Home Delivery Trip Generation Model

Andika Fadhlansyah, Nahry

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish
Article number012003
JournalIOP Conference Series: Earth and Environmental Science
Volume1000
Issue number1
DOIs
Publication statusPublished - 20 May 2022
Event3rd International Symposium on Transportation Studies for Developing Countries, ISTSDC 2021 - Virtual, Online
Duration: 4 Nov 20216 Nov 2021

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