On-street parking is associated with elevated crash risk. It is not known how drivers' mental workload and behaviour in the presence of on-street parking contributes to, or fails to reduce, this increased crash risk. On-street parking tends to co-exist with visually complex streetscapes that may affect workload and crash risk in their own right. The present paper reports results from a driving simulator study examining the effects of on-street parking and road environment visual complexity on driver behaviour and surrogate measures of crash risk. Twenty-nine participants drove a simulated urban commercial and arterial route. Compared to sections with no parking bays or empty parking bays, in the presence of occupied parking bays drivers lowered their speed and shifted their lateral position towards roadway centre to compensate for the higher mental workload they reported experiencing. However, this compensation was not sufficient to reduce drivers' reaction time on a safety-relevant peripheral detection task or to an unexpected pedestrian hazard. Compared to the urban road environments, the less visually complex arterial road environment was associated with speeds that were closer to the posted limit, lower speed variability and lower workload ratings. These results support theoretical positions that proffer workload as a mediating variable of speed choice. However, drivers in this study did not modify their speed sufficiently to maintain safe hazard response times in complex environments with on-street parking. This inadequate speed compensation is likely to affect real world crash risk.
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http://dx.doi.org/10.1016/j.aap.2011.10.001 | DOI Listing |
J Adv Nurs
January 2025
Center for Wise Information Technology of Mental Health Nursing Research, School of Nursing, Wuhan University, Wuhan, China.
Aims: To explore the relationship between neighbourhood environments and mental health by integrating subjective and objective perspectives.
Design: A cross-sectional study.
Methods: From September 2023 to January 2024, adult residents at the physical examination centers of two public hospitals in China completed measurements of subjective neighbourhood environment, depressive and anxiety symptoms, psychological stress, and socio-demographic characteristics.
Accid Anal Prev
March 2025
Department of Civil Engineering, McMaster University, 1280 Main Street West, Hamilton, Ontario, Canada, L8S 4L7. Electronic address:
With the imminent widespread integration of Autonomous Vehicles (AVs) into our traffic ecosystem, understanding the factors that impact their safety is a vital research area. To that end, this study assessed the impact of a wide range of factors on the frequency of AV-road user conflicts. The study utilized the Woven prediction and validation dataset, which contains over 1000 h of data collected from the onboard sensors of 20 AVs in California.
View Article and Find Full Text PDFCurr Environ Health Rep
December 2024
Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA.
Purpose Of Review: Parking is a ubiquitous feature of the built environment, but its implications for public health are under-examined. This narrative review synthesizes literature to describe pathways through which parking may affect population health.
Recent Findings: We begin by contextualizing the issue, outlining key terminology, the sheer scale of land dedicated to parking, and the historical factors that led to this dominant land use.
Heliyon
October 2024
Department of Civil, Environmental, Architectural Engineering and Mathematics (DICATAM), University of Brescia, Brescia, Italy.
In managing road infrastructures, a key benchmark is the 85th percentile of vehicle speeds (V). While V can be derived from spot speed samples, these are often lacking on each urban road. Thus, prediction models become valuable tools for examining the relationship between V and road characteristics.
View Article and Find Full Text PDFAccid Anal Prev
February 2024
General Motors Company, Detroit, MI 48232-5170, United States of America.
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