50 years of behavioral models for transportation and logistics

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.

Authors

Institutions

Publication Details

Journal
EURO Journal on Transportation and Logistics
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ejtl.2025.100156
Citations
1
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.68
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

50 years of behavioral models for transportation and logistics

Léa Ricard, Michel Bierlaire
1 citations
EURO Journal on Transportation and Logistics
Transportation and Mobility Innovations
0.68
article

50 years of behavioral models for transportation and logistics

Léa Ricard, Michel Bierlaire
article en
1 citations

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.

EURO Journal on Transportation and LogisticsVol. 14
École Polytechnique Fédérale de Lausanne (CH)
Openalex Percentile: Top 32%
Transportation and Mobility Innovations
0.68
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.