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
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.