Comparing Comfort in Various Public Transportation Modes in Dhaka City

Abstract

The comfort of a transportation trip was measured and correlated with data from two different sources i.e. subjective (Questionnaire survey) approach and mechanical (Arduino) approach for the first time in context to a fast-developing city like Dhaka. Comfort values for two different routes with five different modes were analyzed on the basis of four identified variables (Speed, Vibration, Sound, Temperature) with the help of Anova Test. The f critical values of all the variables are found to be smaller than the f values. We thus can say that the null hypothesis is rejected, implying that with the change of mode, change of identified variables and all over comfort value is directly connected. We also prepared comfort ranges on the identified variables for general passengers. This thesis is a basic survey, which pioneers the way to correlated data analyzing but would require a full-scale survey of all major possible highways in Dhaka city to actually enhance the comfort model. The study requires inclusion of a few more identified variables and a weight study to develop the model in a further level. A whole scale comfort model of the Dhaka city would be a big step forward in correlated data analysis for any developing country. This would help us to design transports and develop policies and strategies towards a more comfortable transport system of Dhaka.