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Who uses a mobile phone while driving for food delivery? The role of personality, risk perception, and driving self-efficacy

https://doi.org/10.1016/j.jsr.2020.02.014
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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inferredcites →https://doi.org/10.1016/b978-0-12-718670-2.50011-6openalex-snapshot
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Extent and variations in mobile phone use among drivers of heavy vehicles in Denmark
inferredcites →https://doi.org/10.1016/j.aap.2007.04.004openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.aap.2008.07.005openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.aap.2009.01.006openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.aap.2009.12.024openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.aap.2010.01.019openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.aap.2010.03.015openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.aap.2010.08.003openalex-snapshot
The choice to text and drive in younger drivers: Behavior may shape attitude
inferredcites →https://doi.org/10.1016/j.aap.2010.11.006openalex-snapshot
Cell phone conversing while driving in New Zealand: Prevalence, risk perception and legislation
inferredcites →https://doi.org/10.1016/j.aap.2011.04.008openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.aap.2014.04.014openalex-snapshot
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Personality and attitudes as predictors of risky driving among older drivers
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Gender differences in psychosocial predictors of texting while driving
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The role of personality traits and driving experience in self-reported risky driving behaviors and accident risk among Chinese drivers
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Texting while driving, executive function, and impulsivity in college students
inferredcites →https://doi.org/10.1016/j.aap.2017.03.016openalex-snapshot
Effect of personality traits, age and sex on aggressive driving: Psychometric adaptation of the Driver Aggression Indicators Scale in China
inferredcites →https://doi.org/10.1016/j.aap.2017.04.014openalex-snapshot
Adolescent and adult drivers’ mobile phone use while driving with different interlocutors
inferredcites →https://doi.org/10.1016/j.aap.2018.01.031openalex-snapshot
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Mobile phone involvement, beliefs, and texting while driving in Ukraine
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Personality and self reported mobile phone use
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Texting while driving on automatic: Considering the frequency-independent side of habit
inferredcites →https://doi.org/10.1016/j.chb.2017.07.023openalex-snapshot
Smartphone use while driving: What factors predict young drivers' intentions to initiate, read, and respond to social interactive technology?
inferredcites →https://doi.org/10.1016/j.jsr.2004.06.003openalex-snapshot
Effects of naturalistic cell phone conversations on driving performance
inferredcites →https://doi.org/10.1016/j.jsr.2007.09.006openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.jsr.2013.03.002openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.jth.2018.04.001openalex-snapshot
The role of beliefs in the use of hands-free and handheld mobile phones while driving
inferredcites →https://doi.org/10.1016/j.paid.2006.03.016openalex-snapshot
The Big Five factors, sensation seeking, and driving anger in the prediction of unsafe driving
inferredcites →https://doi.org/10.1016/j.ssci.2005.12.003openalex-snapshot
The effects of personality and gender on risky driving behaviour and accident involvement
inferredcites →https://doi.org/10.1016/j.ssci.2009.05.001openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.ssci.2015.02.011openalex-snapshot
Perceived risk of phoning while driving: A case study from Jordan
inferredcites →https://doi.org/10.1016/j.trc.2017.02.007openalex-snapshot
Modelling driver distraction effects due to mobile phone use on reaction time
inferredcites →https://doi.org/10.1016/j.tre.2014.07.011openalex-snapshot
Drivers of airline loyalty: Evidence from the business travelers in China
inferredcites →https://doi.org/10.1016/j.trf.2004.10.001openalex-snapshot
A multi-factorial framework for understanding reckless driving—appraisal indicators and perceived environmental determinants
inferredcites →https://doi.org/10.1016/j.trf.2008.02.002openalex-snapshot
Associations between self-assessment of driving ability, driver training and crash involvement among young drivers
inferredcites →https://doi.org/10.1016/j.trf.2008.11.003openalex-snapshot
Young driving learners’ intention to use a handheld or hands-free mobile phone when driving
inferredcites →https://doi.org/10.1016/j.trf.2009.08.007openalex-snapshot
The effect of cellular telephone conversation and music listening on response time in braking
