Incorporating Nonmotorized Modes in a Mode Choice Model

Abstract

A binary logit mode choice model that incorporates nonmotorized modes of transport was formulated. The model was calibrated with data collected at a Brazilian university campus, by means of travel diaries that were completed by students, staff, and faculty. The binary logit model gives the probability of an individual’s choosing walking or a motorized mode based on socioeconomic variables, land use characteristics, and trip length.

Impact of Built Environment on Mode Choice to Major Destinations in Dhaka

“…Generally, it is hypothesized that urban form variables, for example, density, mixed land use, accessibility, and so forth, promote walking/bicycling and transit use, reduce vehicle ownership and trip generation rates by bringing opportunities nearby, and affect trip-chaining patterns. Several studies have confirmed this hypothesis (10)(11)(12)(13)(14). Neo-traditional neighborhoods have been found to be generating fewer trips and fewer miles traveled as well as making fewer car trips compared with conventional neighborhoods (15).…”

Alternative Land Use Patterns to Minimize Congestion (Volume 3: Empirical Study of Mixed Land Use Traditional Neighborhoods)

“…Contrary to the conventional opinion that income determines the household's decision to own an automobile, the pedestrian environment, mixed land use, and proximity to transit and light rail will influence automobile ownership decisions. Sanches et al (2002) revealed that the presence of mixed land use in origin tracts exerts a positive influence on the option for walking. Rajamani et al (2003) • Even when shopping at neighborhood stores, almost one-third of the respondents use non-motorized travel modes less than ten percent of the time.…”