Skip to main content
SpringerLink
Log in
Book cover

International Conference on Business Information Systems

BIS 2017: Business Information Systems Workshops pp 179–190Cite as

Human-Computer Cloud for Smart Cities: Tourist Itinerary Planning Case Study

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 303))

Abstract

The development of smart cities provides a lot of data and services that can be utilized to improve the tourists’ experience during the trip. Information technologies affect directly the development of tourism industry. Tourists and cities’ inhabitants take an active part in the production of tourism products, as well as in sharing their knowledge and experience. To help them in this activity and provide an interface to communicate with other people and computer resources the human-computer cloud concept has been viewed. The paper proposes a workflow that uses computer and human processing units for tourist’s itinerary planning. The workflow integrates data analysis from various sources with computer and human-based calculation of itineraries in the cloud system. The case is implemented based on the smart destination services of St. Petersburg, Russia.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. UNWTO: Tourism highlights. http://www.e-unwto.org/doi/pdf/10.18111/9789284418145

  2. Buhalis, D.: ETourism: Information Technology for Strategic Tourism Management. Financial Times Prentice Hall, Harlow (2003)

    Google Scholar 

  3. Gretzel, U., Reino, S., Kopera, S., Koo, C.: Smart tourism challenges. J. Tour. 16, 41–47 (2015)

    Google Scholar 

  4. Khan, Z., Anjum, A., Soomro, K., Tahir, M.A.: Towards cloud based big data analytics for smart future cities. J. Cloud Comput. 4, 1–11 (2015)

    Article  Google Scholar 

  5. Smirnov, A., Ponomarev, A.: Crowd computing framework for geoinformation tasks. In: Popovich, V., Claramunt, C., Schrenk, M., Korolenko, K., Gensel, J. (eds.) Information Fusion and Geographic Information Systems (IF&GIS’ 2015). LNGC. Springer, Cham (2015). doi:10.1007/978-3-319-16667-4_7

    Google Scholar 

  6. Adla, A., Nachet, B., Ould-Mahraz, A.: Multi-agents model for web-based collaborative decision support systems. In: CEUR Workshop Proceedings, pp. 294–299 (2012)

    Google Scholar 

  7. Gowri, S., Vigneshwari, S., Sathiyavathi, R., Kalai Lakshmi, T.R.: A framework for group decision support system using cloud database for broadcasting earthquake occurrences. In: Proceedings of the International Congress on Information and Communication Technology, pp. 611–615 (2016)

    Google Scholar 

  8. Sun, X., Cai, C., Shen, X.: A new cloud model based human-machine cooperative path planning method. J. Intell. Robot. Syst. 79, 3–19 (2015)

    Article  Google Scholar 

  9. Distefano, S., Merlino, G., Puliafito, A.: SAaaS: a framework for volunteer-based sensing clouds. Parallel Cloud Comput. 1(2), 21–33 (2012). http://mdslab.unime.it/node/134

    Google Scholar 

  10. Merlino, G., Arkoulis, S., Distefano, S., Papagianni, C., Puliafito, A., Papavassiliou, S.: Mobile crowdsensing as a service: a platform for applications on top of sensing Clouds. Future Gener. Comput. Syst. 56, 623–639 (2016)

    Article  Google Scholar 

  11. Formisano, C., Pavia, D., Gurgen, L., Yonezawa, T., Galache, J.A., Doguchi, K., Matranga, I.: The advantages of IoT and cloud applied to smart cities. In: 2015 3rd International Conference on Future Internet of Things and Cloud, pp. 325–332. IEEE (2015)

    Google Scholar 

  12. Dustdar, S., Bhattacharya, K.: The social compute unit. IEEE Internet Comput. 15, 64–69 (2011)

    Article  Google Scholar 

  13. Sengupta, B., Jain, A., Bhattacharya, K., Truong, H.-L., Dustar, S.: Collective problem solving using social compute units. Int. J. Coop. Inf. Syst. 22, 1–21 (2013)

    Article  Google Scholar 

  14. Mavridis, N., Bourlai, T., Ognibene, D.: The human-robot cloud: situated collective intelligence on demand. In: 2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), pp. 360–365. IEEE (2012)

    Google Scholar 

  15. Mavridis, N., Konstantopoulos, S., Vetsikas, I., Heldal, I., Karampiperis, P., Mathiason, G., Thill, S., Stathis, K., Karkaletsis, V.: CLIC: A Framework for Distributed, On-Demand, Human-Machine Cognitive Systems. arXiv:1312.2242 (2013)

  16. Mavridis, N., Pierris, G., Benabdelkader, C., Krstikj, A., Karaiskos, C.: Smart buildings and the human-machine cloud. In: 2015 IEEE 8th GCC Conference and Exhibition, GCCCE 2015, pp. 1–6. IEEE (2015)

