A Spatial Network Model for Civil Infrastructure System Development
A Spatial Network Model for Civil Infrastructure System Development
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DOI：
10.1111/mice.12204
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发表时间：
2016-09
期刊：
影响因子：
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通讯作者：
G. Fu;S. Wilkinson;R. Dawson
中科院分区：
文献类型：
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作者：
G. Fu;S. Wilkinson;R. Dawson
基础设施网络在促进经济繁荣、促进资源流动和保护社区免受危害方面发挥着重要作用。随着这些网络为人口服务，它们会随着社会、经济、环境和技术的变化而演变。到目前为止，对这些相互作用的考虑仅限于使用简化的数据集和理想化的网络结构，无法解释真实基础设施网络所表现出的复杂性和次优结构。本文提出了一个新的计算模型来模拟基础设施系统的增长和演化。通过对非平凡的真实世界数据集的分析获得的经验证据被用来识别引导和管理基础设施网络的系统规模演变的机制。该模型研究了塑造基础设施网络架构的三个关键驱动因素，即网络需求、网络效率和网络成本之间的相互作用。通过比较模拟网络和六个基础设施领域的真实网络的关键拓扑和空间特性，验证了该模型的有效性。该模型被用来开发和探索不同的基础设施网络未来场景，并表明它们的弹性会因不同的基础设施管理政策而发生变化。因此，该模型可用于确定系统范围的基础设施工程战略，以降低网络成本、提高网络效率，并提高基础设施网络对破坏性事件的恢复能力。
Infrastructure networks play an important role in improving economic prosperity, enabling movement of resources, and protecting communities from hazards. As these networks serve population, they evolve in response to social, economic, environmental, and technological changes. Consideration of these interactions has thus far been limited by use of simplified data sets and idealized network structures, and is unable to explain the complexity and suboptimal structures displayed by real infrastructure networks. This article presents a new computational model that simulates the growth and evolution of infrastructure systems. Empirical evidence obtained from analysis of nontrivial real‐world data sets is used to identify the mechanisms that guide and govern system‐scale evolution of infrastructure networks. The model investigates the interplay of three key drivers, namely network demand, network efficiency, and network cost in shaping infrastructure network architectures. The validity of the model is verified by comparing key topological and spatial properties of simulated networks with real‐world networks from six infrastructure sectors. The model is used to develop and explore different scenarios of infrastructure network futures, and their resilience is shown to change as a result of different infrastructure management policies. The model can therefore be used to identify system‐wide infrastructure engineering strategies to reduce network costs, increase network efficiency, and improve the resilience of infrastructure networks to disruptive events.