inferredcites →https://doi.org/10.1016/j.trf.2009.09.004openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.trf.2010.07.002openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.trf.2011.09.001openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.trf.2012.12.014openalex-snapshot
Theory of planned behaviour and road violations: The moderating influence of perceived behavioural control
inferredcites →https://doi.org/10.1016/j.trf.2013.03.006openalex-snapshot
The prevalence of cell phone use while driving in a Canadian province
inferredcites →https://doi.org/10.1016/j.trf.2013.10.008openalex-snapshot
What’s driving illegal mobile phone use? Psychosocial influences on drivers’ intentions to use hand-held mobile phones
inferredcites →https://doi.org/10.1016/j.trf.2014.03.006openalex-snapshot
Driving construals: Personal Construct Theory in a reckless driving context
inferredcites →https://doi.org/10.1016/j.trf.2015.01.004openalex-snapshot
Exploring associations between self-reported executive functions, impulsive personality traits, driving self-efficacy, and functional abilities in driver behaviour after brain injury
inferredcites →https://doi.org/10.1016/j.trf.2015.12.003openalex-snapshot
Analysis of factors affecting drivers’ choice to engage with a mobile phone while driving in Beijing
inferredcites →https://doi.org/10.1016/j.trf.2016.09.011openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.trf.2017.01.015openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.trf.2017.04.009openalex-snapshot
Attitudes, driving behavior, and accident involvement among young male drivers in Saudi Arabia
inferredcites →https://doi.org/10.1016/j.trf.2017.04.015openalex-snapshot
Mobile phone use while driving-literary review
inferredcites →https://doi.org/10.1016/j.trf.2017.06.006openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.trf.2017.11.004openalex-snapshot
The role of legal and moral norms to regulate the behavior of texting while driving
inferredcites →https://doi.org/10.1016/j.trf.2018.03.015openalex-snapshot
Factors influencing intentions to text while driving among Polish drivers
inferredcites →https://doi.org/10.1016/j.trf.2018.05.002openalex-snapshot
Predicting intentions to text and call while driving using the theory of planned behaviour
inferredcites →https://doi.org/10.1016/j.trf.2018.09.001openalex-snapshot
The mediating role of smartphone addiction on the relationship between personality and young drivers' smartphone use while driving
inferredcites →https://doi.org/10.1016/j.trf.2019.01.014openalex-snapshot
Perceived risk and anticipated regret as factors predicting intentions to text while driving among young adults
inferredcites →https://doi.org/10.1016/s0001-4575(02)00043-xopenalex-snapshot
Wireless telephones and the risk of road crashes
inferredcites →https://doi.org/10.1016/s0001-4575(03)00010-1openalex-snapshot
The multidimensional driving style inventory—scale construct and validation
inferredcites →https://doi.org/10.1016/s0001-4575(03)00042-3openalex-snapshot
Driving performance during concurrent cell-phone use: are drivers aware of their performance decrements?
inferredcites →https://doi.org/10.1016/s0001-4575(97)00028-6openalex-snapshot
Motor vehicle accidents, fatigue and optimism bias in taxi drivers
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Venturesomeness and extraversion as correlates of juvenile drivers’ traffic violations
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Personality and accident liability: are extraversion, neuroticism and psychoticism related to traffic and occupational fatalities?
inferredcites →https://doi.org/10.1016/s0925-7535(01)00077-7openalex-snapshot
Personality, attitudes and risk perception as predictors of risky driving behaviour among young drivers
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Traffic psychology and behaviour
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Construct Validation and Psychometric Evaluation of the Self-Efficacy Scale for Driver Competence
inferredcites →https://doi.org/10.1037/1076-898x.9.1.23openalex-snapshot
Cell phone-induced failures of visual attention during simulated driving.
inferredcites →https://doi.org/10.1037/a0013119openalex-snapshot
Passenger and cell phone conversations in simulated driving.
inferredcites →https://doi.org/10.1037/a0029265openalex-snapshot
Possession attachment predicts cell phone use while driving.
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Relationships Among Self-Efficacy, Pay-for-Performance Perceptions, and Pay Satisfaction: A Korean Examination
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A Comparison of Method Effects in Two Confirmatory Factor Models for Structurally Different Methods
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Identifying the influences of demographic characteristics and personality of inveterate drunk drivers on the likelihood of driving under the influence of alcohol (DUIA) recurrence
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Safety attitudes, behaviour, anxiety and perceived control among professional and non-professional drivers
inferredcites →https://doi.org/10.1080/13669877.2014.923026openalex-snapshot
What aspects of demographic, personality, attitudes and perceptions of law enforcement influence self-reported likelihood of drink driving?
