G-P05 · TOPIC · transport-and-mobilityGCRI dossier · service level R0
GCRICities and Built EnvironmentIn development
Topic dossier · Cities and Built Environment

Transport and mobility

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.

01In brief

The short answer.

Urban mobility is the movement of people and goods within cities by walking, cycling, public transport and vehicles. It decides who can reach jobs, schools and care, at what cost in time, money and pollution. Land use, network design and investment shape it, and accessibility measures show who is left out.

02Geography

Infrastructure exposure in India.

For transport and mobility, in GCRI's spatial-intelligence reading, the map opens on population density, night lights and true-colour imagery, framed on India; 3 further NASA layers wait in the list.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 3

Infrastructure exposure, for this page

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

For transport and mobility, in GCRI's spatial-intelligence reading, the map opens on population density, night lights and true-colour imagery, framed on India; 3 further NASA layers wait in the list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · GDACS · Copernicus Sentinel-2 L2ASources and licences

  • 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 H3 cells where shown (modified). NASA open data
  • 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 H3 cells where shown (modified). NASA open data
  • 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). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). CC BY 4.0
  • VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
  • Live: NASA EONET Events are indicative, not official warnings.
  • Live: GDACS (EC JRC / UN OCHA) Events are indicative, not official warnings.
  • Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer
  • Optional layers (14 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE · 13 Oct 2026
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026

03The question

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.

Mechanism

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.

Mechanism

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.

Mechanism

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.

Mechanism

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.

04Key terms

Terms used on this page.

Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.

TermDefinition
AccessibilityThe ease of reaching destinations such as jobs and services, measured by those reachable within a time or cost.
Mode shareThe proportion of trips made by each mode of transport.
Sustainable urban mobility planA strategic plan to meet a city's mobility needs while improving quality of life.
05Indicators

What is measured, and how well.

Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.

IndicatorUnitCadenceSource typeLabel
Population with convenient access to public transportpercent of populationper assessmentSDG indicator 11.2.1 methodsESTIMATED
Jobs reachable within a stated travel timecount by modeper assessmentAccessibility analysisMODELLED
Road traffic deathsdeaths per hundred thousand populationannualPolice and health recordsOFFICIAL
Mode sharepercent of trips by modeper surveyHousehold travel surveysREPORTED
Household spending on transportshare of household budgetper surveyHousehold budget surveysESTIMATED
Transport emissionstonnes of carbon dioxide equivalentannualCity emissions inventoriesESTIMATED
06Canvas

From sources to decisions.

The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.

Pipeline canvas · Transport and mobility as a run graphDesign, not a record
Transport and mobility: asset register to adaptation optionsThe asset register is overlaid on hazard layers to find exposure; vulnerability classes turn exposure into expected damage; assets are ranked and adaptation options costed into the capital plan. Design of the process, not a record of a run.

Fig. 02Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.

07Sources

Where the evidence comes from.

Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.

SourceWhat it givesLicence class
GTFS public transport feedsSchedules, routes and stops published by agenciesOpen, licence per agency
OpenStreetMapStreet, path and transit networksOpen, ODbL
WHO Global status report on road safetyRoad traffic deaths and safety legislation by countryPublic, WHO terms of use
UN-Habitat SDG 11.2.1 dataAccess to public transport in citiesPublic, UN-Habitat terms (to check)
Household travel surveysTrips by purpose, mode and timeLicence per survey
08Decisions

Who decides, and what the evidence serves.

Cities and Built Environment prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.

Who decidesThe questionEvidence this page serves
City transport authoritiesWhich corridors and modes to invest inAccessibility maps; mode share; safety analyses
Road safety agenciesWhere to change speeds and street designCrash analyses by location and user
Land use plannersHow to place housing and jobs to shorten tripsAccessibility evidence

Outputs this topic produces

  • 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
09Core questions

What experts ask.

  1. 01

    Who can reach what?

    How access to jobs and services varies by neighbourhood, income, gender, age and disability.

  2. 02

    Where are the critical links?

    Which bridges, tunnels, interchanges and corridors, if lost, would cut access for many people.

  3. 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.

  4. 04

    How do evacuation and response work?

    Whether networks can move people out and responders in during emergencies.

10Mechanisms

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.

11Methods and limits

How evidence is gathered, and where it stops.

Method or dataWhat it showsIts limit
Travel surveys and smart-card dataWho travels where and whenMiss informal transport and non-users
Network modelsCritical links and redundancySimplify behaviour under stress
Accessibility analysisReach to jobs and servicesDepends on time thresholds chosen
Incident recordsDisruption causes and durationInconsistent reporting
12Methods

How it is studied, and what the methods cannot say.

13Questions

Questions and answers.

What is accessibility in transport planning?
The ease with which people can reach destinations such as jobs, schools and health care, measured by the number of destinations reachable within a travel time or cost.
What does SDG indicator 11.2.1 measure?
The proportion of a city's population with convenient access to public transport, defined by walking distance to a stop.
Why are pedestrians at high risk?
Because they are unprotected in collisions, and street design and speeds often prioritise vehicles. Lower speeds and safer crossings reduce pedestrian deaths.
Why focus on access rather than traffic speed?
Because what matters for people is reaching jobs and services. Faster traffic can coexist with poor access for those without cars.
Does the platform assess the safety of specific transport assets?
No. Asset safety is the responsibility of operators and regulators. The platform publishes network-level research.
How does informal transport fit in?
In many cities, informal minibuses and motorcycles carry much of the travel. Research includes them wherever data and consent allow.
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