Citation

Ghosh T, Kanitkar T, Srikanth R. Case Stud. Transp. Policy 2023; 13: e101061.

Copyright

(Copyright © 2023, World Conference on Transport Research Society, Publisher Elsevier Publishing)

DOI

10.1016/j.cstp.2023.101061

PMID

unavailable

Abstract

The city of Bengaluru is one of the latest entrants to the list of 33 mega cities in the world. The transportation infrastructure of the city is expanding to accommodate the rapidly increasing population. As such, there is a need to reevaluate public transport policies to achieve the Sustainable Development Goal (SDG) target 11.2. In this study, we conducted a socio-economic survey of 1350 households belonging to the low and low-middle income categories in Bengaluru city to understand their travel behaviour and transportation mode choices in the event of changing transport infrastructure dynamics of the city. While two-wheelers are the dominant mode among employed working males in the age group of 18-45 years, buses are preferred for long-distance travel. Metro ridership is low even where metro stations are accessible at the start of the journey because low- and middle-income groups are unable to afford metro services. Additionally, we used Random Forest model to assess the contribution of each explanatory variable in mode choice determination. The results shows that travel cost followed by travel time and travel distance are the most important explanators in determining the mode choice for our sample population. Based on these findings, the authors have created two scenarios to assess the impact of metro fare rationalisation on metro ridership. This study quantifies the co-benefits of the proposed policy changes in terms of economic benefits to the operators and the avoidance of air pollution and CO2 emissions.

Language: en

Keywords

CO emissions; Particulate matter pollution; Random forest; SDG target 11.2; Socio-economic survey