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Demir B, Demir S, Wickens CM, Hoseinzadeh Nooshabadi M, Rodak T, Donmez B. Exploring the Behaviour Change Wheel and the Theoretical Domains Framework in interventions for mobile phone driver distraction: A scoping review. ACCIDENT; ANALYSIS AND PREVENTION 2024; 195:107369. [PMID: 38061292 DOI: 10.1016/j.aap.2023.107369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 10/30/2023] [Accepted: 10/30/2023] [Indexed: 12/30/2023]
Abstract
Mobile phone use while driving remains a significant traffic safety concern. Although numerous interventions have been developed to address it, there is a gap in the synthesis of relevant information through a comprehensive behaviour change lens. This scoping review uses the Behaviour Change Wheel (BCW) and the Theoretical Domains Framework (TDF) to examine the literature to (a) identify behavioural constructs targeted in interventions for mobile phone use while driving, (b) determine if the intervention success varied by sociodemographic group (e.g., age, gender, driving experience), and (c) map interventions to TDF domains to highlight areas for future research. Following the PRISMA extension for scoping reviews, we searched seven databases and identified 5,202 articles. After screening, 50 articles detailing 56 studies met the following inclusion criteria: (a) intervention studies, (b) providing details on methods and results, (c) written in English, and (d) targeting any driver behaviour related to mobile phone use while driving with a bottom-up approach, using not regulation or law enforcement, but individuals' psychological processes, such as cognitive, behavioural, and emotional. Findings show that most interventions targeted young drivers and were typically effective. Except for a few studies, the effectiveness of interventions targeting different sociodemographic groups either remained untested or revealed nonsignificant differences. This finding points to a gap in the literature, indicating a need for further investigation into the efficacy of interventions for different groups, and for tailoring and testing them accordingly. The interventions also often targeted multiple TDF domains, complicating the interpretation of the relative efficacy of specific domains. Most frequently targeted domains included beliefs and consequences, emotions, knowledge, social influence, social/professional role and identity, and behavioural regulation. Physical skills and optimism domains were not targeted in any intervention. Further, almost all interventions addressed deliberate engagement in mobile phone distractions, while the automatic and fast processes involved in such behaviours were often overlooked. Mobile phone distractions are in part habitual behaviours, yet the existing mitigation efforts mostly assumed intentional engagement. More focus on the habitual nature of mobile phone distractions is needed.
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Affiliation(s)
- Basar Demir
- University of Toronto, Department of Mechanical and Industrial Engineering, 5 King's College Road, Toronto, ON M5S 3G8, Canada; Faculty of Arts and Sciences, Final International University, Kyrenia via Mersin 10, Türkiye.
| | - Sila Demir
- Faculty of Arts and Sciences, Final International University, Kyrenia via Mersin 10, Türkiye; Centre for Addiction and Mental Health, Institute for Mental Health Policy Research, Toronto ON M5S 2S1, Canada.
| | - Christine M Wickens
- Centre for Addiction and Mental Health, Institute for Mental Health Policy Research, Toronto ON M5S 2S1, Canada; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Canada; Dalla Lana School of Public Health, University of Toronto, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Canada; Department of Pharmacology and Toxicology, University of Toronto, Canada.
| | - Mehdi Hoseinzadeh Nooshabadi
- University of Toronto, Department of Mechanical and Industrial Engineering, 5 King's College Road, Toronto, ON M5S 3G8, Canada.
| | - Terri Rodak
- CAMH Library, Department of Education, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
| | - Birsen Donmez
- University of Toronto, Department of Mechanical and Industrial Engineering, 5 King's College Road, Toronto, ON M5S 3G8, Canada.
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Zhu C, Brown CT, Dadashova B, Ye X, Sohrabi S, Potts I. Investigation on the driver-victim pairs in pedestrian and bicyclist crashes by latent class clustering and random forest algorithm. ACCIDENT; ANALYSIS AND PREVENTION 2023; 182:106964. [PMID: 36638723 DOI: 10.1016/j.aap.2023.106964] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 01/05/2023] [Accepted: 01/06/2023] [Indexed: 06/17/2023]
Abstract
Pedestrians and bicyclists from marginalized and underserved populations experienced disproportionate fatalities and injury rates due to traffic crashes in the US. This disparity among road users of different races and the increasing trend of traffic risk for underserved racial groups called for an urgent agenda for transportation policy making and research to ensure equity in roadway safety. Pedestrian and bicyclist crashes involved drivers and pedestrians/bicyclists; the latter were usually victims. Traditional safety studies did not account for the interaction between the two parties and assumed that they were independent from each other. In this study we paired the driver and pedestrian/bicyclist involved in the same crash to understand the socioeconomic and demographic make-up of the two parties involved in crashes and assessed the geographic distribution of these crashes and crash-contributing factors. For this purpose, we applied thelatent class clustering analysis (LCA) to classify different crash types and analyze the patterns of the crashes based on the income and ethnicity of both drivers and victims involved in pedestrian and bicyclist crashes. We then used random forest algorithms and partial dependence plots (PDPs) to model and interpreted the contributing factors of the clusters in both pedestrian and bicyclist models. The clustering results showed a pattern of social segregation in pedestrian and bicyclist crashes that drivers and victims with similar socioeconomic characteristics tend to be involved in one crash. Pedestrian/bicyclist exposure, driver's age, victim's age, year of the car in use, annual average daily traffic (AADT), speed limit, roadbed width, and lane width were the most influential factors contributing to this pattern. Crashes that involved drivers and victims with lower income and non-white ethnicity tended to happen in the location with higher pedestrian/bicyclist exposure, higher speed limit, and wider road. The findings of this research can help to inform the decision-making process for improving safety to ensure equitable and sustainable safety for all road users and communities.
