The impact of commutes, work schedules, and sleep on near-crashes during nurses’ post shift-work commutes: A naturalistic driving study

2021 ◽  
pp. 1-12
Author(s):  
Alec Smith ◽  
Anthony D. McDonald ◽  
Farzan Sasangohar
Keyword(s):  
Shift Work ◽  
Work Schedules ◽  
Naturalistic Driving Study ◽  
Naturalistic Driving ◽  
The Impact ◽  
Post Shift

The impact of shift work schedules on PVT performance in naturalistic settings: a systematic review

2021 ◽  
Author(s):  
Matthew Ferris ◽  
Kelly-Ann Bowles ◽  
Mikaela Bray ◽  
Emma Bosley ◽  
Shantha M. W. Rajaratnam ◽  
...  
Keyword(s):  
Systematic Review ◽  
Shift Work ◽  
Work Schedules ◽  
The Impact

scholarly journals Sex Differences in the Impact of Shift Work Schedules on Pathological Outcomes in an Animal Model of Ischemic Stroke

Endocrinology ◽  
2016 ◽  
Vol 157 (7) ◽  
pp. 2836-2843 ◽  
Author(s):  
David J. Earnest ◽  
Nichole Neuendorff ◽  
Jason Coffman ◽  
Amutha Selvamani ◽  
Farida Sohrabji
Keyword(s):  
Animal Model ◽  
Sex Differences ◽  
Ischemic Stroke ◽  
Shift Work ◽  
Work Schedules ◽  
The Impact

scholarly journals Risk Factors in Work Zone Safety Events: A Naturalistic Driving Study Analysis

2019 ◽  
Vol 2673 (1) ◽  
pp. 379-387 ◽  
Author(s):  
Nipjyoti Bharadwaj ◽  
Praveen Edara ◽  
Carlos Sun
Keyword(s):  
Risk Factors ◽  
Driver Behavior ◽  
Work Zone ◽  
Crash Risk ◽  
Work Zones ◽  
Binary Logistic Regression Model ◽  
Work Zone Safety ◽  
Naturalistic Driving Study ◽  
Naturalistic Driving ◽  
The Impact

Identification of crash risk factors and enhancing safety at work zones is a major priority for transportation agencies. There is a critical need for collecting comprehensive data related to work zone safety. The naturalistic driving study (NDS) data offers a rare opportunity for a first-hand view of crashes and near-crashes (CNC) that occur in and around work zones. NDS includes information related to driver behavior and various non-driving related tasks performed while driving. Thus, the impact of driver behavior on crash risk along with infrastructure and traffic variables can be assessed. This study: (1) investigated risk factors associated with safety critical events occurring in a work zone; (2) developed a binary logistic regression model to estimate crash risk in work zones; and (3) quantified risk for different factors using matched case-control design and odds ratios (OR). The predictive ability of the model was evaluated by developing receiver operating characteristic curves for training and validation datasets. The results indicate that performing a non-driving related secondary task for more than 6 seconds increases the CNC risk by 5.46 times. Driver inattention was found to be the most critical behavioral factor contributing to CNC risk with an odds ratio of 29.06. In addition, traffic conditions corresponding to Level of Service (LOS) D exhibited the highest level of CNC risk in work zones. This study represents one of the first efforts to closely examine work zone events in the Transportation Research Board’s second Strategic Highway Research Program (SHRP 2) NDS data to better understand factors contributing to increased crash risk in work zones.

scholarly journals The impact of different shift work schedules on the levels of anxiety and stress in workers in a petrochemicals company

2009 ◽  
Vol 26 (1) ◽  
pp. 15-23 ◽  
Author(s):  
Katie Moraes de Almondes ◽  
John Fontenele Araújo
Keyword(s):  
Shift Work ◽  
Trait Anxiety ◽  
Work Conditions ◽  
Work Schedules ◽  
Test Results ◽  
State Trait Anxiety Inventory ◽  
Shift Workers ◽  
Stress Symptom ◽  
Informed Consent Form ◽  
The Impact

