Multimodal transportation network for bio-waste collection: the case of Normandy

Yiyi Xu (), M’hammed Sahnoun (), Fouad Ben Abdelaziz () and Anne Louis ()
Additional contact information
Yiyi Xu: Amazon
M’hammed Sahnoun: CESI LINEACT
Fouad Ben Abdelaziz: Neoma business school
Anne Louis: CESI LINEACT

Annals of Operations Research, 2025, vol. 353, issue 1, No 11, 225-250

Abstract: Abstract In this paper, we introduce a new topology, connected-hubs, to the multimodal transportation literature. As strategic planning, the multimodal transportation network design decides the locations of consolidation centers and the routes between the origins and the destinations with the minimum of total cost. Most existing papers formulate the problem based on the hub-and-spoke topology, while our work is the first attempt to apply the connected-hub topology, which considers local consolidation by vehicle routing and extends some widely-used assumptions in the hub-and-spoke topology. A mathematical model is developed to formulate and solve the problem to optimality. Further, considering the problem complexity, a particle swarm optimization (PSO) algorithm is also proposed to generate efficient solutions for large-scale cases. The results of a case study in Normandy, France illustrate the efficiency and practicability of the proposed PSO in terms of economic and environmental sustainability objectives.

Keywords: Multimodal transportation; Connected-hubs topology; Bio-waste management; Particle swarm optimization; Economic and environmental objectives (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10479-024-06218-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:353:y:2025:i:1:d:10.1007_s10479-024-06218-8

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-024-06218-8

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().