GCRI · 城市与建成环境
交通与出行
Urban transport decides who can reach jobs, schools, care and safety, how much time and money that costs, and how much it pollutes. Networks are shaped by land use, investment and the needs of people who walk, cycle, ride public transport or drive. This page sets out how urban mobility works and fails, how access and safety are measured, and what evidence serves the city and transport authorities that plan it.
Transport and mobility: how the risk develops.
Urban journeys, transit and infrastructure. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Land use creates travel
Where homes, jobs and services are located sets how far people must travel. Separating them across a sprawling city lengthens trips and favours cars.
Networks favour some modes
Road space, signal timing and investment priorities decide whether walking, cycling and public transport are safe and practical, or whether driving is the only option.
Access is unequal
People without cars, with disabilities, or living on the urban edge spend more time and money to reach opportunities. Informal transport often fills gaps that formal networks leave.
Speed and design set safety
Road deaths and injuries depend on speeds, street design, vehicle standards and enforcement. Pedestrians and cyclists bear a large share of urban road deaths.
Infrastructure exposure in India.
Night lights, population density and flood water over India, 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
本页面的基础设施暴露
关于本图层
- 证据
- 观测
- 来源
- VIIRS Black Marble（VNP46A2）（NASA LAADS DAAC）
- 提供方
- NASA LAADS DAAC
- 许可协议
- NASA 开放数据
- 年份版本
- 每日；卫星辐射亮度，已校正月光和大气影响
- 构建时的最新内容
- 2026-10-12
- 处理结果
- 约 500 米网格
- 不确定性
- 所示日期的卫星夜间辐射亮度；灯光是用电和停电的替代指标，并非对供应或获得电力情况的测量。
- 经由以下途径到达
- gibs.earthdata.nasa.gov，仅在您允许实时地图后访问
关于本图层
- 证据
- 估计值
- 来源
- 世界网格化人口 v4.11（NASA SEDAC（哥伦比亚大学 CIESIN））
- 提供方
- NASA SEDAC（哥伦比亚大学 CIESIN）
- 许可协议
- CC BY 4.0
- 年份版本
- null；基于人口普查的估算，静态（2020）
- 处理结果
- 约 1 公里网格
- 不确定性
- 基于人口普查的 2020 年每平方公里人口估算，作为风险暴露背景展示；不是受任何危害影响的人数。
- 经由以下途径到达
- gibs.earthdata.nasa.gov，仅在您允许实时地图后访问
关于本图层
- 证据
- 观测（云层造成缺口）
- 来源
- VIIRS 全球洪水产品（NASA LANCE）
- 提供方
- NASA LANCE
- 许可协议
- NASA 开放数据
- 年份版本
- 每日；卫星探测；云层造成缺口
- 构建时的最新内容
- 2026-10-14
- 处理结果
- 约 250 米网格
- 不确定性
- 卫星探测；云层造成缺口。卫星或模型栅格数据，按提供方发布的原样呈现。云层、条带缺口和反演误差会造成缺口和噪声；数值是指标，而非某地的测量值。
- 经由以下途径到达
- gibs.earthdata.nasa.gov，仅在您允许实时地图后访问
关于本图层
- 证据
- 观测
- 来源
- VIIRS NOAA-20 校正反射率（NASA LANCE）
- 提供方
- NASA LANCE
- 许可协议
- NASA 开放数据
- 年份版本
- 每日；卫星图像
- 构建时的最新内容
- 2026-10-14
- 处理结果
- 约 250 米网格
- 不确定性
- 卫星图像。卫星或模型栅格数据，按提供方发布的原样呈现。云层、条带缺口和反演误差会造成缺口和噪声；数值是指标，而非某地的测量值。
- 经由以下途径到达
- gibs.earthdata.nasa.gov，仅在您允许实时地图后访问
关于本图层
- 证据
- 模型生成（GIBS 发布的最新年份）
- 来源
- MODIS Terra 和 Aqua 土地覆盖（MCD12Q1）（NASA LP DAAC）
- 提供方
- NASA LP DAAC
- 许可协议
- NASA 开放数据
- 年份版本
- 每年；卫星分类；GIBS 发布的最新年份
- 构建时的最新内容
- 2024-01-01
- 处理结果
- 约 500 米网格
- 不确定性
- 所示年份的卫星土地覆盖类别，含农田；该分类存在已知误差，并非农场登记册。
- 经由以下途径到达
- gibs.earthdata.nasa.gov，仅在您允许实时地图后访问
关于本图层
- 证据
