Supporting Sustainable Mobility Using Mobile Technologies and Personalized Environmental Information: The Citi-Sense-MOB Approach in Oslo, Norway

  • Núria Castell
  • Hai-Ying Liu
  • Franck R. Dauge
  • Mike Kobernus
  • Arne J. Berre
  • Josef Noll
  • Erol Cagatay
  • Reidun Gangdal
Part of the Progress in IS book series (PROIS)


Urban and peri-urban growth is increasing worldwide and Europe is now one of the most urbanized continents in the world. Oslo is one of the fastest growing cities in Europe. This creates pressure on its infrastructure, including traffic and environmental urban quality. Additionally, vehicular traffic is a major contributor to CO2 emissions, which affects climate change. It is recognized that air quality is a major factor for human health, however, although different measures have been implemented, improving air quality and lowering carbon emissions still remains an unsolved problem in Oslo.

The main objective of Citi-Sense-MOB is to demonstrate how using innovative technology to continuously measure air quality at the road level combined with innovative Information and Communication Technologies (ICT) can help to create a dynamic city infrastructure for real-time city management, access to personalized environmental information and sustainable development. The output from the project will be mobile services for citizens and authorities based on the use of near real-time data on air quality and CO2 emissions at road level.

The societal importance of these services arises from a need to mitigate the effects of air pollution and climate change, and to combat respiratory diseases related to traffic air pollution.

In order to motivate citizens to use the information generated by the project, Citi-Sense-MOB will provide them with personalized environmental information, for instance alerting systems when pollution levels exceed a critical threshold. Furthermore, customized information will also be provided to authorities consisting of detailed air quality maps at high spatial resolution and an evaluation of possibilities to reduce CO2 emissions by improving driving practices in public urban fleets.


Citizens Observatories Environmental monitoring Mobile measurements Sustainable mobility 



Citi-Sense-MOB ( is a collaborative project partly funded by The European Mobile and Mobility Industries Alliance (EMMIA) strand II: Large-scale demonstrators in support of GMES and GNSS based services. We would like to thank to the support from Oslo Kommune, Ruter AS and Nobina AS.


