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Towards quantifying road risk: A case of distracted driving

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dc.contributor.author Muronga, Khangwelo
dc.contributor.author Botha, Rika
dc.contributor.author Venter, Karien
dc.contributor.author Sinclair, M
dc.date.accessioned 2018-11-28T13:01:06Z
dc.date.available 2018-11-28T13:01:06Z
dc.date.issued 2018-10
dc.identifier.citation Muronga, K. et al. 2018. Towards quantifying road risk: A case of distracted driving. International Road Federation/ South African Road Federation Conference, 7-9 October 2018, Durban ICC, South Africa en_US
dc.identifier.uri http://www.sarf-irf2018.co.za/papers/
dc.identifier.uri http://www.sarf-irf2018.co.za/wp-content/uploads/2018/10/Venter-K.pdf
dc.identifier.uri http://hdl.handle.net/10204/10549
dc.description Paper presented at the International Road Federation/ South African Road Federation Conference, 7-9 October 2018, Durban ICC, Durban, South Africa en_US
dc.description.abstract Despite the current road safety situation in South Africa, to date it has been difficult to quantify the degree to which road users in South Africa are at risk of being involved in road traffic crashes. Naturalistic driving studies investigate driver behaviour within the driving context, over a long-term. The expectation is that the behaviour observed over this period of time will be reflective of behaviour over a longer time which will provide insight into factors associated with crash causation, near-misses and incidents. The result is detailed data that gives insight into driver behaviour over a long term. The benefit of this methodology is that in addition to “big” events such as crashes, near-misses and so forth, data pertaining to mostly unreported or seemingly insignificant events is also recoded and available for analysis. This study made use of naturalistic driving data collected from four primary drivers in 2014 to conduct a further analysis of an additional two hours of data previously collected for experienced drivers considering prevalence, type, frequency and duration of distracted driving behaviour in urban areas. The purpose of the exercise was to further expand the use of the NDS methodology by adding additional coders, independently verify the results from coders in order to show that it is possible to quantify and measure unsafe road usage in South Africa. en_US
dc.language.iso en en_US
dc.relation.ispartofseries Worklist;21726
dc.subject South African road safety en_US
dc.subject Distracted driving en_US
dc.subject Driver behaviour en_US
dc.subject Road safety en_US
dc.title Towards quantifying road risk: A case of distracted driving en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Muronga, K., Botha, R., Venter, K., & Sinclair, M. (2018). Towards quantifying road risk: A case of distracted driving. http://hdl.handle.net/10204/10549 en_ZA
dc.identifier.chicagocitation Muronga, Khangwelo, Rika Botha, Karien Venter, and M Sinclair. "Towards quantifying road risk: A case of distracted driving." (2018): http://hdl.handle.net/10204/10549 en_ZA
dc.identifier.vancouvercitation Muronga K, Botha R, Venter K, Sinclair M, Towards quantifying road risk: A case of distracted driving; 2018. http://hdl.handle.net/10204/10549 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Muronga, Khangwelo AU - Botha, Rika AU - Venter, Karien AU - Sinclair, M AB - Despite the current road safety situation in South Africa, to date it has been difficult to quantify the degree to which road users in South Africa are at risk of being involved in road traffic crashes. Naturalistic driving studies investigate driver behaviour within the driving context, over a long-term. The expectation is that the behaviour observed over this period of time will be reflective of behaviour over a longer time which will provide insight into factors associated with crash causation, near-misses and incidents. The result is detailed data that gives insight into driver behaviour over a long term. The benefit of this methodology is that in addition to “big” events such as crashes, near-misses and so forth, data pertaining to mostly unreported or seemingly insignificant events is also recoded and available for analysis. This study made use of naturalistic driving data collected from four primary drivers in 2014 to conduct a further analysis of an additional two hours of data previously collected for experienced drivers considering prevalence, type, frequency and duration of distracted driving behaviour in urban areas. The purpose of the exercise was to further expand the use of the NDS methodology by adding additional coders, independently verify the results from coders in order to show that it is possible to quantify and measure unsafe road usage in South Africa. DA - 2018-10 DB - ResearchSpace DP - CSIR KW - South African road safety KW - Distracted driving KW - Driver behaviour KW - Road safety LK - https://researchspace.csir.co.za PY - 2018 T1 - Towards quantifying road risk: A case of distracted driving TI - Towards quantifying road risk: A case of distracted driving UR - http://hdl.handle.net/10204/10549 ER - en_ZA


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