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Co-utility pp 117-138 | Cite as

Co-utile Ridesharing

  • David SánchezEmail author
  • Sergio Martínez
  • Josep Domingo-Ferrer
Chapter
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 110)

Abstract

Ridesharing has the potential to bring a wealth of benefits both to the actors directly involved in the shared trip (e.g., shared travel costs or access to high-occupancy vehicle facilities) and also to the society in general (e.g., reduced traffic congestion and CO\(_{2}\) emissions). However, even though ridesharing is based on a win-win collaboration and modern mobile communication technologies have significantly eased discovering and managing ride matches, the adoption of ridesharing has paradoxically decreased during the last years. In this respect, recent studies have highlighted how privacy concerns and the lack of trust among peers are crucial issues that hamper the success of ridesharing. In this chapter, we tackle both of these issues by means of (i) a fully decentralized P2P ridesharing management network that avoids centralized ride-matching agencies (and hence private data compilation by such agencies); and (ii) an also decentralized reputation management protocol that brings trust among peers, even when they have not previously interacted. Our proposal rests on co-utility, which ensures that rational (even purely selfish) peers will find no incentives to deviate from the prescribed protocols. We have tested our system by using data gathered from real mobility traces of cabs in the San Francisco Bay area, and according to several metrics that quantify the degree of adoption of ridesharing and the ensuing individual and societal benefits.

Notes

Acknowledgements

Funding by the Templeton World Charity Foundation (grant TWCF0095/AB60 “CO-UTILITY”) is gratefully acknowledged. Also, partial support to this work has been received from the Government of Catalonia (ICREA Acadèmia Prize to J. Domingo-Ferrer and grant 2014 SGR 537), the Spanish Government (projects TIN2014-57364-C2-1-R “SmartGlacis”, TIN2015-70054-REDC and TIN2016-80250-R “Sec-MCloud”) and the European Commission (projects H2020-644024 “CLARUS” and H2020-700540 “CANVAS”). The authors are with the UNESCO Chair in Data Privacy, but the views in this work are the authors’ own and are not necessarily shared by UNESCO or any of the funding bodies.

