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Speed analyses and modeling in pedestrian crossing areas

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The safety of vulnerable road users, especially pedestrians, on Polish roads remains among one of the lowest levels among EU countries. A high number of accidents involving pedestrians occur in areas with zebra crossings, and excessive speed is often mentioned in police records as a leading cause of accidents. A number of investigations highlight that drivers’ speed strongly influences the impact on pedestrian safety; hence, it should be controlled in areas with pedestrian crossings through effective management. According to traffic law regulations, drivers are required to give special attention and slow down while approaching a pedestrian crossing. The aim of the article is to explore drivers’ speed behaviors at zebra crossings depending on their localization. Investigated zebra crossings were located on single and dual carriageways on straight segments and approach sections of intersections without traffic lights. Speed measures were performed under free- flow traffic conditions. The conducted analysis allowed for the identification of road geometry-related parameters significantly influencing vehicles’ speeds at pedestrian crosswalk locations. Based on the analyzed parameters, regression models were developed and validated.
Czasopismo
Rocznik
Strony
111--122
Opis fizyczny
Bibliogr. 19 poz.
Twórcy
  • Bialystok University of Technology; Wiejska 45A, 15-351 Bialystok
Bibliografia
  • 1. WHO, Global Status Report on Road Safety. World Health Organization. 2018. Geneva, Switzerland.
  • 2. European Road Safety Observatory ERSO. Traffic Safety Basic Facts 2018. Main Figures. Pedestrians. Available at: https://ec.europa.eu/transport/road_safety/sites/roadsafety/files/pdf/statistics/dacota/bfs20xx_pedestrians.pdf.
  • 3. Rosén, E. & Sander, U. Pedestrian fatality risk as a function of car impact speed. Accident Analysis and Prevention. 2009. Vol. 41 (3). P. 536-542.
  • 4. Tefft, B.C. Impact Speed and a Pedestrian’s Risk of Severe Injury or Death. Technical Report. 2011. Washington, D.C. AAA Foundation for Traffic Safety.
  • 5. Chen, Y. & Li, Y. & King, M. & et al. Identification methods of key contributing factors in crashes with high numbers of fatalities and injuries in China. Traffic Injury Prevention. 2016. Vol. 17. P. 878-883.
  • 6. Raheel, S. & Syyed, A. & Ahmad, N. & Shen, Y. & Kamal, M. & Basheer, M. & Brijs, T. Relationship between road traffic features and accidents: An application of two-stage decision making approach for transportation engineers. Journal of Safety Research. 2019. Vol. 69. DOI: 10.1016/j.jsr.2019.01.001.
  • 7. Theofilatos, A. & Ziakopoulos, A. & Oviedo-Trespalacios, O. & Timmis, A. To cross or not to cross? Review and meta-analysis of pedestrian gap acceptance decisions at midblock street crossings. Journal of Transport & Health. 2025. Vol. 22. No. 101108. ISSN: 2214-1405. DOI: 10.1016/j.jth. 2021.101108.
  • 8. Chen, E. & Yan, Y. & Ye, Z. & Wang, C. & Du, C. Investigating impacts of illegal crossings on vehicle operations at unmarked midblock locations. Journal of Transportation Safety & Security. 2022. Vol. 14 (2). P. 177-196. DOI: 10.1080/19439962.2020.1754980.
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  • 11. Yagil, D. Beliefs, motives and situational factors related to pedestrians’ self-reported behavior at signal-controlled crossings. Transportation Research Part F: Traffic Psychology and Behaviour. 2000. Vol. 3(1). P. 1-13.
  • 12. Liu, Y.C. & Tung, Y.C. Risk analysis of pedestrians’ road-crossing decisions: Effects of age, time gap, time of day, and vehicle speed. Safety Science. 2014. Vol. 63. P. 77-82.
  • 13. Sołowczuk, A. & Kacprzak, D. Identification of the determinants of the effectiveness of on-road chicanes in transition zones to villages subject to a 70 km/h speed limit. Energies. 2020. Vol. 13(20). No. 5244.
  • 14. Harwood, D.W. & Torbic, D.J. & Gilmore, D.K. & Bokenkoger, C.D. & Dunn, J.M. & Zegeer, C.V. & Srinivasan, S. & Carter, D. & Raborn, C. & Lyon, C. & Persaud, B. Pedestrian safety prediction methodology. Phase III. Project 17-26. National Cooperative Highway Research Program (NCHRP). Transportation Research Board. 2008. Washington, DC.
  • 15. Chen, Y. & Meng, H. & Wang, Z. Safety improvement practice for vulnerable road users in Beijing intersections. In: TRB 88th Annual Meeting Compendium of Papers. Transportation Research Board. 2009. Washington, DC.
  • 16. Zegeer, C.V. & Stewart, J.R. & Huang, H. & Lagerwey, P.A. & Feagan, J. & Campbell, B.J. Safety effects of marked versus unmarked crosswalks at uncontrolled locations. Final report and recommended guidelines (FHWA-HRT04-100). Federal Highway Administration. 2005. Washington, DC.
  • 17. Montgomery, D.C. & Peck, E.A. & Vining, G.G. Introduction to Linear Regression Analysis. 5th ed. John Wiley & Sons: Hoboken. NJ, USA. 2012. P. 688.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7f515682-80d6-4ed6-8a3a-98ca843f0017
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