naukowe. Problemy Transportu i Logistyki26 55-66.

  • Li W. Wang Q. A. Nivanen L. & Le Méhauté A. (2006). How to fit the degree distribution of the air network? Physica A: Statistical Mechanics and its Applications368(1) 262-272.

  • Lillo F. Mantegna R. N. & Miccichè S. (2016). In A. Cook & D. Rivas (Eds.) Complex Networks in Air Transport in Complexity Science in Air Traffic Management. Routledge.

  • Lu H. & Shi Y. (2007). Complexity of public transport networks. Tsinghua Science & Technology12(2) 204-213.

  • Mahmoud M. S. El-Assi W. & Habib K. N. (2015). Effects of Built Environment and Weather on Bike Sharing Demand: Station Level Analysis of Commercial Bike Sharing in Toronto. Transportation Research Board 94th Annual Meeting. Retrieved from http://docs.trb.org/prp/15-2001.pdf

  • Newman M. E. (2003). The structure and function of complex networks. SIAM review45(2) 167-256.

  • Rocha L. E. C. (2016). Dynamics of Air Transport Networks: A Review from a Complex Systems Perspective. arXiv preprint arXiv:1605.04872.

  • Shaheen S. & Guzman S. (2011). Worldwide bikesharing. Access Magazine39(1) 22-27.

  • Shaheen S. Guzman S. & Zhang H. (2010). Bikesharing in Europe the Americas and Asia: past present and future. Transportation Research Record: Journal of the Transportation Research Board2143 159-167.

  • Sienkiewicz J. & Hołyst J. A. (2005). Statistical analysis of 22 public transport networks in Poland. Physical Review E72(4) 046127.

  • Tarapata Z. (2013). Analiza i modelowanie sieci transportowych z wykorzystaniem sieci złożonych. Prace Naukowe Politechniki Warszawskiej. Transport 97 519-529.

  • Wang J. Mo H. Wang F. & Jin F. (2011). Exploring the network structure and nodal centrality of China’s air transport network: A complex network approach. Journal of Transport Geography19(4) 712-721.

  • Wei-Bing D. Long G. Wei L. & Xu C. (2009). Worldwide marine transportation network: Efficiency and container throughput. Chinese Physics Letters26(11) 118901.

  • Xie F. & Levinson D. (2009). Modeling the growth of transportation networks: a comprehensive review. Networks and Spatial Economics9(3) 291-307.

  • Yerra B. M. & Levinson D. M. (2005). The emergence of hierarchy in transportation networks. The Annals of Regional Science39(3) 541-553.

Search
Journal information
Impact Factor


CiteScore 2018: 0.72

Source Normalized Impact per Paper (SNIP) 2018: 0.505

Cited By
Metrics
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 302 131 12
PDF Downloads 374 161 13