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Warianty tytułu
Języki publikacji
Abstrakty
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).
Czasopismo
Rocznik
Tom
Strony
59--66
Opis fizyczny
Bibliogr. 25 poz., rys., tab.
Twórcy
autor
- Bialystok University of Technology, Faculty of Management, Department of Production Management, Poland
autor
- Bialystok University of Technology, Faculty of Management, Department of Business Informatics, Poland
Bibliografia
- 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 Transportation, 10(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 physics, 2(2), 110-115.
- Dobruszkes, F. (2006). An analysis of European low-cost airlines and their networks. Journal of Transport Geography, 14(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. Science, 328(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 bicyclesharing system (BIXI) in Montreal. Journal of Transport Geography, 41, 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 Research, 229(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: Methodological, 77, 38-75.
- Klimkiewicz, K. (2013). Wykorzystanie systemu Veturilo w transporcie miejskim w Warszawie. Zeszyty Naukowe Politechniki Poznańskiej. Organizacja i Zarządzanie, 60, 33-42.
- Kłos-Adamkiewicz, Z. (2014). Koszty i korzyści funkcjonowania miejskich wypożyczalni rowerów. Zeszyty Naukowe. Problemy Transportu i Logistyki, 26, 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 Applications, 368(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 & Technology, 12(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 review, 45(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 Magazine, 39(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 Board, 2143, 159-167.
- Sienkiewicz, J., & Hołyst, J.A. (2005). Statistical analysis of 22 public transport networks in Poland. Physical Review E, 72(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 Geography, 19(4), 712-721.
- Wei-Bing, D., Long, G., Wei, L., & Xu, C. (2009). Worldwide marine transportation network: Efficiency and container throughput. Chinese Physics Letters, 26(11), 118901.
- Xie, F., & Levinson, D. (2009). Modeling the growth of transportation networks: a comprehensive review. Networks and Spatial Economics, 9(3), 291-307.
- Yerra, B.M., & Levinson, D.M. (2005). The emergence of hierarchy in transportation networks. The Annals of Regional Science, 39(3), 541-553.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b85172fd-4bcb-4ab6-bafd-6c5f5414f8ac