Measurement of Cycling Risk and Quantitative Policy
(2018)
Presentation / Conference Contribution
Meade, S., Stewart, K., & Maher, M. (2018, May). Measurement of Cycling Risk and Quantitative Policy. Paper presented at Scottish Transport Applications and Research (STAR) Conference 2018, Glasgow
The SiN (Safety-in-numbers) effect has become prevalent within cycling research in recent years and describes the phenomenon whereby cycling accident risk may fall when the volume of cyclists increases. Such an effect is clearly attractive to policy... Read More about Measurement of Cycling Risk and Quantitative Policy.