Analysis of Private Drivers’ Commuting and Commercial Drivers’ Work-Related Travel Behavior

Abstract

An analysis of private and commercial drivers’ information requirements for an advanced traveler information system (ATIS) is presented. The analysis is based on data from two nationwide surveys, one addressing private drivers’ needs and the other addressing commercial drivers’ needs. In these surveys, drivers rated the importance of four trip factors: (a) increasing trip safety, (b) decreasing trip time, (c) reducing trip distance, and (d) increasing trip enjoyment. Cluster analysis techniques were employed to identify groupings in the driver population on the basis of trip factors, and a multinomial logit approach was used to predict the probability of the drivers being placed in a specific cluster group. The results indicate that significant differences in trip behavior and socio-economic characteristics exist among the observed cluster groups.

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