Modelling and Exploring the Impacts of E-Grocery Shopping on Trip Generation in India

Abstract

The limited space for the road widening and an increasing number of vehicles leads to never ending congestion in the peak hours. However, the trip generation can be reduced or manipulated by targeting any essential activity such as grocery shopping (which has been carried out even in the strictest lockdown due to the covid-19 pandemic). In this study, a questionnaire survey is done and data of 434 respondents are analysed to see how the grocery shopping trip behaviour of the people residing in tier I cities of India is influenced by the chosen demographic variables and online grocery shopping. A linear model is formulated by multiple linear regression to forecast the number of grocery shopping trips, which is validated with the observed number of trips. The model reveals that purchasing groceries from online shopping do reduce the number of shopping trips generated and the same can be used by urban planners while sketching out the plans for transportation infrastructure