空间交互网络研究进展

发布时间：2018-11-24 18:01

【摘要】：空间交互网络是人、商品和信息等在地点之间流动而形成的嵌入在空间中的有向流网络。典型的空间交互网络包括国际贸易网络、人口迁移网络、人群出行网络及电话通信网络等。理解和预测空间交互网络中的流量分布模式不仅是区域科学、交通科学、经济地理学等很多领域长期以来的一个重要研究主题,在城市和交通规划、疾病传播防控、商业服务等领域也具有广泛应用价值。本文在简要介绍引力模型、介入机会模型等经典空间交互模型的基础上,着重对近年来复杂系统研究领域在空间交互网络建模方面的研究成果进行介绍,包括辐射模型、人口权重机会模型及空间交互网络上的随机游走模型等,并且对空间交互网络研究中存在的挑战性问题进行探讨,包括个体多样性行为建模、群体空间交互决策行为实验、数据驱动的活动-出行行为研究等。
[Abstract]:Spatial interactive network (SDN) is a directed flow network embedded in space, which is formed by the flow of people, commodities and information between the points of the earth. Typical spatial interactive networks include international trade network, population migration network, crowd travel network and telephone communication network. Understanding and predicting traffic distribution patterns in spatial interactive networks is not only an important research topic in many fields, such as regional science, transportation science, economic geography and so on, but also in urban and traffic planning, disease prevention and control. Commercial services and other fields also have extensive application value. Based on a brief introduction of classical spatial interaction models, such as gravity model and intervention opportunity model, this paper focuses on the research achievements of spatial interactive network modeling in the field of complex systems in recent years, including radiation model. The population weight opportunity model and random walk model on spatial interactive network are discussed, and the challenging problems in the research of spatial interactive network are discussed, including individual diversity behavior modeling, group spatial interactive decision-making behavior experiment, and so on. Data-driven activity-travel behavior research and so on.
【作者单位】：北京交通大学交通系统科学与工程研究院;
【基金】：国家自然科学基金项目(71671015,61304177)
【分类号】：O157.5

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