抄録
Public transportation (PT) plays a major role in order to meet the ever-increasing travel demand in developing cities. With urbanization trend at the fringes of the region, away from the city core, travelers must take different modes or to chain trips to reach their final destination. This study investigates the travelers’ decisions on choice of mode and modal combination patterns through modeling tools. Specifically, it looks into the travelers’ preferences for different modes in performing PT chains. Empirical analysis using logit-based extreme value models such as multinomial logit (MNL), and nested logit (NL) was performed. It introduces the applicability of cross-nested logit (CNL) model structure in analyzing PT mode choice behavior. Utilizing variables such as total travel time and cost, with some socioeconomic variables, for all model formulations, estimation results point to the flexibility of more advanced models in dealing with the choice situations involving PT chains.
