MASS-GT: an empirical model for the simulation of freight policies

Michiel de Bok*, Sebastiaan Thoen, Larissa Eggers, Ioanna Kourounioti, Lorant Tavasszy

*Corresponding author for this work

Research output: Contribution to conferencePosterScientific

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Abstract

Very few systematic, quantitative and empirical methods exist which allow an impact assessment of urban freight solutions or policies. Especially the behavioral responses of logistic agents are difficult to include systematically in impact assessments. This is mainly due to limitations on urban freight data and absence of validated and proven simulation tools. We present an urban freight simulator: Multi-Agent Simulation System for Goods Transport (MASS-GT). MASS-GT is an agent-based model consisting of a framework of discrete choice and optimization models to describe the logistic choices of shippers, carriers, producers and consumers. The disaggregate level of detail allows the analysis of a wide variety of logistic developments and policies across all or specific logistic segments. The model was first implemented for a study area in the Netherlands and calibrated and validated using a variety of data sources.
Original languageEnglish
Number of pages1
Publication statusPublished - 2025
Event104th Annual Meeting of the Transportation Research Board 2025 - Washington DC, United States
Duration: 5 Jan 20259 Jan 2025
https://trb-annual-meeting.nationalacademies.org/schedule

Conference

Conference104th Annual Meeting of the Transportation Research Board 2025
Abbreviated titleTRB 2025
Country/TerritoryUnited States
CityWashington DC
Period5/01/259/01/25
Internet address

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