inferredcites →https://doi.org/10.1080/15389580903515427openalex-snapshot
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1016/j.tra.2022.06.001openalex-snapshot
Travel satisfaction of delivery electric two-wheeler riders: Evidence from Nanjing, China
inferred← citeshttps://doi.org/10.1016/j.tra.2022.11.002openalex-snapshot
Factors influencing road safety compliance among food delivery riders: An extension of the job demands-resources (JD-R) model
inferred← citeshttps://doi.org/10.1016/j.tranpol.2023.10.022openalex-snapshot
Understanding risky driving among motorized two-wheeler drivers: The role of time-related anxiety and impunctuality
inferred← citeshttps://doi.org/10.1016/j.trf.2021.04.010openalex-snapshot
An observational study on the risk behaviors of electric bicycle riders performing meal delivery at urban intersections in China
inferred← citeshttps://doi.org/10.1016/j.trf.2022.03.003openalex-snapshot
Implicit theories in driving: Scale development, validation, and predictive role on violations and driving self-efficacy
inferred← citeshttps://doi.org/10.1016/j.trf.2023.12.007openalex-snapshot
Analysis of factors influencing aberrant riding behavior of food delivery riders: A perspective on safety attitude and risk perception
inferred← citeshttps://doi.org/10.1016/j.trf.2025.103452openalex-snapshot
Why do young drivers respond to their smartphones while driving? Examining the predictive power of the theory of planned behaviour and Big 5 personality factors
inferred← citeshttps://doi.org/10.1016/j.trf.2025.103490openalex-snapshot
Investigating factors influencing different types of risky mobile phone use among delivery riders: Using work-related apps, calling, and using navigation apps
inferred← citeshttps://doi.org/10.1016/j.trf.2026.103622openalex-snapshot
Motorcycle safety in Vietnam: Revising and expanding the MRBQ to reflect emerging urban risks
inferred← citeshttps://doi.org/10.1016/j.trf.2026.103695openalex-snapshot
Examining risky riding behaviours among food delivery riders: A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.trip.2024.101200openalex-snapshot
Assessment of the sustainability of online food delivery from the perspective of CO2 emissions and transport intensity: A case study in Jakarta
inferred← citeshttps://doi.org/10.1016/j.trip.2026.101962openalex-snapshot
The invisible hand of the app: The role of platform operational rules in fostering risky rider behaviour in food delivery
inferred← citeshttps://doi.org/10.1038/s41598-026-43663-wopenalex-snapshot
Determinants of delivery rider disability severity based on judicial adjudication records in China
inferred← citeshttps://doi.org/10.1061/(asce)co.1943-7862.0002215openalex-snapshot
How Leaders and Coworkers Affect Construction Workers’ Safety Behavior: An Integrative Perspective
inferred← citeshttps://doi.org/10.1080/02723638.2024.2425584openalex-snapshot
Riders driving at the limit of AI: geographies of two-wheeled food delivery and traffic safety in Seoul, South Korea
inferred← citeshttps://doi.org/10.1080/10447318.2024.2376372openalex-snapshot
Synthesising the Outputs of Cognitive Work Analysis and Participatory Design Approaches to Identify Design Requirements: An Incident Reporting Tool Case Study
inferred← citeshttps://doi.org/10.1080/10686967.2026.2675301openalex-snapshot
Managing internal quality in the platform economy: Quality of work life, satisfaction, and retention among food delivery riders
inferred← citeshttps://doi.org/10.1080/10803548.2024.2335039openalex-snapshot
The effects of role stressors and smartphone interactions on delivery riders’ unsafe behaviors during the delivery process in China
inferred← citeshttps://doi.org/10.1080/15378020.2024.2401682openalex-snapshot
How do online meal delivery platforms impact restaurant employees?
