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GEST-DC: Unifying Transportation and Air Quality Information in an mHealth Application

  • Vivian Genaro MottiEmail author
  • Niloofar Kalantari
  • Pattiya Mahapasuthanon
  • Hui Zheng
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 972)

Abstract

Several mobile applications exist to inform users about air quality conditions for Android in Google Play and for iOS in iTunes. Many dedicated applications also exist to inform users about traffic routes, considering tolls, and transportation means. Air quality and transportation are relevant for users in their daily lives in general, and especially important for vulnerable populations, including older adults, pregnant women and individuals with respiratory diseases. Despite its importance, there is no mobile application that combines information about pollution and transportation. For vulnerable populations, this information enables them to avoid environments that exacerbate their conditions and pose health risks. From a visualization perspective little has been done to assess graphic representations for user interfaces that convey information about pollution levels in geographic information systems. To address these challenges, this paper presents the design, development and evaluation of GEST-DC, an mHealth app that informs air quality levels for commuting routes.

Keywords

mHealth Human factors Transportation Air quality 

References

  1. 1.
    AppGrooves: Best 10 Apps for Air Quality Alerts - AppGrooves: Discover Best iPhone & Android Apps & Games, 24 February 2019. https://appgrooves.com/rank/weather/air-quality/best-apps-for-air-quality-alerts. Accessed Feb 2019
  2. 2.
  3. 3.
    Air quality index (AQI) basics. https://airnow.gov/index.cfm?action=aqibasics.aqi. Accessed Feb 2019
  4. 4.
    Air Pollution: Current and Future Challenges. https://www.epa.gov/clean-air-act-overview/air-pollution-current-and-future-challenges. Accessed Feb 2019
  5. 5.
    Air Matters – A Global Air Quality Service Provider. https://air-matters.com/index.html. Accessed Feb 2019
  6. 6.
    AirNow API. https://docs.airnowapi.org/. Accessed Feb 2019
  7. 7.
    AirVisual - Air quality information you can trust. https://www.airvisual.com/. Accessed Feb 2019
  8. 8.
    Börner, K., Bueckle, A., Ginda, M.: Data visualization literacy: definitions, conceptual frameworks, exercises, and assessments. Proc. Natl. Acad. Sci. 116(6), 1857–1864 (2019)CrossRefGoogle Scholar
  9. 9.
    Chronic Respiratory Disease – Centers for Disease Control and Prevention. https://www.cdc.gov/healthcommunication/toolstemplates/entertainmented/tips/ChronicRespiratoryDisease.html. Accessed Feb 2019
  10. 10.
    Kim, S., Paulos, E., Mankoff, J.: inAir: a longitudinal study of indoor air quality measurements and visualizations. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2745–2754. ACM, April 2013Google Scholar
  11. 11.
    Kim, K.H., Kabir, E., Kabir, S.: A review on the human health impact of airborne particulate matter. Environ. Int. 74, 136–143 (2015)CrossRefGoogle Scholar
  12. 12.
    Kuznetsov, S., Davis, G., Cheung, J., Paulos, E.: Ceci n’est pas une pipe bombe: authoring urban landscapes with air quality sensors. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2375–2384. ACM, May 2011Google Scholar
  13. 13.
    Ministry of Ecology and Environment (MEE), previously named Ministry of Environmental Protection (MEP). http://english.mee.gov.cn/. Accessed Feb 2019
  14. 14.
    Nikzad, N., Verma, N., Ziftci, C., Bales, E., Quick, N., Zappi, P., Patrick, K., Dasgupta, S., Krueger, I., Rosing, T.Š., Griswold, W.G.: CitiSense: improving geospatial environmental assessment of air quality using a wireless personal exposure monitoring system. In: Proceedings of the Conference on Wireless Health, p. 11. ACM, October 2012Google Scholar
  15. 15.
    OpenAQ Platform. https://docs.openaq.org/#api. Accessed Feb 2019
  16. 16.
    Plume Labs. https://plumelabs.com/en/. Accessed Feb 2019
  17. 17.
    Tian, R., Dierk, C., Myers, C., Paulos, E.: MyPart: personal, portable, accurate, airborne particle counting. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 1338–1348. ACM, May 2016Google Scholar
  18. 18.
    Uyanik, I., Khatri, A., Tsiamyrtzis, P., Pavlidis, I.: Design and usage of an ozone mapping app. In: Proceedings of the Wireless Health 2014 on National Institutes of Health, pp. 1–7. ACM, October 2014Google Scholar
  19. 19.
    Uyanik, I., Price, D., Tsiamyrtzis, P., Pavlidis, I.: Interfacing real-time ozone information. In: Proceedings of the 1st ACM SIGSPATIAL International Workshop on MapInteraction, pp. 20–23. ACM, November 2013Google Scholar
  20. 20.
    White, S., Feiner, S.: SiteLens: situated visualization techniques for urban site visits. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1117–1120. ACM, April 2009Google Scholar
  21. 21.
    World Air Quality Index API. https://aqicn.org/api/. Accessed Feb 2019
  22. 22.
    World Health Organization - Air pollution. https://www.who.int/airpollution/en/. Accessed Feb 2019

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Vivian Genaro Motti
    • 1
    Email author
  • Niloofar Kalantari
    • 1
  • Pattiya Mahapasuthanon
    • 1
  • Hui Zheng
    • 1
  1. 1.Human-Centric Design Lab, Department of Information Sciences and TechnologyGeorge Mason UniversityFairfaxUSA

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