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50 years of behavioral models for transportation and logistics

Léa Ricard & Michel Bierlaire

EURO Journal on Transportation and Logistics2025https://doi.org/10.1016/j.ejtl.2025.100156article
AJG 2ABDC B
Weight
0.37

Abstract

Fifty years ago, transportation and logistics problems were primarily analyzed either from a supply-side or a demand-side perspective, with the fields of operations research and demand modeling evolving separately. Since then, there has been a growing interest in behavioral optimization models, aiming to integrate both supply and demand aspects. The purpose of this survey is to offer a historical perspective on the evolution of behavioral optimization models in transportation and logistics. It does so by delving into significant works in demand modeling and choice-based optimization, highlighting their interconnections. In particular, we focus on three important optimization applications, namely the facility location problem, the airline scheduling and fleet assignment problem, and the urban transportation planning problem. Additionally, we identify potential avenues for future research to bridge existing gaps in the literature and promote behavioral models in transportation and logistics. • Supply and demand interactions in transportation and logistics have been overlooked in the past. • We give an historical perspective on the evolution of behavioral optimization. • We review significant works in demand modeling and choice-based optimization. • Potential avenues for future research to promote behavioral models are identified.

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https://doi.org/https://doi.org/10.1016/j.ejtl.2025.100156

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@article{léa2025,
  title        = {{50 years of behavioral models for transportation and logistics}},
  author       = {Léa Ricard & Michel Bierlaire},
  journal      = {EURO Journal on Transportation and Logistics},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1016/j.ejtl.2025.100156},
}

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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