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The Undirected Team Orienteering Arc Routing Problem: Formulations, Valid Inequalities, and Exact Algorithms
- Wenjin Yan
  Wenjin Yan
  [email protected]
  https://orcid.org/0000-0003-3763-9812
  Department of Information Systems, Data Analytics and Operations, ESSEC Business School, 95021 Cergy Pontoise, France
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  ,
- Elena Fernández
  Elena Fernández
  [email protected]
  https://orcid.org/0000-0003-4714-0257
  Department of Statistics and Operational Research, Universidad de Cádiz, 11510 Puerto Real (Cádiz), Spain
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  ,
- Ivana Ljubić
  Corresponding Author
  Ivana Ljubić
  [email protected]
  https://orcid.org/0000-0002-4834-6284
  Department of Information Systems, Data Analytics and Operations, ESSEC Business School, 95021 Cergy Pontoise, France
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Published Online:June 16, 2026
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Abstract
We introduce a new variant of the Undirected Team Orienteering Arc Routing Problem (UTOARP) that incorporates three key features: required edges, capacitated vehicles, and multiple services. These features have been investigated individually in the ...
Aligning LLM with Humans for Travel Choices: A Persona-Based Embedding Learning Approach
- Tianming Liu
  Tianming Liu
  [email protected]
  https://orcid.org/0000-0002-9880-2698
  Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48109
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- Manzi Li
  Manzi Li
  [email protected]
  https://orcid.org/0000-0002-8155-5010
  Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48109
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- Yafeng Yin
  Corresponding Author
  Yafeng Yin
  [email protected]
  https://orcid.org/0000-0003-3117-5463
  Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48109
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Published Online:June 16, 2026
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Abstract
Large Language Models (LLMs) offer significant potential by serving as human proxies to advance travel demand modeling, but their behavioral misalignment with human travelers remains a critical obstacle. Furthermore, existing alignment methods are often ...
Time-Phased Relief Supply Network Planning for Foreseen Disasters
- Vala Rahmati
  Vala Rahmati
  [email protected]
  https://orcid.org/0009-0009-1942-2231
  Department of Operations Research and Engineering Management, Lyle School of Engineering, Southern Methodist University, Dallas, Texas 75275
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  ,
- Halit Üster
  Corresponding Author
  Halit Üster
  [email protected]
  https://orcid.org/0000-0002-6714-5402
  Department of Operations Research and Engineering Management, Lyle School of Engineering, Southern Methodist University, Dallas, Texas 75275
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Published Online:June 10, 2026
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Abstract
We consider emergency preparedness for foreseen disasters such as hurricanes and flooding. Proper preparation and planning for timely relief supply in a cost-effective manner can be crucial determinants of how quickly recoveries occur and with the least ...
Auction Mechanism Design for Order Allocation and Payment in a Crowdshipping System
- Qingyang Li
  Qingyang Li
  [email protected]
  https://orcid.org/0000-0002-6673-5195
  Department of Data and Systems Engineering, The University of Hong Kong, Hong Kong, China
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- Fangni Zhang
  Corresponding Author
  Fangni Zhang
  [email protected]
  https://orcid.org/0000-0003-3584-4679
  Department of Data and Systems Engineering, The University of Hong Kong, Hong Kong, China
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Published Online:June 5, 2026
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Abstract
Crowdshipping has emerged as a novel service paradigm that leverages excess capacity in the transportation system by enlisting the traveling public, namely the “crowd”, to deliver parcels during their daily trips. To incentivize heterogeneous travelers as ...
Enhancing Online Food Delivery with Transfer Points: A Data-Driven Decompose-Then-Optimize Approach
- Xinyuan Zhang
  Xinyuan Zhang
  [email protected]
  https://orcid.org/0000-0002-0684-8892
  Department of Civil and Environmental Engineering, Rice University, Houston, Texas 77005
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- Qi Luo
  Qi Luo
  [email protected]
  https://orcid.org/0000-0002-4103-7112
  Tippie College of Business, University of Iowa, Iowa City, Iowa 52242
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- Xinwu Qian
  Corresponding Author
  Xinwu Qian
  [email protected]
  https://orcid.org/0000-0001-8001-2164
  Department of Civil and Environmental Engineering, Rice University, Houston, Texas 77005
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Published Online:June 4, 2026
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Abstract
Online food delivery platforms can improve efficiency by consolidating orders with similar origins, destinations, and time windows at intermediate transfer locations. This research investigates the online food delivery problem with transfer (OFDP-T) and ...

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