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Authors: Giovanni Zenezini and Alberto De Marco

Affiliation: Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino and Italy

ISBN: 978-989-758-323-0

Keyword(s): Urban Logistics, Innovation, Business Ecosystems, Agent-based Modelling, Simulation.

Related Ontology Subjects/Areas/Topics: Agent Based Modeling and Simulation ; Artificial Intelligence ; Business Process Management ; Case Studies ; Complex Systems Modeling and Simulation ; Conceptual Modeling ; Domain-Specific Tools ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Formal Methods ; Health Engineering and Technology Applications ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Logistics ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Sensor Networks ; Simulation and Modeling ; Simulation Tools and Platforms ; Software and Architectures ; Symbolic Systems

Abstract: Urban Logistics (UL) faces several issues arising from e-commerce and population growth, and it is undergoing a series of technological and systemic innovations. However, most of these innovations fails to scale up, and high is the need to grasp the overall operational and economic aspects that drive UL stakeholders to accept such innovations. To this end, proper modelling and assessment methodologies need to take into account these aspects and the heterogeneity of objectives and decision-making of stakeholders. This paper aims at filling this gap by proposing an agent-based model based on an existing theoretical framework depicting UL systems from a business model perspective. A computational experiment is presented to retrieve more insights into the topic.

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Paper citation in several formats:
Zenezini, G. and Marco, A. (2018). Modelling Urban Logistics Business Ecosystems - An Agent-based Model Proposal.In Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-323-0, pages 128-135. DOI: 10.5220/0006865301280135

@conference{simultech18,
author={Giovanni Zenezini. and Alberto De Marco.},
title={Modelling Urban Logistics Business Ecosystems - An Agent-based Model Proposal},
booktitle={Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2018},
pages={128-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006865301280135},
isbn={978-989-758-323-0},
}

TY - CONF

JO - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Modelling Urban Logistics Business Ecosystems - An Agent-based Model Proposal
SN - 978-989-758-323-0
AU - Zenezini, G.
AU - Marco, A.
PY - 2018
SP - 128
EP - 135
DO - 10.5220/0006865301280135

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