Abstract

This study aims to improve Indiana’s travel demand modeling practices by incorporating locally collected trip generation data and emerging e-commerce travel trends into INDOT’s planning framework. The research focuses on two primary objectives. First, it enhances trip generation procedures for high-impact land uses in Indiana, including warehouses, fast-food restaurants, gas stations, and truck stops. This effort includes reviewing existing ITE land use categories, prioritizing land uses for phased data collection, and developing improved trip generation equations that incorporate Indiana-specific independent variables and adjacent traffic conditions. Second, the study develops models to capture the transportation impacts of rapidly evolving e-commerce behavior. A statewide survey of Indiana residents is used to examine online and in-store shopping patterns, delivery preferences, return behaviors, barriers to e-commerce adoption, and sociodemographic influences on consumer choices. These data support the development of agent-based models to simulate microfreight travel demand and estimate outcomes such as vehicle miles traveled and the potential benefits of alternative fuel delivery vehicles. The study’s findings will support updates to Indiana’s Statewide Travel Demand Model and improve INDOT’s ability to forecast traffic impacts from new developments. By integrating local land use data and e-commerce-related travel behavior, this research provides a stronger foundation for infrastructure investment decisions, more accurate travel demand forecasts, and more sustainable transportation planning in Indiana.

Keywords

travel demand modeling, trip generation, e-commerce, agent-based modeling, vehicle miles traveled, online shopping behavior

Report Number

FHWA/IN/JTRP-2026/25

SPR Number

4906

Performing Organization

Joint Transportation Research Program

Publisher Place

West Lafayette, Indiana

Date of Version

2026

DOI

10.5703/1288284318707

SPR-4906 Technical Summary.pdf (1592 kB)
SPR-4906 Technical Summary

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