- 观测（云层造成缺口）
- 来源
- MODIS Terra EVI（NASA LANCE）
- 提供方
- NASA LANCE
- 许可协议
- NASA 开放数据
- 年份版本
- 每日；卫星指数；云层造成缺口
- 构建时的最新内容
- 2026-10-13
- 处理结果
- 约 250 米网格
- 不确定性
- 截至所示日期 8 天的卫星植被指数，是栖息地状况指标；不衡量物种或生物多样性。
- 经由以下途径到达
- gibs.earthdata.nasa.gov，仅在您允许实时地图后访问
键盘操作，地图获得焦点时
按住 Ctrl 或 ⌘ 并滚动以缩放
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。
拖动以移动。按住 Ctrl 或 ⌘ 并滚动、双指缩放或使用按钮缩放；悬停可查看指针下的数值；重置可返回该区域。
Infrastructure exposure, framed on India.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。
数据：NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap 贡献者 · Natural Earth · NASA EONET · 美国地质调查局 · NASA JPL OPERA DIST-ALERT来源与许可
- We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA 开放数据
- We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA 开放数据
- VIIRS Black Marble 夜间灯光，NASA 戈达德航天中心；由 NASA Level-1 与大气档案和分发系统（LAADS DAAC）分发；影像来自 NASA GIBS。颜色依据已发布的色标重绘；显示处的数值已按六边形网格平均（经修改）。 NASA 开放数据
- Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). 采用 CC BY 4.0 许可。颜色依据已发布的色标重绘；显示处的数值已按六边形网格平均（经修改）。 doi:10.7927/H49C6VHW. CC BY 4.0
- VIIRS 近实时产品（洪水、地表温度、积雪覆盖、校正反射率），NASA LANCE；影像来自 NASA GIBS。颜色依据已发布的色标重绘；显示处的数值已按六边形网格平均（经修改）。 NASA 开放数据
- MODIS 陆地产品（植被指数、总初级生产力、土地覆盖），NASA LP DAAC 和 LANCE；影像来自 NASA GIBS。颜色依据已发布的色标重绘；显示处的数值已按六边形网格平均（经修改）。 NASA 开放数据
- ASTER GDEM 是 METI 和 NASA 的产品（ASTER Global Digital Elevation Model V003，NASA LP DAAC）；影像来自 NASA GIBS。颜色依据已发布的色标重绘；显示处的数值已按六边形网格平均（经修改）。引用格式：NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA 开放数据
- 使用 Natural Earth 制作。免费矢量和栅格地图数据，见 naturalearthdata.com。 公有领域
- © OpenStreetMap 贡献者（ODbL），经由 NASA GIBS（海岸线、边界、道路和地名）。颜色依据已发布的色标重绘；显示处的数值已按六边形网格平均（经修改）。 ODbL
- Blue Marble，NASA Earth Observatory；影像来自 NASA GIBS。颜色依据已发布的色标重绘；显示处的数值已按六边形网格平均（经修改）。 NASA 开放数据
- 地球仪和平面地图上的背景信息：海岸线、边界、道路和地名来自 NASA GIBS 参考图层（OpenStreetMap 数据，ODbL，© OpenStreetMap contributors）；Blue Marble 影像可作为可选底图；3D 地形和高程读数来自 ASTER GDEM 高程色彩指数（5 m 至 200 m 分级，为便于辨识而作了夸张处理）。边界按已发布的样式绘制，不代表对任何领土的立场。
- 实时事件：NASA Earth Observatory Natural Event Tracker（EONET）；事件仅供参考，并保留其原始来源链接。
- 实时：NASA EONET。事件仅供参考，不是主管机构的预警。
- 实时：美国地质调查局。事件仅供参考，不是主管机构的预警。
- Observed (EO): NASA JPL OPERA DIST-ALERT (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
- NASA GIBS: We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
- 河流流量预报，30天及区间（GloFAS，经Open-Meteo）：包含经修改的Copernicus Emergency Management Service 2026年信息；非洪水警报。
- 天气数据来自 Open-Meteo.com (https://open-meteo.com/), 依据 CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). 授权。
- 可选图层（图层列表中有 12 个来源：实时、预报、观测和背景）开启时会在地图上和此处显示其提供方署名；预报是模型输出，派生指数是估计值。
图层与日期
- 夜间灯光，每日：VIIRS Black Marble（VNP46A2），NASA LAADS DAAC · 2026年10月12日
- 人口密度，2020 年：人口：哥伦比亚大学 CIESIN，世界网格化人口 v4.11（2018），NASA SEDAC， CC BY 4.0 · 静态
- 洪水水体，3 日合成：VIIRS 全球洪水产品，NASA LANCE · 2026年10月14日
- 真彩色：VIIRS NOAA-20 校正反射率，NASA LANCE · 2026年10月13日
- 土地覆盖类型（IGBP），年度：MODIS Terra 和 Aqua 土地覆盖（MCD12Q1），NASA LP DAAC · 2024
- 增强型植被指数，滚动 8 天：MODIS Terra EVI，NASA LANCE · 2026年10月13日
Urban mobility links people to work, care and food.
