The interaction between traffic accidents and household vehicle ownership decisions has
not been thoroughly explored in literature. This interaction is worthy of investigation as the …

Empirical studies on household car ownership have used two types of discrete choice
modeling structures: ordered and unordered. In ordered response structures, such as the …

A mathematical model developed to predict automobile ownership for individual households
residing in New York City is presented. This effort is distinguished from previous …

Recent studies in the area of highway safety have demonstrated the usefulness of logit
models for modeling crash injury severities. Use of these models enables one to identify and …

Household vehicle ownership analysis is an important and emerging topic in transportation
research. Transportation researchers are interested in examining policy scenarios that can …

This paper uses a heteroscedastic ordered logit model to study the effects of various vehicle,
environmental, roadway and occupant characteristics on the severity of injuries sustained by …

This research develops a mixed logit model of driver-injury severity in single-vehicle crashes
in California. The research especially considers the heterogeneous effects of age and …

This paper seeks to investigate the effects of passengers on driver-injury severities. Using
single-vehicle crashes, a random parameters logit model with heterogeneity in parameter …

A heteroscedastic ordered logit model was used to study the effects of various vehicle,
environmental, roadway, and occupant characteristics on the severity of injuries sustained …

This paper presents statistical evidence showing how variations in the attributes of road
users can lead to variations in the probabilities of sustaining different levels of injury in motor …