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Richard Tay

Researcher at RMIT University

Publications -  225
Citations -  5285

Richard Tay is an academic researcher from RMIT University. The author has contributed to research in topics: Poison control & Crash. The author has an hindex of 36, co-authored 220 publications receiving 4563 citations. Previous affiliations of Richard Tay include Canterbury of New Zealand & Queensland University of Technology.

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A Multinomial Logit Model of Pedestrian-Vehicle Crash Severity

TL;DR: In this article, a multinomial logit model was used to identify the factors determining the severity of pedestrian-vehicle crashes in South Korea, and the results showed that relative to minor crashes, fatal and serious crashes were associated with collisions involving heavy vehicles; drivers who were drunk, male or under the age of 65; pedestrians who were over 65 or female.
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A latent segmentation based generalized ordered logit model to examine factors influencing driver injury severity

TL;DR: In this article, an econometric model, referred to as the latent segmentation based generalized ordered logit (LSGOL) model, was proposed for examining driver injury severity.
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Effect of street pattern on the severity of crashes involving vulnerable road users.

TL;DR: The results showed that compared to other street patterns, loops and lollipops design increases the probability of an injury but reduces the possibility of fatality and property-damage-only in an event of a crash.
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The effectiveness of enforcement and publicity campaigns on serious crashes involving young male drivers: Are drink driving and speeding similar?

TL;DR: This paper evaluated the effectiveness of the anti-drink driving and anti-speeding enforcement and publicity campaigns implemented in the Australian State of Victoria which have thus far yielded mixed results in several evaluations.
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The role of fear appeals in improving driver safety: A review of the effectiveness of fear-arousing (threat) appeals in road safety advertising.

TL;DR: In this paper, the authors review theoretical and empirical evidence relating to the effectiveness of fear appeals in improving driver safety and highlight the mixed and inconsistent findings that have been reported in the literature.