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From novice to expert: advancing step-by-step simulation guideline for urban logistics with an open-source simulation tool
KTH, School of Industrial Engineering and Management (ITM), Production engineering, Advanced Maintenance and Production Logistics. BIBA - Bremer Institut für Produktion und Logistik, Bremen, Germany.ORCID iD: 0000-0002-3747-0845
KTH, School of Industrial Engineering and Management (ITM), Production engineering, Advanced Maintenance and Production Logistics.ORCID iD: 0000-0003-1878-773X
2024 (English)In: The International Journal of Logistics Management, ISSN 0957-4093, Vol. 35, no 5, p. 1417-1433Article in journal (Refereed) Published
Abstract [en]

Purpose: This research analyses challenges faced by users at various levels in planning and designing participatory simulation models of cities. It aims to identify issues that hinder experts from maximising the effectiveness of the SUMO tool. Additionally, evaluating current methods highlights their strengths and weaknesses, facilitating the use of participatory simulation advantages to address these issues. Finally, the presented case studies illustrate the diversity of user groups and emphasise the need for further development of blueprints.

Design/methodology/approach: In this research, action research was used to assess and improve a step-by-step guideline. The guideline's conceptual design is based on stakeholder analysis results from those involved in developing urban logistics scenarios and feedback from potential users. A two-round process of application and refinement was conducted to evaluate and enhance the guideline's initial version.

Findings: The guidelines still demand an advanced skill level in simulation modelling, rendering them less effective for the intended audience. However, they have proven beneficial in a simulation course for students, emphasising the importance of developing accurate conceptual models and the need for careful implementation.

Originality/value: This paper introduces a step-by-step guideline designed to tackle challenges in modelling urban logistics scenarios using SUMO simulation software. The guideline's effectiveness was tested and enhanced through experiments involving diverse groups of students, varying in their experience with simulation modelling. This approach demonstrates the guideline's applicability and adaptability across different skill levels.

Place, publisher, year, edition, pages
Emerald , 2024. Vol. 35, no 5, p. 1417-1433
Keywords [en]
Action research, Decision-making, Simulation modelling, Urban logistics
National Category
Transport Systems and Logistics Other Civil Engineering
Identifiers
URN: urn:nbn:se:kth:diva-366661DOI: 10.1108/IJLM-02-2023-0056ISI: 001136469100001Scopus ID: 2-s2.0-85181252373OAI: oai:DiVA.org:kth-366661DiVA, id: diva2:1982762
Note

QC 20250708

Available from: 2025-07-08 Created: 2025-07-08 Last updated: 2025-07-08Bibliographically approved

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Baalsrud Hauge, JannickeJeong, Yongkuk

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