inferred← citeshttps://doi.org/10.1080/19427867.2024.2368348openalex-snapshot
Exploring the impact of time pressure on motorized two-wheeler riders’ over-speeding behavior
inferred← citeshttps://doi.org/10.1080/19439962.2021.1995800openalex-snapshot
Pattern recognition from light delivery vehicle crash characteristics
inferred← citeshttps://doi.org/10.1080/21680566.2026.2621332openalex-snapshot
Classifying interaction patterns of powered two-wheelers during severe conflicts with cars at intersections: a naturalistic driving data study
inferred← citeshttps://doi.org/10.1108/jiabr-04-2025-0199openalex-snapshot
Religiosity and family takaful planning among e-hailing drivers: the mediating effect of risk perception
inferred← citeshttps://doi.org/10.1111/1742-6723.13927openalex-snapshot
Review article: DINED (Delivery‐related INjuries in the Emergency Department ) part 1: A scoping review of risk factors and injuries affecting food delivery riders
inferred← citeshttps://doi.org/10.1155/2021/1977388openalex-snapshot
Investigating Different Types of Red-Light Running Behaviors among Urban e-Bike Rider Mixed Groups
inferred← citeshttps://doi.org/10.1155/2021/9309904openalex-snapshot
Mobile Technology and Studies on Transport Behavior: A Literature Analysis, Integrated Research Model, and Future Research Agenda
inferred← citeshttps://doi.org/10.1155/2023/6643649openalex-snapshot
Local Spatial Analysis of the Crash Frequency of Food Delivery Motorcyclists vs. Nondelivery Motorcyclists in relation to Points of Interest
inferred← citeshttps://doi.org/10.12701/jyms.2025.42.51openalex-snapshot
Effect of reducing urban road speed limits on motorcyclist traffic accidents: a before-and-after study using the National Emergency Department Information System of South Korea
inferred← citeshttps://doi.org/10.13189/ms.2023.110218openalex-snapshot
A Glimpse of Nonparametric Single and Double Residual Bootstrap Method with Outliers
inferred← citeshttps://doi.org/10.1371/journal.pone.0284984openalex-snapshot
Surfing in the streets: How problematic smartphone use, fear of missing out, and antisocial personality traits are linked to driving behavior
inferred← citeshttps://doi.org/10.2139/ssrn.5802784openalex-snapshot
Understanding Risky Riding Behaviors of Food Delivery Riders in Mountainous City: Insights from Chongqing
inferred← citeshttps://doi.org/10.21608/ejcj.2020.118107openalex-snapshot
دور أحداث الحیاة الضاغطة والاتجاه نحو المخاطرة الصحیة فی التنبؤ بالتقییم الجوهری للذات لدى طلبة الجامعة
inferred← citeshttps://doi.org/10.2991/assehr.k.201214.543openalex-snapshot
An Investigation on the Food-Delivery Men Group
inferred← citeshttps://doi.org/10.3233/faia230849openalex-snapshot
Research on Risk Evolution of Online Food Delivery Platforms Based on Fuzzy Cognitive Map
inferred← citeshttps://doi.org/10.33492/jrs-d-25-3-2473868openalex-snapshot
Rush Hours: The Risky Behaviours of Food Delivery and Non-Food Delivery Motorcycle Riders
inferred← citeshttps://doi.org/10.3389/fpsyg.2021.620653openalex-snapshot
Mobile Phone Use “on the Road”: A Self-Report Study on Young Drivers
inferred← citeshttps://doi.org/10.3389/fpsyg.2022.707172openalex-snapshot
How to Measure the Safety Cognition Capability of Urban Residents? An Assessment Framework Based on Cognitive Progression Theory
inferred← citeshttps://doi.org/10.3389/fpsyg.2022.913790openalex-snapshot
Why take the risk? Exploring the psychosocial determinants of floodwater driving
inferred← citeshttps://doi.org/10.3389/fpsyg.2023.1131076openalex-snapshot
Risk perception of COVID-19 and its related factors among centralized medical isolation groups in China
inferred← citeshttps://doi.org/10.3389/fpubh.2022.907474openalex-snapshot
Study on Instant Delivery Service Riders' Safety and Health by the Effects of Labour Intensity in China: A Mediation Analysis
inferred← citeshttps://doi.org/10.3389/fpubh.2022.974488openalex-snapshot
Reducing traffic violations in the online food delivery industry—A case study in Xi'an City, China
inferred← citeshttps://doi.org/10.3390/su12145528openalex-snapshot
Review of Online Food Delivery Platforms and their Impacts on Sustainability
inferred← citeshttps://doi.org/10.3390/su15010655openalex-snapshot
How Does Personality Affect COVID-19 Pandemic Travel Risk Perceptions and Behaviors? Evidence from Segment Analysis in Taiwan
inferred← citeshttps://doi.org/10.3390/su15108084openalex-snapshot
Assessing CO2 Emissions of Online Food Delivery in Japan
inferred← citeshttps://doi.org/10.3390/su151713094openalex-snapshot
Analyzing Takeaway E-Bikers’ Risky Riding Behaviors and Formation Mechanism at Urban Intersections with the Structural Equation Model
inferred← citeshttps://doi.org/10.3390/su151713213openalex-snapshot
Assessment of Impacts and Resilience of Online Food Services in the Post-COVID-19 Era
inferred← citeshttps://doi.org/10.3390/systems13040261openalex-snapshot
Understanding Electric Bike Accidents Through Safe System Approach in Guangzhou, China: A Mixed-Methods Study
inferred← citeshttps://doi.org/10.70675/68708209z5793z4021zad89z60803987e91fopenalex-snapshot
Analyse interdisciplinaire des comportements à risque de l’automobiliste : profils psychologiques et utilisation des capacités dynamiques des véhicules
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