References

  1. 1.
    Agatz, N.A.H., Erera, A.L., Savelsbergh, M.W.P., Wang, X.: Optimization for dynamic ridesharing: a review. Eur. J. Oper. Res. 223(2), 295–303 (2012)CrossRefzbMATHGoogle Scholar
  2. 2.
    Amey, A.M.: A proposed methodology for estimating ridesharing viability within an organization, application to the MIT community. In: Transportation Research Board Annual Meeting (2011)Google Scholar
  3. 3.
    Buliung, R., Soltys, K., Bui, R., Habel, C., Lanyon, R.: Catching a ride on the inforamtion super-highway: toward an understanding of internet-based carpool formation and use. Transportation 37(6), 849–873 (2010)CrossRefGoogle Scholar
  4. 4.
    Castro, M., Druschel, P., Hu, Y.C., Rowstron, A. Exploiting network proximity in peer-to-peer overlay networks. Technical report MSR-TR-2002-82 (2002)Google Scholar
  5. 5.
    Caulfield, B.: Estimating the environmental benefits of ridesharing: A case study of Dublin. Transp. Res. D 14, 527–531 (2009)CrossRefGoogle Scholar
  6. 6.
    Chan, N.D., Shaheen, S.A.: Ridesharing in North America: past, present and future. Transp. Rev. 32(1), 93–112 (2012)CrossRefGoogle Scholar
  7. 7.
    Chaube, V., Kavanaugh, A.L., Pérez-Quiones, M.A.: Leveraging social networks to embed trust in rideshare programs. In: Proceedings of the Hawaii International Conference on System Sciences (HICSS), pp. 1–8 (2010)Google Scholar
  8. 8.
    Dailey, D.J., Loseff, D., Meyers, D.: Seattle smart traveler: dynamic ridematching on the world wide web. Transp. Res. C 7(1), 17–32 (1999)CrossRefGoogle Scholar
  9. 9.
    Deering, S.E., Cheriton, D.R.: Multicast routing in datagram internetworks and extended LANs. ACM Trans. Comput. Syst. 8(2), 85–110 (1990)CrossRefGoogle Scholar
  10. 10.
    Domingo-Ferrer, J., Farràs, O., Martínez, S., Sánchez, D., Soria-Comas, J.: Self-enforcing protocols via co-utile reputation management. Inf. Sci. 367(C), 159–175 (2016)Google Scholar
  11. 11.
    Domingo-Ferrer, J., Martínez, S., Sánchez, D., Soria-Comas, J.: Co-utility: self-enforcing protocols for the mutual benefit of participants. Eng. Appl. Artif. Intell. 59, 148–158 (2017)CrossRefGoogle Scholar
  12. 12.
    Domingo-Ferrer, J., Sánchez, D., Soria-Comas, J.: Co-utility: self-enforcing collaborative protocols with mutual help. Prog. Artif. Intell. 5(2), 105–110 (2016)CrossRefGoogle Scholar
  13. 13.
    Furuhata, F., Dessouky, M., Ordóñez, F., Brunet, M.E., Wang, X., Koening, S.: Ridesharing: the state-of-the-art and future directions. Transp. Res. B 57, 28–46 (2013)CrossRefGoogle Scholar
  14. 14.
    Jurca, R., Faltings, B.: An incentive compatible reputation mechanism. In: Proceedings of the IEEE International Conference on E-Commerce (CEC), pp. 285–292 (2003)Google Scholar
  15. 15.
    Morency, C.: The ambivalence of ridesharing. Transportation 34(2), 239–253 (2007)CrossRefGoogle Scholar
  16. 16.
    Office of Highway Policy Information (2013) Annual Vehicle Distance Traveled in Miles and Related Data. https://www.fhwa.dot.gov/policyinformation/statistics/2013/vm1.cfm. Accessed 26 Feb 2016
  17. 17.
    Office of Transportation and Air Quality (2016) Measuring Greenhouse Gas Emissions from Transportation. http://www3.epa.gov/otaq/climate/measuring.htm. Accessed 26 Feb 2016
  18. 18.
    Park, H., Gebeloff, R.: Car-pooling declines as driving becomes cheaper. The New York Times. Accessed 29 Jan 2011Google Scholar
  19. 19.
    Piorkowski, M., Sarafijanovoc-Djukic, N., Grossglauser, M.: A parsimonious model of mobile partitioned networks with clustering. In: Proceedings of the International Conference on COMmunication Systems and NETworkS (COMSNETS) (2009)Google Scholar
  20. 20.
    Resnick, P., Zeckhauser, R.: Trust among strangers in internet transactions: empirical analysis of eBay’s reputation system. Econ. Internet E-Commerce 11, 127–157 (2002)CrossRefGoogle Scholar
  21. 21.
    Sánchez, D., Martínez, S., Domingo-Ferrer, J.: Co-utile P2P ridesharing via decentralization and reputation management. Transp. Res. C 73, 147–166 (2016)CrossRefGoogle Scholar
  22. 22.
    Schrank, D., Lomax, T.: Urban mobility report. Texas Transportation Technical Report (2007)Google Scholar
  23. 23.
    Stoica, I., Morris, R., Karger, D., Frans Kaashoek, M., Balakrishnan, H.: Chord: A scalable peer-to-peer lookup service for internet applications. In: Proceedings of the 2001 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications (SIGCOMM ’01), pp. 149–160. ACM (2001)Google Scholar
  24. 24.
    Turi, A.N., Domingo-Ferrer, J., Sánchez, D.: Filtering P2P loans on co-utile reputation. In: Proceedings of the 13th International Conference on Applied Computing, AC 2016, pp. 139–146 (2016)Google Scholar
  25. 25.
    U.S. Federal Trade Commission. Data Brokers, A Call for Transparency and Accountability (2014)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • David Sánchez
    • 1
    Email author
  • Sergio Martínez
    • 1
  • Josep Domingo-Ferrer
    • 1
  1. 1.UNESCO Chair in Data Privacy, Department of Computer Science and MathematicsUniversitat Rovira i VirgiliTarragona, CataloniaSpain

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