This study evaluated anxiety and stress in workers under different shift work conditions. The sample comprised 239 workers, with an average age of 42.6, standard deviation = 5.7 years, divided into fixed daytime working (n=52) and different working shifts (n=187). Documentation: Free and informed consent form; ID's; State-Trait Anxiety Inventory; Lipp's Stress Symptom Inventory for Adults. We used the t-test for independent samples, ANOVA, Pearson's correlation and the two-sample Comparison of proportions Test. Results showed that shift workers had higher State-Trait Anxiety scores than fixed daytime workers (t=-4.994; p=0.0001; t=-2.816; p=0.005, respectively). Both samples exhibited stress, but there were no statistically significant differences between the groups (t=-1.052; p=0.294). Shift work schedules caused more situational and dispositional anxiety, but did not significantly increase stress levels when compared to fixed daytime working.

scholarly journals Assessing the effect of COVID-19 travel and work restrictions on vehicle trips: A naturalistic driving case study

2020 ◽  
Author(s):  
Miguel Perez ◽  
Kenny Custer
Keyword(s):  
Data Collection ◽  
Travel Behavior ◽  
Trip Purpose ◽  
Rate Of Spread ◽  
Trip Distance ◽  
Naturalistic Driving Study ◽  
Naturalistic Driving ◽  
The Impact ◽  
Insight Into

<p><strong>Abstract:</strong></p> <p>This project aims to identify the impact of the Commonwealth of Virginia government’s response to COVID-19 on travel behavior using naturalistic driving data. While the macroscopic effects of these restrictions on travel are easily observable through substantial shifts in aggregate vehicle volumes on roadways, microscopic observation of unique trips and unique drivers may yield additional useful insights. In an ongoing naturalistic driving study in Southwest Virginia that will be the basis for this investigation, approximately 40 personal vehicles were instrumented with data acquisition systems prior to the first recommendations to stay at home to reduce the rate of spread of the virus. Data collection has continued throughout the pandemic, as restrictions have continued to evolve. Analyzing this driving data over the course of the COVID-19 progression timeline (and associated restrictions on travel and work) for trip volume, trip purpose, trip duration, trip distance, destination variability, and other similar characteristics will help inform how the restrictions have impacted microscopic travel behavior. The data will also be used to provide similar insight into how travel is affected as restrictions are eased. </p>

scholarly journals Assessing the effect of COVID-19 travel and work restrictions on vehicle trips: A naturalistic driving case study

2020 ◽  
Author(s):  
Miguel Perez ◽  
Kenny Custer
Keyword(s):  
Data Collection ◽  
Travel Behavior ◽  
Trip Purpose ◽  
Rate Of Spread ◽  
Trip Distance ◽  
Naturalistic Driving Study ◽  
Naturalistic Driving ◽  
The Impact ◽  
Insight Into

<p><strong>Abstract:</strong></p> <p>This project aims to identify the impact of the Commonwealth of Virginia government’s response to COVID-19 on travel behavior using naturalistic driving data. While the macroscopic effects of these restrictions on travel are easily observable through substantial shifts in aggregate vehicle volumes on roadways, microscopic observation of unique trips and unique drivers may yield additional useful insights. In an ongoing naturalistic driving study in Southwest Virginia that will be the basis for this investigation, approximately 40 personal vehicles were instrumented with data acquisition systems prior to the first recommendations to stay at home to reduce the rate of spread of the virus. Data collection has continued throughout the pandemic, as restrictions have continued to evolve. Analyzing this driving data over the course of the COVID-19 progression timeline (and associated restrictions on travel and work) for trip volume, trip purpose, trip duration, trip distance, destination variability, and other similar characteristics will help inform how the restrictions have impacted microscopic travel behavior. The data will also be used to provide similar insight into how travel is affected as restrictions are eased. </p>

Sign in / Sign up

Export Citation Format

Share Document