Development of a Tour-Based Freight Model to Examine Last-Mile Delivery Scenarios in Columbus, Ohio

Authors: Amy M Moore*, Oak Ridge National Laboratory
Topics: Transportation Geography, Energy, Planning Geography
Keywords: Tour Models, Freight, GIS
Session Type: Paper
Day: 4/11/2018
Start / End Time: 10:00 AM / 11:40 AM
Room: Galerie 1, Marriott, 2nd Floor
Presentation File: No File Uploaded

The purpose of this study is to examine existing and future growth of intra-city freight traffic in Columbus, Ohio. A tour-based freight model will be developed for the Columbus, Ohio Metropolitan Planning Organization (MPO) using Caliper’s TransCAD GIS software. A secondary objective of this study is to analyze last-mile delivery scenarios to reduce energy consumption by incorporating new freight modes and technologies. The goal of the model will be to help Columbus in their planning efforts by examining sustainable freight transportation options to reduce emissions, improve the existing transportation network and plan for future extensions to the network, and streamline intra-city goods movement.
Last-mile delivery scenario case studies will be developed, focusing on residential and industrial areas. These case studies will provide context for estimates of energy savings using new technologies versus typical medium and light-duty trucks. Traffic Analysis Zones (TAZs), which are commonly used in travel demand models, passenger trip-chaining, and tour-based models will be used as the geographic unit of analysis for the model. Tour routes will be modeled using the routing function in TransCAD, which is based on Dijkstra’s Algorithm. TAZs with the highest number of tour stops estimated by the model will be chosen for the case studies to model subsets of tours within the GIS. Alternative delivery scenarios will be proposed to determine fuel usage and energy savings for last-mile deliveries within these TAZs. Various types of alternative technologies will be considered for these case studies, including: drones, central delivery lockers, and electric vehicles.

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