Home Delivery Trip Generation Model

Abstract

As a result of online shopping's rapid development, more goods and services are being delivered directly into residences. The number of people who shop online using e-commerce platforms also increases with the Covid-19 pandemic and causes an increase in freight trip generation. This research aims to analyze the factors that affect freight trip generation and develop a freight trip generation model for home deliveries. Data collection is done using questionnaires with 273 people who reside in Jabodetabek as samples to understand the individual characteristics, household characteristics, and the number of freight trips generated by each residential unit. Collected data is analyzed using the multiple linear regression method into a multiple linear regression model. The result shows on multiple linear regression modeling only the home type, household income, and the number of vehicles have significance towards the model. This research can be used by city transportation authorities as a reference to predict the impact of urban area's development on freight trip generation.