The survey is conducted for the M.Sc Thesis titled “Modeling Urban Mobility in Chattogram: A Comparative Analysis of Traditional and Machine Learning Approaches.” by Kamol Debnath Dip, Lecturer, CE, CUET. The research aims to understand how people in Chattogram travel within the city.
We are collecting data on travel patterns and household demographics through brief interviews with residents. This information will be used to develop and compare different models for predicting travel behavior in Chattogram, which can help city planners improve transportation systems.
Your participation is voluntary and confidential. The survey will take approximately 40-50 minutes per household. If you have any questions, please do not hesitate to contact Kamol Debnath Dip: