This article seeks to explain the recent growth in the adoption of air bags in new automobiles. Our analysis focuses on market forces, that is, consumers' willingness to pay for air bags and automakers' responsiveness to consumers' willingness to pay. We find that air bags were offered by...

Policymakers could implement available, well-tested technologies to improve the efficiency of highway pricing, investment, and operations, which would improve travel speeds, reliability, and safety and reduce highway expenditures. Unfortunately, political and bureaucratic impediments to...

Statisticians along with other scientists have made significant computational advances that enable the estimation of formerly complex statistical models. The Bayesian inference framework combined with Markov chain Monte Carlo estimation methods such as the Gibbs sampler enable the estimation of...

Gaining a better understanding of the factors that affect the likelihood of a vehicle crash has been an area of research focus for many decades. However, in the absence of detailed driving data that would help improve the identification of cause and effect relationships with individual vehicle...

In this article we develop a dynamic model of household vehicle ownership and utilization behavior by using data that were generated before, during, and after the 1979 energy crisis. The principal empirical findings are that households have maintained a distinct preference for American over...

The statistical analysis of highway incident duration has become an increasingly import research topic due to the impact that highway incidents (vehicle accidents and disablements) have on traffic congestion. In addition, there is a growing need to evaluate incident management programs that seek...

This paper attempts to macroscopically address endogeneity issues related to lane-mean traffic speeds and lane-speed deviations. Methodologically, we seek to provide a better understanding of mean speeds and speed deviations across the lanes of a multilane highway. In so doing, the work may...