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Affiliation(s)
- Chunwu Zhu
- Texas A&M Transportation Institute (TTI), Texas A&M University, Texas, USA; Department of Landscape Architecture and Urban Planning, School of Architecture, Texas A&M University, Texas, USA.
| | | | - Bahar Dadashova
- Texas A&M Transportation Institute (TTI), Texas A&M University, Texas, USA.
| | - Xinyue Ye
- Texas A&M Transportation Institute (TTI), Texas A&M University, Texas, USA; Department of Landscape Architecture and Urban Planning, School of Architecture, Texas A&M University, Texas, USA
| | - Soheil Sohrabi
- Safe Transportation Research and Education Center (SafeTREC), University of California, Berkeley, California, USA
| | - Ingrid Potts
- Texas A&M Transportation Institute (TTI), Texas A&M University, Texas, USA
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Voinea GD, Boboc RG, Buzdugan ID, Antonya C, Yannis G. Texting While Driving: A Literature Review on Driving Simulator Studies. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4354. [PMID: 36901364 PMCID: PMC10001711 DOI: 10.3390/ijerph20054354] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 02/23/2023] [Accepted: 02/25/2023] [Indexed: 06/18/2023]
Abstract
Road safety is increasingly threatened by distracted driving. Studies have shown that there is a significantly increased risk for a driver of being involved in a car crash due to visual distractions (not watching the road), manual distractions (hands are off the wheel for other non-driving activities), and cognitive and acoustic distractions (the driver is not focused on the driving task). Driving simulators (DSs) are powerful tools for identifying drivers' responses to different distracting factors in a safe manner. This paper aims to systematically review simulator-based studies to investigate what types of distractions are introduced when using the phone for texting while driving (TWD), what hardware and measures are used to analyze distraction, and what the impact of using mobile devices to read and write messages while driving is on driving performance. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews (PRISMA-ScR) guidelines. A total of 7151 studies were identified in the database search, of which 67 were included in the review, and they were analyzed in order to respond to four research questions. The main findings revealed that TWD distraction has negative effects on driving performance, affecting drivers' divided attention and concentration, which can lead to potentially life-threatening traffic events. We also provide several recommendations for driving simulators that can ensure high reliability and validity for experiments. This review can serve as a basis for regulators and interested parties to propose restrictions related to using mobile phones in a vehicle and improve road safety.
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Affiliation(s)
- Gheorghe-Daniel Voinea
- Department of Automotive and Transport Engineering, Transilvania University of Brașov, 29 Eroilor Blvd., 500036 Brasov, Romania
| | - Răzvan Gabriel Boboc
- Department of Automotive and Transport Engineering, Transilvania University of Brașov, 29 Eroilor Blvd., 500036 Brasov, Romania
| | - Ioana-Diana Buzdugan
- Department of Automotive and Transport Engineering, Transilvania University of Brașov, 29 Eroilor Blvd., 500036 Brasov, Romania
| | - Csaba Antonya
- Department of Automotive and Transport Engineering, Transilvania University of Brașov, 29 Eroilor Blvd., 500036 Brasov, Romania
| | - George Yannis
- Department of Transportation Planning and Engineering, National Technical University of Athens, 5 Heroon Polytechniou str., GR-15773 Athens, Greece
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Body mass dynamics in wintering mallards (Anas platyrhynchos) in the Lower Mississippi Alluvial Valley. Glob Ecol Conserv 2023. [DOI: 10.1016/j.gecco.2023.e02368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
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Marchese C, Dubois S, Martin L, Weaver B, Bédard M. Distraction impairs drivers of all ages: A cross-sectional analysis of fatal crashes in the United States. TRAFFIC INJURY PREVENTION 2022; 23:465-470. [PMID: 36166732 DOI: 10.1080/15389588.2022.2123221] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 07/15/2022] [Accepted: 07/27/2022] [Indexed: 06/16/2023]
Abstract
Objective: The objective of this study was to examine the association between distracted driving and crash responsibility across the whole age span after adjusting for several driver characteristics and the potential influence of alcohol and drugs.Methods: Using data from the Fatality Analysis Reporting System for the years 2010 to 2019, we estimated the association between distracted driving and crash responsibility in drivers (of passenger-type vehicles) aged 20 and older, with a confirmed blood alcohol concentration of zero, and who tested negative for drugs (n = 33,513). We operationalized crash responsibility as having one or more unsafe driving action (UDA) recorded.Results: In total, slightly under 9% of the drivers examined were coded as distracted. The most common UDA among distracted drivers was a failure to yield right of way (23.4% vs. 14.2% for non-distracted drivers). Driving distracted was associated with higher odds of an UDA for drivers of all ages (overall OR = 1.46, 95% CI = 1.24, 1.73).Conclusions: Distracted driving affects drivers of all ages. Given that distracted driving is highly preventable, we must increase our prevention efforts.
