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 language | English |
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Number of pages | 1 |
Publication status | Published - 2025 |
Event | 104th Annual Meeting of the Transportation Research Board 2025 - Washington DC, United States Duration: 5 Jan 2025 → 9 Jan 2025 https://trb-annual-meeting.nationalacademies.org/schedule |
Conference
Conference | 104th Annual Meeting of the Transportation Research Board 2025 |
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Abbreviated title | TRB 2025 |
Country/Territory | United States |
City | Washington DC |
Period | 5/01/25 → 9/01/25 |
Internet address |