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A Comparison of Geographic Information Systems, Complex Networks, and Other Models for Analyzing Transportation Network Topologies
| 题名： | A Comparison of Geographic Information Systems, Complex Networks, and Other Models for Analyzing Transportation Network Topologies |
| 作者： | Kuby, Michael; Tierney, Sean; Roberts, Tyler; Upchurch, Christopher |
| 关键词： | geographic；information；network；transport；works；systems；models；compa；paris；polo |
| 摘要： | This report reviews six classes of models that are used for studying transportation network topologies. The report is motivated by two main questions. First, what can the and quotnew science and quot of complex networks (scale-free, small-world networks) contribute to our understanding of transport network structure, compared to more traditional methods Second, how can geographic information systems (GIS) contribute to studying transport networks The report defines terms that can be used to classify different kinds of models by their function, composition, mechanism, spatial and temporal dimensions, certainty, linearity, and resolution. Six broad classes of models for analyzing transport network topologies are then explored GIS static graph theory complex networks mathematical programming simulation and agent-based modeling. Each class of models is defined and classified according to the attributes introduced earlier. The paper identifies some typical types of research questions about network structure that have been addressed by each class of model in the literature. |
| 报告类型： | 科技报告 |
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