name of the application



author(s), year


short description of the application (one-two sentences)

big data infrastructure to continuously gather air quality & weather measurements fromthousands of sources among them more than 7000 official air quality monitoring stations worldwide


status of deployment (for example: real-life project, testing, demonstration,…)


target population

general, public transportation, users, car drivers, truck drivers, children, cyclists,…

general public

software type

open-source (in order to make unique campaigns) or proprietary software

proprietary software

mode of operation

stationary, portable, wearable, …

smartphone app


who can launch a campaign


air quality sensing technologies

which type of sensors or methodes are used to obtain air quality measurements. “Direct” methods refer to devoted sensing devices bought and used by the costumer, “indirect” methods to data collection methods from offial air quality networks

data collection form official stations, no sensing unit

other sensing technologies

for example meteorological data, positioning data, …


quantitative: what kind of data is measured

speed, distance, noise, location,…

air quality data (AQI), meteo

what type of qualitative data is gathered


what kind of data is calculated

CO¬≤, cost, health, … / What is the basis of calculation (e.g. reference database, European guidelines for external costs, etc.)

dispersion algorithms for geomodelling of the air quality at 300 million points every hour, real-time air quality, trend analysis, formulation of actions (actionable health recommendations)

reporting method

which reporting method is used (for example: website or directly on the smartphone’s app, heat maps, dashboard, and/or reports)

smartphone app


method of reporting (visualisation) of the collected data (qualitative representation can be a red or a green light, a text explaining the progress, while quantitative representation consists of numbers or statistics

real-time AQI, map, personalized recommendations


self-monitoring, gamification, rewards, social networks,…

self-monitoring, exposure assessment, outdoor monitoring

applicability of results

are the results useable for policy-makers and how can they obtain this information?

yes, data from official monitoring stations are used for policy. Unknown whether additional data from usage of the application is obtained and further used for policy. Sharing of data through social media is possible, unknow whether further used.


gaps and limitations of the campaign or application

validity of the dispersion model is not documented


other important remarks for the review, links to other projects,

similar to Global Air Quality

quantitative data source

air quality measurements with own device (direct) OR air quality data from official stations or other installed air quality networks (indirect) OR both


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