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Modeling the Complexity of Road Accidents Prevention: A System Dynamics Approach

Modeling the Complexity of Road Accidents Prevention: A System Dynamics Approach

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dc.contributor.author Alex Kizito
dc.contributor.author Agnes Rwashana Semwanga
dc.date.accessioned 2021-01-10T11:55:54Z
dc.date.available 2021-01-10T11:55:54Z
dc.date.issued 2020
dc.identifier.issn 21609772
dc.identifier.issn 21609799
dc.identifier.uri https://combine.alvar.ug/handle/1/49276
dc.description.abstract Simplistic representations of traffic safety disregard the dynamic interactions between the components of the road transport system (RTS). The resultant road accident (RA) preventive measures are consequently focused almost solely on individual/team failures at the sharp end of the RTS (mainly the road users). The RTS is complex and therefore cannot be easily understood by studying the system parts in isolation. The study modeled the occurrence of road accidents in Uganda using the dynamic synthesis methodology (DSM). This article presents the work done in the first three stages of the DSM. Data was collected from various stakeholders including road users, traffic police officers, road users, and road constructors. The study focused on RA prevention by considering the linear and non-linear interactions of the variables during the pre-crash phase. Qualitative models were developed and from these, key leverage points that could possibly lower the road accident incidences demonstrating the need for a shared system wide responsibility for road safety at all levels are suggested.
dc.publisher IGI Global
dc.relation.ispartof International Journal of System Dynamics Applications
dc.title Modeling the Complexity of Road Accidents Prevention: A System Dynamics Approach
dc.type journal article
dc.identifier.doi 10.4018/ijsda.2020040102
dc.identifier.mag 3003585326
dc.identifier.lens 104-188-970-268-058
dc.identifier.volume 9
dc.identifier.issue 2
dc.identifier.spage 24
dc.identifier.epage 41
dc.subject.lens-fields Risk analysis (engineering)
dc.subject.lens-fields Accidents prevention
dc.subject.lens-fields Computer science
dc.subject.lens-fields System dynamics


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