  1. 1.
    Environmental European Agency. Air quality in Europe-2013. EEA Report No 9/2013 (2013).Google Scholar
  2. 2.
    European Commission. Reclaiming city streets for people. Chaos or quality of life?, Office for Official Publications of the European Communities (2004).Google Scholar
  3. 3.
    HEI Panel on the Health Effects of Traffic-Related Air Pollution. Traffic-related air pollution: a critical review of the literature on emissions, exposure, and health effects, HEI Special Report 17. Health Effects Institute, Boston, MA. (2010).Google Scholar
  4. 4.
    Leary P.J., Kaufman, J.D., Barr, R.G, Curl, C.L, Hough, C.L, Lima, J.A, Szpiro, A.A, Van Hee V.C, Kawut, S.M. Traffic-related air pollution and the right ventricle. The multi-ethnic study of atherosclerosis. Am. J. Respir. Crit. Care Med, vol.189, pp.1093–100 (2014).Google Scholar
  5. 5.
    WHO. Ambient (outdoor) air quality and health. Fact sheet N°313. Published by World Health Organization. (2014). Accessed 24 February 2015.
  6. 6.
    Liu, H.Y., Skjetne, E, Kobernus, M. Mobile phone tracking: in support of modelling traffic-related air pollution contribution to individual exposure and its implications for public health impact assessment. Environmental Health. vol. 12, pp.93–105 (2013).Google Scholar
  7. 7.
    European Commission. Cities of tomorrow. Challenges, visions, ways forward, European Commission, Directorate General for Regional Policy. Publications Office of the European Union, Luxemburg, 2011.Google Scholar
  8. 8.
    Milton, R., Steed, A. Mapping carbon monoxide using GPS tracked sensors. Environ. Monit. Assess. Vol. 124, pp. 1–19 (2007).CrossRefGoogle Scholar
  9. 9.
    Dutta, P, Aoki, P.M., Kumar, N., Mainwaring, A., Myers, C., Willett, W. and Woodruff, A.. Common Sense: Participatory Urban Sensing Using a Network of Handheld Air Quality Monitors (demonstration). Proc. SenSys 2009, Berkeley, CA, Nov. 2009, 349–350 (2009).Google Scholar
  10. 10.
    Castell, N., Kobernus, M., Liu, H.Y., Schneider, P., Lahoz, W., Berre, A. J., Noll, J. Mobile technologies and services for environmental monitoring: The Citi-Sense-MOB approach. Urban Climate. Available online, (2014).Google Scholar
  11. 11.
    Miljødirektoratet. Annual average concentration of NO2 in five main cities in Norway. Accessed 24 February 2015.
  12. 12.
    Oslo Kommune. European green capital application form Oslo including additional information. Accessed 24 February 2015
  13. 13.
    Engelken-Jorge M, Moreno J, Keune H, Verheyden W, Bartonova A, CITI-SENSE Consortium. Developing citizens’ observatories for environmental monitoring and citizen empowerment: challenges and future scenarios. In Proceedings of the Conference for EDemocracy and Open Government (CeDEM14): 21–23 May 2014; Danube University Krems, Austria. Edited by Parycek P, Edelmann N. pp. 49–60 (2014).Google Scholar
  14. 14.
    Rionda, A., Marín, I., Martínez, D., Aparicio, F., Alija, A., García Allende, A., Miñambres, M., X. G. Pañeda., UrVAMM – A Full service for Environmental-Urban and Driving Monitoring of Professional Fleets. SmartMILE 2013, International Conference on New Concepts in Smart Cities. Gijón, Spain, (2013).Google Scholar
  15. 15.
    Castell, N., Liu, H.Y., Kobernus, M. Berre, A.J., Noll, J., Cagatay, E., Gangdal, R. Mobile technologies and personalized environmental information for supporting sustainable mobility in Oslo: The Citi-Sense-MOB approach. In : Marx Gómez, J., Sonnenschein, M., Vogel, U., Winter, A., Rapp, B., Giesen, N., eds. EnviroInfo 2014 – 28th International Conference on Informatics for Environmental Protection. BIS-Verlag, Oldenburg. ISBN 978-3-8142-2317-9 (2014).Google Scholar
  16. 16.
    NAAF. Norwegian Asthma and Allergy Association. Accessed 24 February 2015.
  17. 17.
    Liu, H.-Y. (ed.) Report contributors: Berre, A.J., Cagatay, E., Liu, H.-Y., Noll, J., Kobernus, M., Castell, N., Fayyad, S., Khattak, W. Citi-Sense-MOB: Conceptual services design document. Kjeller, NILU OR, 19/2014 (2014).Google Scholar
  18. 18.
    ATONE: Service innovation method. Accessed 24 February 2015.
  19. 19.
  20. 20.
    Panis, L.I, deGeus,B., Vandenbulcke,G., Willems,H., Degraeuwe,B., Bleux,N., Mishraa, V., Thomas,I., Meeusen,R., Exposure to particulate matter in traffic: a comparison of cyclists and car passengers. Atmos. Environ, vol. 44, pp. 2263–2270 (2010).Google Scholar
  21. 21.
    Hatzopoulou,M., Weichenthal,S., Barreau, G., Goldberg, W., Farrell, W., Crouse, D., Ross, N. A web-based route planning tool to reduce cyclists' exposures to traffic pollution: A case study in Montreal, Canada. Environ. Res., vol. 123, pp 58–61 (2013).Google Scholar
  22. 22.
    Aleixandre, M., Gerboles, M.,. Review of small commercial sensors for indicative monitoring of ambient gas. Chem. Eng. Trans., vol. 30, pp 169–174 (2012).Google Scholar
  23. 23.
    DunavNet: M2M, Mobile apps, Software & Game. Accessed 24 February 2015.
  24. 24.
    Drosatos, G., Efraimidis, P., Athanasiadis, I., Stevens, M., D’Hondt, E. Privacy-Preserving Computation of Participatory Noise Maps in the Cloud. Journal of Systems and Software, vol 92, pp 170–183 (2014).CrossRefGoogle Scholar
  25. 25.
    S. van den. E, Léger, K., Nussio, F. Comparing urban air quality in Europe in real time A review of existing air quality indices and the proposal of a common alternative. Environment International, vol. 34, pp. 720–726 (2008).Google Scholar
  26. 26.
    Norwegian air quality index. Accessed 24 February 2015.
  27. 27.
    Gerboles, M. Developments and Applications of Sensor Technologies for Ambient Air Monitoring. Workshop “Current and Future Air Quality Monitoring”, Barcelona, (2012).Google Scholar
  28. 28.
    Mead, M.I., Popoola, O. Stewart, G.B., Landshoff, P., Calleja, M., Hayesb, M., Baldovi, J.J., McLeod, M.W., Hodgson, T.F., Dicks, J., Lewis, A., Cohen, J., Baron, R., Saffell, J.R., and Jones, R.L. The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks. Atmospheric Environment, vol. 70, pp. 186–203 (2013).CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Núria Castell
    • 1
  • Hai-Ying Liu
    • 1
  • Franck R. Dauge
    • 1
  • Mike Kobernus
    • 1
  • Arne J. Berre
    • 2
  • Josef Noll
    • 3
  • Erol Cagatay
    • 4
  • Reidun Gangdal
    • 4
  1. 1.NILUKjellerNorway
  2. 2.SINTEFOsloNorway
  3. 3.UNIKKjellerNorway
  4. 4.Kjeller InnovationKjellerNorway

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