Case Study of Cape Town Commuter Travel Preference Using Case 2 Best-Worst Scaling - Travel data for all Public Transport modes

This data is from the project: Case Study of Cape Town Commuter Travel Preference Using Case 2 Best-Worst Scaling.

Abstract:

A commuter preference study in Cape Town using Case 2 Best-Worst Scaling was conducted for Bus, Minibus Taxi (MBT), MyCiTi and Train commuters. Each commuter was presented with nine choice sets with varying attribute levels for travel. The attributes explored were travel time, travel cost and reliability. The commensurate attribute levels were travel faster, travel slower, travel same duration; paying less, paying more, paying the same; experience delay, peak frequency, and off-peak frequency. The study confirmed that cheaper fare is predominately preferred. There were nuanced differences on the worst attributes for bus commuters, fare increase; for MBT commuters, off-peak frequency; for MyCiTi and Train commuters experiencing delays was ranked the worst.

Case 2 Best-Worst Scaling shows promise for future transport studies. Areas of improvement for future studies are increasing attributes being studied and pivot tranches for travel cost and travel time.