Literature DB >> 15078303

Risk perceptions of mobile phone use while driving.

Mathew P White1, J Richard Eiser, Peter R Harris.   

Abstract

Numerous governments have introduced regulations governing the use of mobile (cellular) telephones while driving. Despite significant research into the "objective" risks, there is relatively little research into risk perceptions either in relation to other in-car distractions or with respect to the factors underlying such perceptions. The current article reports on two studies addressing these issues. Study 1 (N= 199) found that whereas the use of hand-held sets is seen as one of the riskiest activities to perform while driving, the risks of using a hands-free kit are perceived to be relatively small. Study 2 (N= 1,320) found that nearly half of all drivers in the sample with a mobile phone reported having used it while driving and that, overall, the probability of having an accident was perceived to be less for oneself than for one's peers, indicating an optimistic bias. Two factors underpinned risk perceptions, "impact" including perceived severity and equitability, and "controllability" including immediacy, detectability, and probability. While higher "impact" scores were associated with increased preferences for restrictions on the use of hand-held mobiles while driving, the "controllability" scores moderated this relationship such that when perceived "controllability" was low, restriction preferences were high irrespective of perceived "impact." However, when "controllability" was high, restriction preferences remained high when "impact" was high but were low when "impact" was low. Given the growing number of in-car technological innovations, it is suggested that regulators act strategically, rather than finding themselves developing a series of "hazard-specific" regulations, which may ultimately lack coherence.

Mesh:

Year:  2004        PMID: 15078303     DOI: 10.1111/j.0272-4332.2004.00434.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  19 in total

1.  Road casualties and changes in risky driving behavior in France between 2001 and 2004 among participants in the GAZEL cohort.

Authors:  Aymery Constant; Louis Rachid Salmi; Sylviane Lafont; Mireille Chiron; Emmanuel Lagarde
Journal:  Am J Public Health       Date:  2008-10-15       Impact factor: 9.308

2.  Novice drivers' risky driving behavior, risk perception, and crash risk: findings from the DRIVE study.

Authors:  Rebecca Ivers; Teresa Senserrick; Soufiane Boufous; Mark Stevenson; Huei-Yang Chen; Mark Woodward; Robyn Norton
Journal:  Am J Public Health       Date:  2009-07-16       Impact factor: 9.308

3.  Terrain Perception Using Wearable Parrot-Inspired Companion Robot, KiliRo.

Authors:  Jaishankar Bharatharaj; Loulin Huang; Ahmed M Al-Jumaily; Senthil Kumar Sasthan Kutty; Chris Krägeloh
Journal:  Biomimetics (Basel)       Date:  2022-06-14

4.  Risk levels for suffering a traffic injury in primary health care. The LESIONAT project.

Authors:  Carlos Martín-Cantera; Daniel Prieto-Alhambra; Lydia Roig; Susana Valiente; Katherine Perez; Luis Garcia-Ortiz; Jordi Bel; Fernando Marques; Xavier Mundet; Xavier Bonafont; Marti Birules; Núria Soldevila; Elena Briones
Journal:  BMC Public Health       Date:  2010-03-16       Impact factor: 3.295

5.  Mechanisms behind distracted driving behavior: The role of age and executive function in the engagement of distracted driving.

Authors:  Caitlin Northcutt Pope; Tyler Reed Bell; Despina Stavrinos
Journal:  Accid Anal Prev       Date:  2016-10-05

6.  The Belief and Attitude of the Drivers Toward the Usage of Cellphone while Driving; A Population-Based Survey.

Authors:  Batoul Sedaghati Shokri; Seyed Rasoul Davoodi; Majid Azimmohseni; Gholamreza Khoshfar
Journal:  Bull Emerg Trauma       Date:  2017-10

7.  The effects of self-report cognitive failures and cognitive load on antisaccade performance.

Authors:  Nick Berggren; Samuel B Hutton; Nazanin Derakshan
Journal:  Front Psychol       Date:  2011-10-25

8.  Self-reported dependence on mobile phones in young adults: A European cross-cultural empirical survey.

Authors:  Olatz Lopez-Fernandez; Daria J Kuss; Lucia Romo; Yannick Morvan; Laurence Kern; Pierluigi Graziani; Amélie Rousseau; Hans-Jürgen Rumpf; Anja Bischof; Ann-Kathrin Gässler; Adriano Schimmenti; Alessia Passanisi; Niko Männikkö; Maria Kääriänen; Zsolt Demetrovics; Orsolya Király; Mariano Chóliz; Juan José Zacarés; Emilia Serra; Mark D Griffiths; Halley M Pontes; Bernadeta Lelonek-Kuleta; Joanna Chwaszcz; Daniele Zullino; Lucien Rochat; Sophia Achab; Joël Billieux
Journal:  J Behav Addict       Date:  2017-04-20       Impact factor: 6.756

9.  Risk factors of mobile phone use while driving in Queensland: Prevalence, attitudes, crash risk perception, and task-management strategies.

Authors:  Oscar Oviedo-Trespalacios; Mark King; Md Mazharul Haque; Simon Washington
Journal:  PLoS One       Date:  2017-09-06       Impact factor: 3.240

Review 10.  Description of Various Factors Contributing to Traffic Accidents in Youth and Measures Proposed to Alleviate Recurrence.

Authors:  Ludovic Gicquel; Pauline Ordonneau; Emilie Blot; Charlotte Toillon; Pierre Ingrand; Lucia Romo
Journal:  Front Psychiatry       Date:  2017-06-01       Impact factor: 4.157

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