Application of an empirical multi-agent model for urban goods transport to analyze impacts of zero emission zones in The Netherlands

Michiel de Bok, Lóránt Tavasszy and Sebastiaan Thoen,

Transport Policy, 2022, vol. 124, issue C, 119-127

Abstract: Reducing emissions caused by urban freight transportation is an increasingly important policy objective for transportation planners around the world. New and innovative ways of data collection provide new possibilities to analyze these issues. In this paper we present MASS-GT, a new multi-agent simulation system for urban goods transport. The empirical basis is provided by an exceptionally large dataset of truck trip travel diaries for The Netherlands that was collected from transportation management systems using an automated data collection interface. The dataset is very dense and includes information on vehicles, routes, and shipments carried.

Keywords: Urban freight transportation demand; Multi-agent models; Big data applications; Tour formation; Urban consolidation centers; Zero-emission zones; The Netherlands (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:trapol:v:124:y:2022:i:c:p:119-127

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DOI: 10.1016/j.tranpol.2020.07.010

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