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.

翻译：源目的地（OD）流量建模是一个跨多学科广泛研究的课题，例如交通领域的出行需求研究和地理学中的空间交互建模。然而，不同领域的研究人员倾向于采用各自独特的研究范式，缺乏跨学科交流，阻碍了知识的交叉融合以及针对挑战性问题的创新解决方案的发展。本文提供了一项系统的跨学科综述，全面且整体地审视了OD流量，从基础理论运用到人口流动机制研究，以及借助工程计算模型解决实际问题。具体而言，区域经济学、城市地理学和社会物理学擅长采用理论研究方法探索OD流量的潜在机制，并发展了三种有影响力的理论模型：重力模型、介入机会模型和辐射模型。这些模型分别专注于考察距离、机会和人口对OD流量的基本影响。同时，交通、城市规划与计算机科学等领域主要关注四个实际问题：OD预测、OD构建、OD估计与OD预报。为了解决这些问题，先进的计算模型（如深度学习模型）逐渐被引入。最后，基于现有研究，本综述总结了当前面临的挑战，并概述了这一主题的未来方向。通过本综述，我们旨在打破OD流量相关研究中学科之间的壁垒，促进跨学科视角和思维模式的建立。