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Abstract:
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One common goal in traffic safety research is to evaluate the effectiveness of a safety treatment or intervention such as changes in the paint pattern. Causal inference methods under the Rubin Causal Model such as the propensity score methods are natural for such purposes, but they have been rarely used until recently. In this talk, I will review the current state of the use of causal inference methods in traffic safety research, and make connections between some of the widely used methods such as the empirical Bayesian approach in the two fields. I will also attempt to point out related challenges and opportunities for statisticians and traffic safety researchers.
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