Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ssci.2012.03.002
Title: Methodological application of system dynamics for evaluating traffic safety policy
Authors: Goh, Y.M. 
Love, P.E.D.
Keywords: Experimentation
Simulation
System dynamics
Traffic safety policy
Issue Date: Aug-2012
Source: Goh, Y.M., Love, P.E.D. (2012-08). Methodological application of system dynamics for evaluating traffic safety policy. Safety Science 50 (7) : 1594-1605. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ssci.2012.03.002
Abstract: System dynamics (SDs) is a methodology that can be used to understand the behavior and dynamics of complex systems over time. SD utilizes a range of tools and techniques such as influence and causal loop diagrams, computer simulation and optimization. SD has been used to facilitate the analysis of complex physical and social systems, e.g. water resources, climate change and industrial accidents. One of the key reasons for its growing popularity is that it allows policy experimentation and facilitates the discussion of 'what-if' scenarios. Within the realm of road traffic research, SD has been primarily used to examine micro level issues such as the interactions between the driver, infrastructure and the vehicle. Even though such micro level analysis are important, macro traffic safety policies can create more sustainable systems that pre-empt safety issues and reduce likelihood of traffic accidents. This paper develops two models to demonstrate how the methodology of SD can facilitate and encourage macro and meso level analysis of traffic safety policy. The first model is used to assess policy options so as to encourage the purchase of cars with higher safety ratings. The second model, is used to evaluate the impact of public transport policies on travel time and traffic safety considerations. The strength and weaknesses of the SD methodology in road transport/safety analysis are also examined. It is suggested that SD is most appropriate for formulating macro level policy as it can account for the dynamic complexity associated with the road transport system. © 2012 Elsevier Ltd.
Source Title: Safety Science
URI: http://scholarbank.nus.edu.sg/handle/10635/65800
ISSN: 09257535
DOI: 10.1016/j.ssci.2012.03.002
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