This paper describes the multinomial and nested logit models developed for travel mode choice of home-based work trips in Dhaka City. Although a very few travel demand forecasting models have been developed for Dhaka City but none of them has a comprehensive mode choice model that can...

Gender is one of the key socio-demographic variables that can influence travel behaviour, but it is often the least understood. Understanding travel behaviour by gender will help better design transport policies that are efficient and equitable. Due to the gendered division of work in...

Surges in e-commerce sales represent a huge challenge for urban freight transport. Parcel lockers constitute a valid solution for addressing the challenges home deliveries imply. In fact, eliminating courier-consumer contact (also relevant for health-related issues, as made evident by the...