Integrating Volunteered Human Sensor Data into Crowd-sourced Platforms- A Use case on Noise Pollution Monitoring and OpenStreetMap

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Presented at EnviroInfo 2011, Ispra, Italy. Full article reference: Foerster, T., Diaz, L., & Bröring, A. (2011). Integrating Volunteered Human Sensor Data into Crowd-sourced Platforms- A Use case on Noise Pollution Monitoring and OpenStreetMap. In W. Pillmann, S. Schade, & P. Smits (Eds.), Innovations in Sharing Environmental Observation and Information (pp. 505-510). Presented at the 25th EnvironInfo Conference 2011, Ispra, Italy: Shaker Verlag.

Technology

IntegratingVolunteered Human Sensor Data intoCrowd-sourcedPlatforms- A Usecase on Noise Pollution Monitoring andOpenStreetMap 6 October 2011 Theodor Foerster, Laura Diaz & Arne Bröring

VolunteeredGeographic Information 02.05.2000 – selectiveavailability Unauthoritivedata Bottom-up Users contributedata Wikipedia, OpenStreetMap, WikiMapia, FixMyStreet, Flickr Lightweight-systems & protocols

Smartphones Multi-sensor platform In yourpocket (anywhere, anytime) GPS, camera, microphone, accelerometer, pressure, magneticfield, light 3G andWiFiconnection Enablescrowd-sourcing /crowd-sensing VGI

Other examples Noisetube.net www.opennoisemap.org

Common problem Silos ofinformation Novisibility Nocommondataaccess Services not in place Toocomplex Not alwayscompliant

Noise as environmental pollution Effects Hearing loss Cardiological effects Stress Annoyance Emitters Airports, cars, industrial sites, neighborhood, etc. Subjective Cannot be modeled or calculated

Legal motivation source: European Commission Simulated, complex, non-subjective, etc.

www.opennoisemap.org Manual & automated noise assessment Mobile & browser-based visualization Repository of noise measures Acknowledgement: Appel, de Wall, Hopmann, Roß.

OpenStreetMap Collaborative and open platform Inventoryofoutdoorobjects Roads, Crossings, Buildings, POIs Simple datamodel Points, lines, tags Updates throughchangesets Access through APIs

Approach Publishcontent on commonplatform OpenStreetMap Assign tag toexistingornew OSM object Tags formeasuredproperty Visualizethroughspecificrenderers

Implementation Noise community Web Processing Service OSM API Publication Service 12

Example OSM API query select http://api.openstreetmap.org/api/0.6/map?bbox=7.573375599999999,51.9294798,7.5753756,51.9314798 OSM API query  update <?xml version="1.0" encoding="UTF-8" ?> <osm generator="OpenStreetMap server" version="0.6"> <node changeset="8712284" id="273968126" lat="51.9310517" lon="7.5706349" timestamp="2011-07-12T14:25:37Z" uid="478890" user="A_user" version="3" visible="true"> <tag k="noise_day" v="50.1" /> </node> </osm>

Open issues Data licensecompatibility Rendererrequired Discussionwith OSM aboutscalabilityandappropriate tags

Conclusion Crowd-sourceddataneeds a suitableplatform More visibility OSM suitable High visibility & directdataaccess Future research Specificrenderers Specific tag convention

Thanksforyourattention! www.opennoisemap.org swsl.uni-muenster.de gi-zeitgeist.uni-muenster.de

OpenNoiseMap.org is a collaboration platform focused on environmental noise mapping through citizen contributions using smartphone sensors. It allows users to record noise levels on their mobile phones anywhere and upload it to create crowd-sourced noise maps. This helps identify noise pollution sources and their effects. The OpenNoiseMap mobile app automatically records a user's location and noise levels to contribute to a repository of noise measures. Visualizations of noise maps are available on the app and website. The project aims to involve more citizens to record noise in their areas and contribute to research through open interfaces and documentation.

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Integrating Volunteered Human Sensor Data into Crowd-sourced Platforms- A Use case on Noise Pollution Monitoring and OpenStreetMap

1. IntegratingVolunteered Human Sensor Data intoCrowd-sourcedPlatforms- A Usecase on Noise Pollution Monitoring andOpenStreetMap 6 October 2011 Theodor Foerster, Laura Diaz & Arne Bröring

2. VolunteeredGeographic Information 02.05.2000 – selectiveavailability Unauthoritivedata Bottom-up Users contributedata Wikipedia, OpenStreetMap, WikiMapia, FixMyStreet, Flickr Lightweight-systems & protocols

3. Smartphones Multi-sensor platform In yourpocket (anywhere, anytime) GPS, camera, microphone, accelerometer, pressure, magneticfield, light 3G andWiFiconnection Enablescrowd-sourcing /crowd-sensing VGI

4. www.eyeonearth.eu

5. Other examples Noisetube.net www.opennoisemap.org

6. Common problem Silos ofinformation Novisibility Nocommondataaccess Services not in place Toocomplex Not alwayscompliant

7. Noise as environmental pollution Effects Hearing loss Cardiological effects Stress Annoyance Emitters Airports, cars, industrial sites, neighborhood, etc. Subjective Cannot be modeled or calculated

8. Legal motivation source: European Commission Simulated, complex, non-subjective, etc.

9. www.opennoisemap.org Manual & automated noise assessment Mobile & browser-based visualization Repository of noise measures Acknowledgement: Appel, de Wall, Hopmann, Roß.

10. OpenStreetMap Collaborative and open platform Inventoryofoutdoorobjects Roads, Crossings, Buildings, POIs Simple datamodel Points, lines, tags Updates throughchangesets Access through APIs

11. Approach Publishcontent on commonplatform OpenStreetMap Assign tag toexistingornew OSM object Tags formeasuredproperty Visualizethroughspecificrenderers

12. Implementation Noise community Web Processing Service OSM API Publication Service 12

13. Example OSM API query select http://api.openstreetmap.org/api/0.6/map?bbox=7.573375599999999,51.9294798,7.5753756,51.9314798 OSM API query  update <?xml version="1.0" encoding="UTF-8" ?> <osm generator="OpenStreetMap server" version="0.6"> <node changeset="8712284" id="273968126" lat="51.9310517" lon="7.5706349" timestamp="2011-07-12T14:25:37Z" uid="478890" user="A_user" version="3" visible="true"> <tag k="noise_day" v="50.1" /> </node> </osm>

14. Examplecontd.

15. Open issues Data licensecompatibility Rendererrequired Discussionwith OSM aboutscalabilityandappropriate tags

16. Conclusion Crowd-sourceddataneeds a suitableplatform More visibility OSM suitable High visibility & directdataaccess Future research Specificrenderers Specific tag convention

17. Thanksforyourattention! www.opennoisemap.org swsl.uni-muenster.de gi-zeitgeist.uni-muenster.de

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Integrating Volunteered Human Sensor Data into Crowd-sourced Platforms- A Use case on Noise Pollution Monitoring and OpenStreetMap