Travel mode choice changes due to covid-19- case study of Yelahanka

Abstract

Abstract India had repeated lockdowns from 2020 to 2022, however changes in commuters' travel mode preferences were noted both before and after COVID-19.. In total 950 participant response were created through Microsoft Forms and sent through different forms of social media like WhatsApp, LinkedIn and Facebook and 12% of the responses were recorded out the study area so it was excluded during the study purpose, the total responses were carried out for the study were 827 responses. The study also attempted to quantify the effects of influencing factors which can explain change in the commuter’s travel mode choice. The findings revealed that employment growth as seen after COVID-19 of 6% were the main purpose of travelling was to office, recreational and medical services of 19% after COVID-19. Mode choice model were created accordingly for the data analysed. The MLR Model created for Before Covid-19 data shows a good fit and the independent variables are significantly affecting the outcome variable and the Multiple Linear Regression Model created for Post-Covid-19 shows the independent variables are affecting significantly affecting the dependent variable i.e. Mode Choice. Therefore, Multiple Linear Regression Model is finalized and the collected data of the present study shows good model fit. The goal of the current study is to help policymakers better understand the dynamics of shifting travel demand and trip purpose before and after events like COVID-19.