Non-motorized travel in the San Francisco Bay Area: an exploratory analysis

The research in this thesis uses the 2000 San Francisco Bay Area Travel Survey (BATS) data acquired from the Metropolitan Transportation Commission (MTC) to conduct exhaustive exploratory analyses and estimate discrete choice models to understand the travel mode choice of an individual with a primary focus on non-motorized modes of travel. A multinomial logit framework is used for the joint mode and time-of-day models and the ordered response probit framework is used to estimate the number of walk and bicycle trips made by an individual. The results of the analyses show that socio-economic and demographic characteristics have a significant impact on the mode choice decisions of individuals. There is also evidence that interaction of the socio-economic and demographic characteristics with the trip characteristics has a notable impact on the travel behavior of individuals