application

name of the application

Air Visual

reference

author(s), year

https://airvisual.com/

description

short description of the application (one-two sentences)

air quality monitor helping you track, foresee, and take action against invisible threats in the air. Indoor and outdoor

deployment

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

real-life

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, …

stationary

coordination

who can launch a campaign

everyone

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

PM2,5 and CO2 (inside the device fro indoor use), O3, PM10, AQI (data collected from official stations)

other sensing technologies

for example meteorological data, positioning data, …

temperature and humidity (direct indoor, indirect outdoor), wind speed, wind direction, pressure

quantitative: what kind of data is measured

speed, distance, noise, location,…

“CO2 concentration (direct),
PM2.5 concentration (direct),
temperature and humidit (direct),
air quality and meteorological data from nearest outdoor station”

what type of qualitative data is gathered

none

what kind of data is calculated

CO², cost, health, … / What is the basis of calculation (e.g. reference database, European guidelines for external costs, etc.)

data analysis, forecasting, alerting, advising

reporting method

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

via website, smartphone and sensing unit

visualisations

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

maps, graphs, real-time measurements, forcasting, world map

incentives

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

self-monitoring (indoor and in your outdoor neighbourhood), comparison of own results with results from elsewhere (wolrdwide)

applicability of results

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

focus on indoor application (eg smart building management (ventilation),…), compare indoor and outdoor, alerting, forecasting, take action (by pictograms)

limitations

gaps and limitations of the campaign or application

/

remarks

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

additional validation of sensing technology and data analysis methods would be informative

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

both

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