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Affiliation(s)
- Carlina Marchese
- Centre for Research on Safe Driving, Lakehead University, Thunder Bay, Canada
- Department of Health Sciences, Lakehead University, Thunder Bay, Canada
| | - Sacha Dubois
- Centre for Research on Safe Driving, Lakehead University, Thunder Bay, Canada
- Centre for Applied Health Research, St. Joseph's Care Group, Thunder Bay, Canada
- School of Nursing, Lakehead University, Thunder Bay, Canada
- Human Sciences Division, Northern Ontario School of Medicine University, Sudbury, Canada
| | - Lynn Martin
- Department of Health Sciences, Lakehead University, Thunder Bay, Canada
- Enhancing Prevention of Injury and Disability @ Work (EPID@Work) Research Institute, Lakehead University, Thunder Bay, Canada
| | - Bruce Weaver
- Centre for Research on Safe Driving, Lakehead University, Thunder Bay, Canada
- Department of Health Sciences, Lakehead University, Thunder Bay, Canada
- Human Sciences Division, Northern Ontario School of Medicine University, Sudbury, Canada
| | - Michel Bédard
- Centre for Research on Safe Driving, Lakehead University, Thunder Bay, Canada
- Department of Health Sciences, Lakehead University, Thunder Bay, Canada
- Centre for Applied Health Research, St. Joseph's Care Group, Thunder Bay, Canada
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Guo F, Lu D. How many crashes does cellphone use contribute to? Population attributable risk of cellphone use while driving. JOURNAL OF SAFETY RESEARCH 2022; 82:385-391. [PMID: 36031268 DOI: 10.1016/j.jsr.2022.07.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 04/21/2022] [Accepted: 07/11/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Cellphone distraction is a major contributing factor for traffic crashes, a leading cause of death worldwide. The novel naturalistic driving study (NDS) study with continuously collected in situ driving videos provides an opportunity to accurately estimate the safety impact of cellphone distraction. METHODS We apply a case-cohort study design to the Second Strategic Highway Research Program NDS, the largest NDS up-to-date with more than 3400 participants. The data include with 842 level 1-3 crashes and 19,338 randomly selected control driving segments. We propose a partial Population Attributable Risk (PAR) estimator that provides consistent and stable estimation over time and across different driving behaviors. RESULTS The US population-adjusted PAR show that 8% of crashes (PAR = 0.08, 95 %CI: [0.06, 0.19]) can be reduced if cellphone distraction were switched to sober, alert, and attentive driving behavior. Young adults (age 20-29 years) and middle-aged drivers (age 30-64 years) each contribute 39% of the population level PAR. Within each age group, the PARs vary substantially from 18% for young adult drivers to 5% for middle-aged drivers. The contribution of cellphone visual-manual tasks to crashes is more than 4 times larger than cellphone talking and accounts for 87.5% of cellphone-related crashes (PAR = 0.07). CONCLUSIONS Cellphone distraction contributes to a considerable part of crashes. Young drivers are more susceptible to the influence of cellphone distraction and visual-manual distraction accounts for the majority of cellphone-related crashes.
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Affiliation(s)
- Feng Guo
- Virginia Tech Transportation Institute, 3500 Transportation Research Plaza, Blacksburg, VA 24061, United States; Department of Statistics, Virginia Tech, Blacksburg, VA 24061, United States.
| | - Danni Lu
- Department of Statistics, Virginia Tech, Blacksburg, VA 24061, United States
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Boboc RG, Voinea GD, Buzdugan ID, Antonya C. Talking on the Phone While Driving: A Literature Review on Driving Simulator Studies. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191710554. [PMID: 36078267 PMCID: PMC9517811 DOI: 10.3390/ijerph191710554] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 08/12/2022] [Accepted: 08/20/2022] [Indexed: 05/13/2023]
Abstract
Distracted driving is a growing concern around the world and has been the focus of many naturalistic and simulator-based studies. Driving simulators provide excellent practical and theoretical help in studying the driving process, and considerable efforts have been made to prove their validity. This research aimed to review relevant simulator-based studies focused on investigating the effects of the talking-on-the-phone-while-driving distraction on drivers' behavior. This work is a scoping review which followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews (PRISMA-ScR) guidelines. The search was performed on five databases, covering twenty years of research results. It was focused on finding answers to three research questions that could offer an overview of the main sources of distraction, the research infrastructure, and the measures that were used to analyze and predict the effects of distractions. A number of 4332 studies were identified in the database search, from which 83 were included in the review. The main findings revealed that TPWD distraction negatively affects driving performance, exposing drivers to dangerous traffic situations. Moreover, there is a general understanding that the driver's cognitive, manual, visual, and auditory resources are all involved, to a certain degree, when executing a secondary task while driving.
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