A Generic Modelling Framework for Last-Mile Delivery Systems

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A Generic Modelling Framework for Last-Mile Delivery Systems

Conference Paper (2025)

Author(s)

Önder Gurcan (NORCE Norwegian Research Centre AS)

Timo Szczepanska (NORCE Norwegian Research Centre AS)

Vanja Falck (NORCE Norwegian Research Centre AS)

Patrycja Antosz (NORCE Norwegian Research Centre AS)

M.S. Cebeci (TU Delft - Transport, Mobility and Logistics)

M.A. de Bok (TU Delft - Transport, Mobility and Logistics)

Rodrigo Javier Tapia (TU Delft - Transport, Mobility and Logistics)

Lorant Tavasszy (TU Delft - Transport and Logistics, TU Delft - Transport, Mobility and Logistics)

Research Group

Transport, Mobility and Logistics

DOI related publication

https://doi.org/10.1007/978-3-031-91782-0_12

Last-mile delivery Social simulation Computational social science Agent-Based Modelling (ABM) Social digital twin

To reference this document use:

https://resolver.tudelft.nl/uuid:495d3b57-96bc-4817-bfec-6cec0bba491e

More Info

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Publication Year

2025

Language

English

Research Group

Transport, Mobility and Logistics

Bibliographical Note

Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en

Pages (from-to)

165-174

ISBN (print)

['9783031917813', '978-3-031-91784-4']

ISBN (electronic)

978-3-031-91782-0

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Large-scale social digital twinning projects are complex with multiple objectives. For example, a social digital twinning platform for innovative last-mile delivery solutions may aim to assess consumer delivery method choices within their social environment. However, no single tool can achieve all objectives. Different simulators exist for consumer behavior and freight transport. Therefore, we propose a high-level architecture and present a blueprint for a generic modelling framework. This includes defining modules, input/output data, and interconnections, while addressing data suitability and compatibility risks. We demonstrate the framework’s effectiveness with two real-world case studies.

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File under embargo until 27-06-2026