Mobility studies are designed for the 国家系统风险与韧性系列. Access indicators under SDG 11 measure convenient access to public transport.
- Transit access data.
- Mobility disruption records.
在相互依存的网络中的一次级联。
A 危害足迹 会摧毁每一层中位于同一位置的资产；随后，碎片化、层间依赖以及幸存部分的过载会使失效蔓延。3D 视图按深度分开各层。这是附有明示示意值的教学模型，不是预测。本页地图显示的是印度；模型本身不依附于某个地点。
控制措施
- 每个图层的资产
- 18
- 危害足迹
- 占面积的 8%
- 依赖其他图层的资产
- 60%
- 备用容量（容差）
- 30%
读数
- 受危害冲击的资产
- 15%
- 仍在运行的资产
- 24%
- 初始损害的放大
- 5.1 times
- 结算步数
- 6
数字、方法与来源
| 步骤 | 交通运行（%） | 电力运行（%） | 电信运行（%） |
|---|---|---|---|
| 0 | 83 | 89 | 83 |
| 1 | 83 | 50 | 56 |
| 2 | 72 | 44 | 28 |
| 3 | 39 | 33 | 28 |
| 4 | 39 | 28 | 28 |
| 5 | 33 | 22 | 28 |
| 6 | 22 | 22 | 28 |
方法
- 相互依存网络 Buldyrev 等（2010），Catastrophic cascade of failures in interdependent networks，Nature 464
- 过载级联 Motter and Lai (2002), Physical Review E 66
- 介数负载 Brandes (2001), Journal of Mathematical Sociology 25
- 多层网络 Kivela and others (2014), Journal of Complex Networks 2
- 基础设施相互依赖 Rinaldi, Peerenboom and Kelly (2001), IEEE Control Systems 21(6)
- 不确定性扇形图（参数蒙特卡罗） Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
- 单因素敏感性（龙卷风图） Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley
数据
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:
- 主要道路 Natural Earth
- 铁路 Natural Earth
- 海港 Natural Earth
- 机场 Natural Earth
- 城市范围 Natural Earth
- 今晚的夜间灯光、停电（VIIRS 昼夜波段） NASA/NOAA VIIRS（Suomi NPP）· 登记 nasa.gibs.context-live-layers
- 自然事件（NASA EONET） NASA EONET · 登记 nasa.eonet.events
贯穿六大支柱，由 Nexus Consortium 牵头
衡量什么，以及衡量得如何。
每个指标都注明其单位、频率、背后的来源类型以及数值将附带的证据标签。此处不显示数值：数值由计划依据其自身权限提供。
| 指标 | 单位 | 节奏 | 来源类型 | 标签 |
|---|---|---|---|---|
| Population with convenient access to public transport | percent of population | 每次评估 | SDG indicator 11.2.1 methods | 估算 |
| Jobs reachable within a stated travel time | count by mode | 每次评估 | Accessibility analysis | 模型生成 |
| Road traffic deaths | deaths per hundred thousand population | 年度 | Police and health records | 已发布统计 |
| Mode share | percent of trips by mode | per survey | Household travel surveys | 已报告 |
| Household spending on transport | share of household budget | per survey | Household budget surveys | 估算 |
| Transport emissions | tonnes of carbon dioxide equivalent | 年度 | City emissions inventories | 估算 |
Model transport and mobility as a system. Run the cascade.
Assembled from the Nexus Standards area profile 城市与建成环境: 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.
