An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques
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Abstract (arXiv)
Origin-destination (OD) flow modeling is an extensively researched subject across multiple disciplines, such as the investigation of travel demand in transportation and spatial interaction modeling in geography. However, researchers from different fields tend to employ their own unique research paradigms and lack interdisciplinary communication, preventing the cross-fertilization of knowledge and the development of novel solutions to challenges. This article presents a systematic interdisciplinary survey that comprehensively and holistically scrutinizes OD flows from utilizing fundamental theory to studying the mechanism of population mobility and solving practical problems with engineering techniques, such as computational models. Specifically, regional economics, urban geography, and sociophysics are adept at employing theoretical research methods to explore the underlying mechanisms of OD flows. They have developed three influential theoretical models: the gravity model, the intervening opportunities model, and the radiation model. These models specifically focus on examining the fundamental influences of distance, opportunities, and population on OD flows, respectively. In the meantime, fields such as transportation, urban planning, and computer science primarily focus on addressing four practical problems: OD prediction, OD construction, OD estimation, and OD forecasting. Advanced computational models, such as deep learning models, have gradually been introduced to address these problems more effectively. Finally, based on the existing research, this survey summarizes current challenges and outlines future directions for this topic. Through this survey, we aim to break down the barriers between disciplines in OD flow-related research, fostering interdisciplinary perspectives and modes of thinking.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Jun 2023.
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Citing papers per year: 2023: 1; 2024: 1; 2025: 6; 2026: 4.
12 papers.
- 2023Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environmentcited by 37
- 2025TransitReID: Transit OD Data Collection with Occlusion-Resistant Dynamic Passenger Re-Identificationcited by 4
- 2025Calibration of Vehicular Traffic Simulation Models by Local Optimizationcited by 2
- 2025Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Citiescited by 2
- 2025A Survey of Physics-Informed AI for Complex Urban Systemscited by 2
- 2024UMOD: A Novel and Effective Urban Metro Origin-Destination Flow Prediction Methodcited by 0
- 2025Deep learning four decades of human migrationcited by 0
- 2025VisitHGNN: Heterogeneous Graph Neural Networks for Modeling Point-of-Interest Visit Patternscited by 0
- 2026Fusing Urban Structure and Semantics: A Conditional Diffusion Model for Cross-City OD Matrix Generationcited by 0
- 2026DynaOD: Dynamic Origin-Destination Flow Generation with Discrete-to-Continuous Temporal Semantic Modelingcited by 0
- 2026SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysiscited by 0
- 2026EventOD: Event-Aware OD Flow Generation via LLM-Guided Semantic Modulationcited by 0
- 2026SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis6 Jul 2026
- 2026EventOD: Event-Aware OD Flow Generation via LLM-Guided Semantic Modulation26 Jun 2026
- 2026DynaOD: Dynamic Origin-Destination Flow Generation with Discrete-to-Continuous Temporal Semantic Modeling8 Jun 2026
- 2026Fusing Urban Structure and Semantics: A Conditional Diffusion Model for Cross-City OD Matrix Generation1 May 2026
- 2025VisitHGNN: Heterogeneous Graph Neural Networks for Modeling Point-of-Interest Visit Patterns3 Oct 2025
- 2025Deep learning four decades of human migration28 Jun 2025
- 2025A Survey of Physics-Informed AI for Complex Urban Systems9 Jun 2025
- 2025Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities21 May 2025
- 2025TransitReID: Transit OD Data Collection with Occlusion-Resistant Dynamic Passenger Re-Identification15 Apr 2025
- 2025Calibration of Vehicular Traffic Simulation Models by Local Optimization17 Feb 2025
- 2024UMOD: A Novel and Effective Urban Metro Origin-Destination Flow Prediction Method8 Sep 2024
- 2023Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment19 Dec 2023