网络关键性
Transport models measure the travel time and access lost when each link closes, identifying the links that matter most.
GCRI · 关键基础设施
Urban and transport engineering design and operate the roads, rail and public transport that move people and goods. In this field they assess network criticality, design for hazards and plan operations during disruption.
Urban and transport engineering plans and designs cities and the networks that move people and goods. It shapes exposure, accessibility and the ability of communities to function during disruption. In 关键基础设施 and cities and built environment, transport analysis identifies critical links whose loss isolates communities or halts supply chains. It informs land use decisions that reduce exposure and maintain access to services. The canonical description is on STEM Commons.
Transport models measure the travel time and access lost when each link closes, identifying the links that matter most.
Drainage, embankments, rail and pavements are designed for changing rainfall, flood and heat, using current hazard evidence.
Diversions, bus bridges and priority routes are planned for closures, with attention to people without cars.
Night lights, population density and daytime surface heat over Western Europe, from NASA GIBS. Each layer carries its own date.
交互式地图需要JavaScript;图层列表和来源见下文。
图层 3
本页的城市信号
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最新可用
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap贡献者 (ODbL) · Natural Earth
正在加载最新的NASA影像。
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Urban signals, framed on Western Europe.NASA 发布的卫星和模型产品,各带自己的日期。它们是指标,而非对任何地点的评估。
图层与日期
Datasets and records used by urban and transport engineering on this platform, with the role each plays and the label its values carry. Sources are listed in 来源登记册.
| 数据 | 角色 | 标签 |
|---|---|---|
| Road and rail network data | Model structure | 已发布统计 |
| Traffic counts and transit schedules | 需求 | 观测 |
| Hazard maps | 风险暴露 | 模型生成 |
团队遵循该方法时会使用的界面:其指标、状态与决策。名称为示例,数值仅作示意。
Critical infrastructure · Transport engineering · Run R-0109
nodes: assets · edges: dependencies
| N3 | 0.20 | 8 | Critical |
| N4 | 0.33 | 7 | 正常 |
| N5 | 0.32 | 11 | 正常 |
| N6 | 0.10 | 7 | 正常 |
Models are calibrated to observed flows and validated against independent counts. Post-event observations of network performance test resilience assumptions.
| 核查 | 如何开展 |
|---|---|
| Model calibration | Transport models are calibrated to counts |
| Design value review | Design values are checked against current hazard evidence |
| Equity of diversions | Disruption plans are checked for access by people without cars |
Behaviour during emergencies differs from routine travel. Long-term land use responses to infrastructure are uncertain.
A 危害足迹 会摧毁每一层中位置相同的资产;碎片化、层间依赖和幸存部分的过载随后使失效蔓延。3D 视图按深度将各层分开。这是使用明示示例数值的教学模型,不是预测。本页地图显示的是西欧;模型本身并不局限于某一地点。
控制措施
读数
| 步骤 | 交通运行(%) | 电力运行(%) | 电信运行(%) |
|---|---|---|---|
| 0 | 89 | 100 | 94 |
| 1 | 89 | 94 | 89 |
| 2 | 89 | 94 | 72 |
| 3 | 89 | 94 | 56 |
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:
贯穿六大支柱,由 Nexus Consortium 牵头
Assembled from the Nexus Standards area profile 关键基础设施与关键实体: the hazards it names, the 系统 and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.
系统与耦合
控制措施
NS-0 章程与原则NS-3 风险记录 UNI(语法、旧编码对照、分配机构)NS-9 情境 UNI(部署、实例、计划实例)NS-10 政策和条款(机器可读的义务:定义、约束、评估和执行)NS-11 验证与监测(证据、证明、零信任符合性观测)NRS-H61 危害族:级联失效(NHS-1 sys.cascade)NRS-H94 危害族:系统性网络事件(NHS-1 cyber.systemic-cyber)NRS-H107 危害族:数字基础设施集中与单一化(NHS-1 tech.digital-concentration)NRS-K31 领域包概况:国家网络韧性(DOMAIN-031)NRS-K36 领域包概况:关键基础设施(DOMAIN-036)NRS-K48 领域包概况:金融系统韧性(DOMAIN-048)观测
示例地理范围
城市与建成环境 stewards urban and transport engineering for the Consortium and reviews how it is applied across platforms.
模型、其假设、数据和不确定性,以科学家或工程师会核查的形式呈现。结构遵循已发表的方法。所取数值仅为示意,不是研究发现。
The couplings between the systems in transport engineering for infrastructure: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.
报告 is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
切勿发送个人数据、敏感基础设施细节或您无权分享的任何内容。贡献在使用前会经过审查;发送贡献不赋予署名权或编辑权,赞助也绝不能换取研究结论。
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