灾害
- 冰塞洪水
- 地震
- 溃坝
- Aftershock sequence （在下游引发）
- Fault surface rupture (set off downstream)
- Soil liquefaction (set off downstream)
- Slope slide (set off downstream)
- Rockfall (set off downstream)
- Tsunami (set off downstream)
- Building collapse (set off downstream)
- 大范围停电（在下游引发）
- Water supply failure (set off downstream)
- 大规模流离失所（在下游引发）
- Disaster and conflict debris (set off downstream)
- 河流洪水（在下游引发）
- Flash flood (set off downstream)
- Turbidity current (set off downstream)
- Seismically and structurally vulnerable stock (set off downstream)
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-5图表、地图和可视化标准（配合 UI/UX 套件）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-X5城市与建成环境风险NRS-H91危害族：城市与建成存量压力（NHS-1 infra.urban）NRS-H113危害类别：金融体系脆弱性（NHS-1 soc.financial-system）NRS-K7领域包概况：城市（DOMAIN-007）NRS-H31危害类别：持久性和生物累积性物质（NHS-1 poll.persistent）NRS-H34危害类别：废物与残余物处置失效（NHS-1 poll.waste）
观测
- Global Human Settlement Layer (listed for reference)
- WorldPop gridded population (listed for reference)
- Overture Maps buildings theme (listed for reference)
- OpenStreetMap (listed for reference)
- World Development Indicators (listed for reference)
- Direct economic loss in relation to global GDP, damage to critical infrastructure and number of disruptions to basic services, attributed to disasters
- Proportion of local governments that adopt and implement local disaster risk reduction strategies in line with national strategies
- Proportion of urban population living in slums, informal settlements or inadequate housing
- Percentage of local governments that adopt and implement local disaster risk reduction strategies in line with national strategies
示例地理范围
- India: 65 hexagonal cells
- 穿透云层的地表水，30 m（OPERA DSWx-S1 雷达），NASA GIBS
- 过去半小时降雨率（IMERG），NASA GIBS
- 今夜夜间灯光与停电（VIIRS 昼夜波段），NASA GIBS
- 地表土壤湿度（SMAP），NASA GIBS
证据来自何处。
具名公共数据集与机构记录，各自注明许可类别。依协议获得的来源仅按其条款使用，绝不再次发布。
| 来源 | 它提供什么 | 许可类别 |
|---|---|---|
| GTFS public transport feeds | Schedules, routes and stops published by agencies | Open, licence per agency |
| OpenStreetMap | Street, path and transit networks | Open, ODbL |
| WHO Global status report on road safety | Road traffic deaths and safety legislation by country | Public, WHO terms of use |
| UN-Habitat SDG 11.2.1 data | Access to public transport in cities | Public, UN-Habitat terms (to check) |
| Household travel surveys | Trips by purpose, mode and time | Licence per survey |
How transport and mobility is modelled, measured and tested.
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。
系统模型
The couplings between the systems in transport and mobility: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.
由谁决定，以及证据服务于什么。
Cities and Built Environment prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.
| 谁来决定 | 问题 | 本页面服务的证据 |
|---|---|---|
| City transport authorities | Which corridors and modes to invest in | Accessibility maps; mode share; safety analyses |
| Road safety agencies | Where to change speeds and street design | Crash analyses by location and user |
| Land use planners | How to place housing and jobs to shorten trips | Accessibility evidence |
该主题产生的产出
- Accessibility maps of jobs and services by mode
- Road safety analyses by street type and user
- Equity reviews of transport investment
- Evidence notes for sustainable urban mobility plans
专家提出的问题。
- 01
Who can reach what?
How access to jobs and services varies by neighbourhood, income, gender, age and disability.
- 02
Where are the critical links?
Which bridges, tunnels, interchanges and corridors, if lost, would cut access for many people.
- 03
How do hazards disrupt mobility?
Flooding of underpasses and underground lines, heat damage to rails and roads, and power loss to signals and electric transit.
- 04
How do evacuation and response work?
Whether networks can move people out and responders in during emergencies.
What drives the risk.
Transport networks have hubs and bottlenecks. Network theory shows that removing a few highly connected links can fragment access far more than random damage. Many cities depend on a small number of river crossings or central interchanges.
Transport shapes land use and land use shapes transport. Car-oriented growth spreads destinations and increases exposure to congestion and fuel shocks; transit-oriented growth concentrates demand along corridors.
Electrification couples transport to the grid. Electric rail, buses and vehicles reduce emissions and local pollution but make mobility depend on power supply during heatwaves and storms.
证据如何收集，以及止于何处。
| 方法或数据 | 显示内容 | 其局限 |
|---|---|---|
| Travel surveys and smart-card data | Who travels where and when | Miss informal transport and non-users |
| Network models | Critical links and redundancy | Simplify behaviour under stress |
| Accessibility analysis | Reach to jobs and services | Depends on time thresholds chosen |
| Incident records | Disruption causes and duration | Inconsistent reporting |
Where this page’s references lead.
阅读本页时所对照的机构和文件。状态和版本会变化；每个链接都指向发布机构。
问题与解答。
What is accessibility in transport planning?
What does SDG indicator 11.2.1 measure?
Why are pedestrians at high risk?
Why focus on access rather than traffic speed?
Does the platform assess the safety of specific transport assets?
How does informal transport fit in?
从本页贡献证据。
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.
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