Urban Transport Modelling for Sustainable Well-Being in Hanoi: Implementing a new traffic model

Urban Transport Modelling for Sustainable Well-Being in Hanoi: Implementing a new traffic model

This project aims at creating statistical and spatial models of transport behaviors and attitudes. It uses data collected as part of a British Academy project undertaking urban transport modeling in Hà Nội, Vietnam, where there are severe problems: congestion, transport infrastructures failing to keep pace with urban expansion, the emergence of informal transport infrastructures and traffic being dominated by motorbikes. A transport survey has been undertaken to capture the dynamics and trends of people’s regular travel in and around the city, including the attitudes towards different transport modes and a proposed motorbike ban. To this effect, this internship aims at constructing statistical and spatial models to link across the various themes within the data including respondent travel preferences (modes, frequency), trip purpose, socio-economic characteristics, etc.

The aim of the modeling is to be able to predict the impact of different transport policy changes and to understand the process driving different travel behaviors. The wider project takes a multi-disciplinary approach in addressing the effect of different policy scenarios on traffic flows and the creation of models from the survey will derive new insights and drive policy development. As such this project will address questions regarding how, where, and when planned policies should be implemented, what the impacts on local communities would be, whether public transport can cope, and whether there are alternatives. This internship is critical to that.