Abstract Machine Learning (ML) approaches are increasingly being investigated as an
alternative to Random Utility Models (RUMs) for modelling passenger mode choice. These …

Bangladesh is one of the world's strongest emerging economies. This nation is working on
improving women's empowerment, with more women entering meaningful employment, and …

First and last mile connectivity are the most crucial elements of transit system. However,
inadequate attention is given to such issues in developing countries like India. The present …

The prediction of travel mode preference, like many other choice prediction problems, may
depend on categorical features of the choice options or the choice makers. Such categorical …

Parking is an inevitable issue in the fast-growing developing countries. Increasing number of
vehicles require more and more urban land to be allocated for parking. However, a little …

Abstract Machine Learning (ML) approaches are increasingly being investigated as an
alternative to Random Utility Models (RUMs) for modelling passenger mode choice. These …

Bangladesh needs to improve women's health, security, convenience, and financial
independence, particularly regarding urban mobility. An inefficient and unaffordable urban …

Understanding travel mode choice behaviour is key to effective management of transport
networks, many of which are under increasing strain from rising travel demand …

Delhi is highly plagued by traffic congestion and is notoriously known for its traffic jams.
Thus, the question of studying the mode-choice preferences of commuters in Delhi will be …

While extensive research has been conducted to explore factors influencing mode choices
and first-or last-mile connectivity, few studies have delved into the underlying hierarchy of …