2018
DOI: 10.1016/j.aap.2018.04.012
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Cost benefit study of a safety campaign’s impact on road safety

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Cited by 9 publications
(5 citation statements)
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“…However, being such a recurrent and common tool, that small added effort can provide very relevant information that would allow improving the following campaigns, thus reducing their actual cost [46,74]. In addition, investment in designing more effective campaigns also reduces the economic and personal costs resulting from traffic accidents [75,76]. Therefore, this is a necessary and ultimately recoverable investment.…”
Section: Discussionmentioning
confidence: 99%
“…However, being such a recurrent and common tool, that small added effort can provide very relevant information that would allow improving the following campaigns, thus reducing their actual cost [46,74]. In addition, investment in designing more effective campaigns also reduces the economic and personal costs resulting from traffic accidents [75,76]. Therefore, this is a necessary and ultimately recoverable investment.…”
Section: Discussionmentioning
confidence: 99%
“…Presently, the most commonly seen cointegration tests include the Engle-Granger cointegration test [28], the Johansen's cointegration test [29] and the Autoregressive distributed lag (ARDL) bound test [30]. The former two approaches are more suitable for data with large sample sizes, which require the time series to be cointegrated of order 1 or 0, that is, all variables must be I(0) or I (1). Comparatively, the ARDL bound test entails lower requirements on sample sizes, and its robustness is not affected by small sample sizes.…”
Section: Empirical Analysismentioning
confidence: 99%
“…Road safety performance represents one of the most fundamental indicators for the maturity of a motorized society across the world [1]. Despite people's longtime commitment to higher road safety performance and lower traffic accident rates, traffic accidents are still one of the major public safety issues.…”
Section: Introductionmentioning
confidence: 99%
“…In this section, to search for unknown structural breaks, the Quandt likelihood ratio (QLR) statistics (with a critical value of 3.66 at 5%) will be considered, following the procedures proposed by Torres-Reyna [24], Stock and Watson [25] and Stata [26]. With the QLR statistics the intention is to find the main break over a period of time, considering a specific critical value [27].…”
Section: Finding Unknown Structural Breaksmentioning
confidence: 99%