Abstract:
This study presents a comprehensive analysis of the socio-economic and travel behaviorfactors that are usually influence the kind of mode choice to university students in the Daffodil Smart City area of Ashulia sub-urban of Dhaka. As urban expansion through the help of sub-urban surroundings and rising student populations reshape mobility asneeds, understanding the determinants of students travel decisions becomes type of crucial for sustainable transport planning as part of sustainable development. Based on previous theories of mode choice and existing empirical research in Dhaka and Toronto,this study explores the state of variables as travel time, cost, distance, etc. Home income, gender, vehicle ownership and possession of a license is everlasting. Influence selection of students among the alternative modes of transport that are available to commute. Firstly, the main survey data were gathered among the students of the university who live and study there studying in or around the Daffodil Smart City campus as similar to Halls. And modelled with discrete choice techniques, such as Multinomial Logit. They are (MNL), Nested Logit (NL) and Cross-Nested Logit (CNL) frameworks. The results disclose that that travel charge, income and time do not merely considerably affect student choices. But also behavioral change and frequency of trips, and socio-economic factors including additional and significant roles in are played by income, gender and vehicle ownership. Selecting mode preferences of eight available modes what can be chosen as mode. As an output of the study, the sensitivity of students tend to is mentioned. Affordability and accessibility, which implies preference of public and non-motorized. Among the lower-income groups. This discovery will provide a useful contribution. To those accountable policy-makers who make policy about such, transport planners, and university administrations wishing to develop inclusive and student-friendly mobility. Policies that enhance sustainability and equitable access of transport modes in the university and local or local modes are available in the emerging urban universities similar to the Daffodil Smart City area.
