Speeding behavior among teenage drivers during the learner and early independent driving stage: A case study approach.
Autor: | Chang CH; Department of Civil and Systems Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, United States. Electronic address: cchiahs1@alumni.jhu.edu., Zhu S; Department of Civil and Systems Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, United States. Electronic address: szhu34@jhu.edu., Chirles TJ; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, MD 21205, United States. Electronic address: tchirle1@jhmi.edu., Weast R; Insurance Institute for Highway Safety, 988 Dairy Rd, Ruckersville, VA 22968, United States. Electronic address: rweast@iihs.org., Ji T; Department of Civil and Systems Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, United States. Electronic address: tji8@jhu.edu., Igusa T; Department of Civil and Systems Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, United States; Department of Applied Mathematics and Statistics, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, United States. Electronic address: tigusa1@jhu.edu., Ehsani JP; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, MD 21205, United States. Electronic address: johnathon.ehsani@jhu.edu. |
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Jazyk: | angličtina |
Zdroj: | Journal of safety research [J Safety Res] 2024 Feb; Vol. 88, pp. 103-110. Date of Electronic Publication: 2023 Nov 18. |
DOI: | 10.1016/j.jsr.2023.10.013 |
Abstrakt: | Introduction: Speed is a primary contributing factor in teenage driver crashes. Yet, there are significant methodological challenges in measuring real-world speeding behavior. Method: This case study approach analyzed naturalistic driving data for six teenage drivers in a longitudinal study that spanned the learner and early independent driving stages of licensure in Maryland, United States. Trip duration, travel speed and length were recorded using global position system (GPS) data. These were merged with maps of the Maryland road system, which included posted speed limit (PSL) to determine speeding events in each recorded trip. Speeding was defined as driving at the speed of 10 mph higher than the posted speed limit and lasting longer than 6 s. Using these data, two different speeding measures were developed: (1) Trips with Speeding Episodes, and (2) Verified Speeding Time. Conclusions & Practical Applications: Across both measures, speeding behavior during independent licensure was greater than during the learner period. These measures improved on previous methodologies by using PSL information and eliminating the need for mapping software. This approach can be scaled for use in larger samples and has the potential to advance understanding about the trajectory of speeding behaviors among novice teenage drivers. Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2023 National Safety Council and Elsevier Ltd. All rights reserved.) |
Databáze: | MEDLINE |
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