Papers
Topics
Authors
Recent
2000 character limit reached

PureNav: A Personalized Navigation Service for Environmental Justice Communities Impacted by Planned Disruptions (2402.11180v1)

Published 17 Feb 2024 in cs.SI and cs.HC

Abstract: Planned disruptions such as highway constructions are commonplace nowadays and the communities living near these disruptions generally tend to be environmental justice communities -- low socioeconomic status with disproportionately high and adverse human health and environmental effects. A major concern is that such activities negatively impact people's well-being by disrupting their daily commutes via frequent road closures and increased dust and air pollution. This paper addresses this concern by developing a personalized navigation service called PureNav to mitigate the negative impacts of disruptions in daily commutes on people's well-being. PureNav has been designed using active engagement with four environmental justice communities affected by major highway construction. It has been deployed in the real world among the members of the four communities, and a detailed analysis of the data collected from this deployment as well as surveys show that PureNav is potentially useful in improving people's well-being. The paper describes the design, implementation, and evaluation of PureNav, and offers suggestions for further improving its efficacy.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (20)
  1. CDOT, “Central 70 Project,” Apr. 2019. [Online]. Available: https://www.codot.gov/projects/i70east
  2. R. D. Bullard and B. H. Wright, “Environmental Justice for all: Community Perspectives on Health and Research,” Toxicology and Industrial Health, vol. 9, no. 5, pp. 821–841, Sep. 1993, publisher: SAGE Publications Ltd STM.
  3. M. Anderson, “More Americans using smartphones for getting directions, streaming TV,” Jan. 2016, publisher: Pew Research Center.
  4. B. P. V. Samson and Y. Sumi, “Exploring Factors that Influence Connected Drivers to (Not) Use or Follow Recommended Optimal Routes,” in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, ser. CHI ’19.   New York, NY, USA: Association for Computing Machinery, May 2019, pp. 1–14.
  5. E. Ben-Elia and E. Avineri, “Response to Travel Information: A Behavioural Review,” Transport Reviews, vol. 35, no. 3, pp. 352–377, May 2015, publisher: Routledge.
  6. W. Sha, D. Kwak, B. Nath, and L. Iftode, “Social vehicle navigation: integrating shared driving experience into vehicle navigation,” in Proceedings of the 14th Workshop on Mobile Computing Systems and Applications, ser. HotMobile ’13.   New York, NY, USA: Association for Computing Machinery, Feb. 2013, pp. 1–6.
  7. S. Zhu and D. Levinson, “Do People Use the Shortest Path? An Empirical Test of Wardrop’s First Principle,” PLOS ONE, vol. 10, no. 8, p. e0134322, Aug. 2015, publisher: Public Library of Science.
  8. U. Levine, A. Shinar, and E. Shabtai, “System and method for realtime community information exchange,” US Patent US8 762 035B2, Jun., 2014.
  9. V. Ceikute and C. S. Jensen, “Routing Service Quality – Local Driver Behavior Versus Routing Services,” in 2013 IEEE 14th International Conference on Mobile Data Management, vol. 1, Jun. 2013, pp. 97–106, iSSN: 2375-0324.
  10. B. Pfleging, S. Schneegass, A. Meschtscherjakov, and M. Tscheligi, “Experience Maps: Experience-Enhanced Routes for Car Navigation,” in Adjunct Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, ser. AutomotiveUI ’14.   New York, NY, USA: Association for Computing Machinery, Sep. 2014, pp. 1–6.
  11. T. Fujino, A. Hashimoto, H. Kasahara, M. Mori, M. Iiyama, and M. Minoh, “Detecting Deviations from Intended Routes Using Vehicular GPS Tracks,” ACM Transactions on Spatial Algorithms and Systems, vol. 4, no. 1, pp. 1:1–1:21, Jun. 2018.
  12. B. Brown and E. Laurier, “The normal natural troubles of driving with GPS,” in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ser. CHI ’12.   New York, NY, USA: Association for Computing Machinery, May 2012, pp. 1621–1630.
  13. K. Patel, M. Y. Chen, I. Smith, and J. A. Landay, “Personalizing routes,” in Proceedings of the 19th annual ACM symposium on User interface software and technology, ser. UIST ’06.   New York, NY, USA: Association for Computing Machinery, Oct. 2006, pp. 187–190.
  14. N. E. Boudette, “Biggest spike in traffic deaths in 50 years? blame apps,” New York Times, vol. 15, 2016.
  15. K. Christensen, C. Mertz, P. Pillai, M. Hebert, and M. Satyanarayanan, “Towards a Distraction-free Waze,” in Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications, ser. HotMobile ’19.   New York, NY, USA: Association for Computing Machinery, Feb. 2019, pp. 15–20.
  16. T. McWilliams, B. Reimer, B. Mehler, J. Dobres, and J. F. Coughlin, “Effects of age and smartphone experience on driver behavior during address entry: a comparison between a Samsung Galaxy and Apple iPhone,” in Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, ser. AutomotiveUI ’15.   New York, NY, USA: Association for Computing Machinery, Sep. 2015, pp. 150–153.
  17. J. E. Yu and D. Chattopadhyay, ““Maps are hard for me”: Identifying How Older Adults Struggle with Mobile Maps,” in Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility, ser. ASSETS ’20.   New York, NY, USA: Association for Computing Machinery, Oct. 2020, pp. 1–8.
  18. M. C. Carlson, L. Hasher, S. L. Connelly, and R. T. Zacks, “Aging, distraction, and the benefits of predictable location.” Psychology and aging, vol. 10, no. 3, p. 427, 1995, iSBN: 1939-1498 Publisher: American Psychological Association.
  19. A. Al Mahmud, O. Mubin, and S. Shahid, “User experience with in-car GPS navigation systems: comparing the young and elderly drivers,” in Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services, 2009, pp. 1–2.
  20. C. López, R. Farzan, and Y.-R. Lin, “Behind the Myths of Citizen Participation: Identifying Sustainability Factors of Hyper-Local Information Systems,” ACM Transactions on Internet Technology, vol. 18, no. 1, pp. 11:1–11:28, Nov. 2017.
Citations (4)

Summary

We haven't generated a summary for this paper yet.

Slide Deck Streamline Icon: https://streamlinehq.com

Whiteboard

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets

Sign up for free to view the 1 tweet with 0 likes about this paper.