    Google Scholar 

  17. Smirnov, A., Ponomarev, A., Levashova, T., Teslya, N.: Human-computer cloud for decision support in tourism: approach and architecture. In: Balandin, S., Tyutina, T. (eds.) Proceedings of the FRUCT 19. pp. 226–235, Jyvaskyla, Finland (2016)

    Google Scholar 

  18. Scekic, O., Truong, H.-L., Dustdar, S.: Incentives and rewarding in social computing. Commun. ACM 56, 72 (2013)

    Article  Google Scholar 

  19. Little, G., Chilton, L.B., Goldman, M., Miller, R.C.: Exploring iterative and parallel human computation processes. In: Proceedings of the ACM SIGKDD Workshop on Human Computation - HCOMP 2010, p. 68. ACM Press, New York (2010)

    Google Scholar 

  20. Gretzel, U., Werthner, H., Koo, C., Lamsfus, C.: Conceptual foundations for understanding smart tourism ecosystems. Comput. Hum. Behav. 50, 558–563 (2015)

    Article  Google Scholar 

  21. Castelein, W., Grus, L., Crompvoe, J., Bregt, A.: A characterization of volunteered geographic information. In: 13th AGILE International Conference on Geographic Information Science, pp. 1–10 (2010)

    Google Scholar 

  22. Mashhadi, A., Quattrone, G., Capra, L.: The impact of society on volunteered geographic information: the case of OpenStreetMap. In: Jokar Arsanjani, J., Zipf, A., Mooney, P., Helbich, M. (eds.) OpenStreetMap in GIScience. LNGC, pp. 125–141. Springer International Publishing, Cham (2015). doi:10.1007/978-3-319-14280-7_7

    Google Scholar 

  23. Coleman, D.J., Georgiadou, Y., Labonte, J., Observation, E., Canada, N.R.: Volunteered geographic information: the nature and motivation of produsers. Int. J. Spat. Data Infrastruct. Res. 4, 332–358 (2009)

    Google Scholar 

  24. Seigerroth, U., Kaidalova, J., Shilov, N., Kaczmarek, T.: Semantic web technologies in business and IT alignment: multi-model algorithm of ontology matching. In: Fifth International Conference on Advances in Future Internet, pp. 50–56 (2013)

    Google Scholar 

  25. World’s Leading Cultural City Destination 2016 – World Travel Awards. https://www.worldtravelawards.com/award-worlds-leading-cultural-city-destination-2016

  26. St. Petersburg Public Transport Portal. http://transport.orgp.spb.ru/Portal/transport/main?lang=en

  27. Smirnov, A., Kashevnik, A., Shilov, N., Teslya, N., Shabaev, A.: Mobile application for guiding tourist activities: tourist assistant - TAIS. In: Conference of Open Innovation Association, FRUCT, pp. 95–100. IEEE Computer Society (2014)

    Google Scholar 

  28. Smirnov, A., Kashevnik, A., Ponomarev, A., Shilov, N., Teslya, N.: Proactive recommendation system for m-tourism application. In: Johansson, B., Andersson, B., Holmberg, N. (eds.) BIR 2014. LNBIP, vol. 194, pp. 113–127. Springer, Cham (2014). doi:10.1007/978-3-319-11370-8_9

    Google Scholar 

  29. Smirnov, A., Teslya, N., Shilov, N., Kashevnik, A.: Context-based trip planning in infomobility system for public transport. In: Abraham, A., Kovalev, S., Tarassov, V., Snášel, V. (eds.) IITI 2016. AISC, vol. 450, pp. 361–371. Springer, Cham (2016). doi:10.1007/978-3-319-33609-1_33

    Google Scholar 

  30. Google: GTFS Static Overview. https://developers.google.com/transit/gtfs/

Download references

Acknowledgements

The research is funded by the Russian Science Foundation (Project # 16-11-10253).

Author information

Authors and Affiliations

  1. SPIIRAS, St. Petersburg, Russia

    Alexander Smirnov, Andrew Ponomarev, Nikolay Teslya & Nikolay Shilov

Authors
  1. Alexander Smirnov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Andrew Ponomarev
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nikolay Teslya
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Nikolay Shilov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nikolay Teslya .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznań, Poland

    Witold Abramowicz

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Smirnov, A., Ponomarev, A., Teslya, N., Shilov, N. (2017). Human-Computer Cloud for Smart Cities: Tourist Itinerary Planning Case Study. In: Abramowicz, W. (eds) Business Information Systems Workshops. BIS 2017. Lecture Notes in Business Information Processing, vol 303. Springer, Cham. https://doi.org/10.1007/978-3-319-69023-0_16

Download citation

Publish with us

Policies and ethics

Search

Navigation