Modelling Urban Logistics Business Ecosystems - An Agent-based Model Proposal

Giovanni Zenezini, Alberto De Marco

2018

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.

Paper Citation

in Harvard Style

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

in Bibtex Style

@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},
}

in EndNote Style

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