抄録
When transport systems get overloaded due to escalation in travel demand, it becomes poor in quality as well as quantity of service. Therefore the existing transport system needs to be expanded with introduction of new modes of mass transportation. This can be done by studying the travel behavior and choices of commuters, which is known as mode choice modeling. In this paper the mode choice behavior of the commuters having a personalized mode for different journeys in the second order metropolitan cities of India (population range of 1-2.5 millions) was modeled. The mode choice models based on Logit and Artificial Neural Networks (ANN) for work, education and others trips are validated and compared. The choice behavior data for this exercise was collected in the cities of Visakhapatnam and Nagpur. Further, the results have shown that commuters are placing more weight on travel time than travel cost.
