Title

Identifying factors and conditions contributing to cyclists’ serious accidents with the use of association analysis

Journal title

Archives of Civil Engineering

Yearbook

2021

Volume

vol. 67

Issue

No 3

Affiliation

Anysz, Hubert : Warsaw University of Technology, Faculty of Civil Engineering, Al. Armii Ludowej 16, 00-637 Warsaw, Poland ; Włodarek, Paweł : Warsaw University of Technology, Faculty of Civil Engineering, Al. Armii Ludowej 16, 00-637 Warsaw, Poland ; Olszewski, Piotr : Warsaw University of Technology, Faculty of Civil Engineering, Al. Armii Ludowej 16, 00-637 Warsaw, Poland ; Cafiso, Salvatore : University of Catania, Department of Civil Engineering and Architecture, Viale Andrea Doria 6, 95131 Catania, Italy

Authors

Anysz, Hubert ; Włodarek, Paweł ; Olszewski, Piotr ; Cafiso, Salvatore

Keywords

cyclist accidents ; bicycle traffic ; cyclist injuries ; association analysis ; market basket analysis

Divisions of PAS

Nauki Techniczne

Coverage

197-211

Publisher

WARSAW UNIVERSITY OF TECHNOLOGY FACULTY OF CIVIL ENGINEERING and COMMITTEE FOR CIVIL ENGINEERING POLISH ACADEMY OF SCIENCES

Bibliography

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[12] A. Nicał, H. Anysz, The quality management in precast concrete production and delivery processes supported by association analysis, International Journal of Environmental Science and Technology, 2019. https://doi.org/10.1007/s13762-019-02597-9
[13] H. Anysz, A. Foremny, J. Kulejewski, Comparison of ANN classifier to the neuro-fuzzy system for collusion detection in the tender procedures of road construction sector. IOP Conf Ser Mater Sci Eng., 2019. https://dx.doi.org/10.1088/1757-899x/471/11/112064
[14] H. Anysz, B. Buczkowski, The association analysis for risk evaluation of significant delay occurrence in the completion date of construction project, International Journal of Environmental Science and Technology, 2018. https://doi.org/10.1007/s13762-018-1892-7
[15] K. Guerts, G, Wets, T. Brijs, K. Vanhoof, Profiling High Frequency Accident Locations Using Association Rules, Transportation Research Record - Journal of the Transportation Research Board, 1840, 2003. http://dx.doi.org/10.3141/1840-14
[16] A. Pande, M. Abdel-Aty, Market basket analysis of crash data from large jurisdictions and its potential as a decision support tool, Elsevier, Safety Science 47: pp. 145–154, 2009. https://doi.org/10.1016/j.ssci.2007.12.001
[17] C. Xu, J. Bao, C. Wang, P. Liu, Association rule analysis of factors contributing to extraordinarily severe traffic crashes in China, Journal of Safety Research 67: 65-75, 2018. https://doi.org/10.1016/j.jsr.2018.09.013
[18] D. Nenadić, Ranking dangerous sections of the road using MCDM model. Decision Making: Applications in Management and Engineering, 2(1): pp. 115–131, 2019. Retrieved from https://dmame.rabek.org/index.php/dmame/article/view/31
[19] P. Olszewski, P. Szagała, D. Rabczenko, & A. Zielińska, Investigating safety of vulnerable road users in selected EU countries. Journal of Safety Research, 68: pp. 49–57, 2019. https://doi.org/10.1016/j.jsr.2018.12.001
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Date

2021.09.08

Type

Article

Identifier

DOI: 10.24425/ace.2021.138051