Skip to main content

Advertisement

Log in

An Enhanced Hybrid LBS and Its Prototype for Supporting Backpackers in Beijing

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

With the development of economic and people’s living standards, more and more people join the ranks of backpackers, which have brought a lot of pressures to the society. It’s the emergence of an enhanced hybrid location-based services (LBS) to solve this problem. LBS are classified into three categories, i.e. Reactive LBS, Proactive LBS, and Hybrid LBS (H-LBS). The prototype of H-LBS for supporting backpackers in Beijing was discussed. There are several services to support backpackers by H-LBS, for example travel insurance services, tourism planning services, in which kernel density estimation was used to calculate the hotspots, and travel process support services.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. Wac, K., & Ragia, L. (2008). LSPEnv: Location-based service provider for environmental data. Journal of Location Based Services, 2(4), 287–302.

    Article  Google Scholar 

  2. Mooney, P., Corcoran, P., & Winstanley, A. C. (2010). Geospatial data issues in the provision of location-based services. In Gartner, G. (Ed.), Proceedings of the 7th international symposium on LBS & TeleCartography, South China Normal University, Guangzhou, China.

  3. Yin, X., Ding, Z., & Li, J. (2008). A shortest path algorithm of moving objects in spatial network databases. Progress in Natural Science, 18, 893–899.

    Article  MathSciNet  Google Scholar 

  4. Kupper, A. (2005). Location-based services fundamentals and operation. New York: Wiley.

    Book  Google Scholar 

  5. Petrova, K., & Wang, B. (2011). Location-based services deployment and demand: A roadmap model. Electronic Commerce Research, 11(1), 5–29.

    Article  Google Scholar 

  6. Antikainen, H., Rusanen, J., Vartiainen, S., Myllyaho, M., Karvonen, J., Oivo, M., et al. (2006). Location-based services as a tool for developing tourism in marginal regions. Nordia Geographical Publications, 35(2), 39–50.

    Google Scholar 

  7. Docter, J., Licciardi, C. A., & Marchetti, M. (2007 July). The telecom industry and context awareness. In International conference on the management of mobile business, 2007 (ICMB 2007) (pp. 35–35), IEEE.

  8. Fritsch, L., & Scherner, T. (2005). A multilaterally secure, privacy-friendly location-based service for disaster management and civil protection. In Networking-ICN 2005 (pp. 1130–1137). Berlin: Springer.

  9. Koutsiouris, V., Polychronopoulos, C., & Vrechopoulos, A. (2007 July). Developing 3G location based services: The case of an innovative entertainment guide application. In International conference on the management of mobile business, 2007 (ICMB 2007) (pp. 1–1), IEEE.

  10. Richter, K. F., Dara-Abrams, D., & Raubal, M. (2010 September). Navigating and learning with location based services: A user-centric design. In Proceedings of the 7th international symposium on LBS and telecartography (pp. 261–276).

  11. Virrantaus, K., Markkula, J., Garmash, A., Terziyan, V., Veijalainen, J., Katanosov, A., et al. (2001 December). Developing GIS-supported location-based services. In Proceedings of the second international conference on Web information systems engineering, 2001 (Vol. 2, pp. 66–75), IEEE.

  12. Schiller, J., & Voisard, A. (Eds.). (2004). Location-based services. Elsevier.

  13. Jiang, B., & Yao, X. (2006). Location-based services and GIS in perspective. Computers, Environment and Urban Systems, 30(6), 712–725.

    Article  MathSciNet  Google Scholar 

  14. Spiekermann, S. (2004). General aspects of location-based services. In Location-based services.

  15. D’Roza, T., & Bilchev, G. (2003). An overview of location-based services. BT Technology Journal, 21(1), 20–27.

    Article  Google Scholar 

  16. Werthner, H. (2000). Bericht der AG eTourismus. Wien 2000. Download: http://www.bmwa.gv.at/ebusiness/.2002-03-19.

  17. Schmidt-Belz, B., Makelainen, M., Nick, A., Poslad, S., Wöer, K., Frew, A. J., et al. (2002). Intelligent brokering of tourism services for mobile users. In Information and communication technologies in tourism 2002: Proceedings of the International Conference in Innsbruck (pp. 275–284), Austria: Springer, Wien.

  18. Chang, S. E., Hsieh, Y. J., Chen, C. W., Liao, C. K., & Wang, S. T. (2006). Location-based services for tourism industry: An empirical study. In Ubiquitous intelligence and computing (pp. 1144–1153). Berlin: Springer..

  19. Zipf, A. (2002). User-adaptive maps for location-based services (LBS) for tourism. In Proceedings of the 9th international conference for information and communication technologies in tourism, ENTER.

  20. Francica, J (2002). Location-based Services: Where Wireless Meets GIS. In Business geographics. Download: http://www.geoplace.com/bg/2000/1000/1000spf.asp.2002-03-19.

  21. Steinfield, C. (2004). The development of location based services in mobile commerce. In E-Life after the Dot Com Bust (pp. 177–197), Physica-Verlag HD.

  22. Van de Kar, E., & Bouwman, H. (2001). The development of location based mobile services. In Edispuut conference, Amsterdam, October 17.

  23. Levijoki, S. (2001). Privacy vs location awareness. Unpublished manuscript, Helsinki University of Technology.

  24. Han, J., Kamber, M., & Pei, J. (2006). Data mining: Concepts and techniques. Beijing: China Machine Press.

  25. Anderson, T. K. (2009). Kernel density estimation and K-means clustering to profile road accident hotspots. Accident Analysis & Prevention, 41(3), 359–364.

    Article  Google Scholar 

  26. Vokoun, J. C. (2003). Kernel density estimates of linear home ranges for stream fishes: Advantages and data requirements. North American Journal of Fisheries Management, 23(3), 1020–1029.

    Article  Google Scholar 

Download references

Acknowledgments

This study is supported by the funding from National Natural Science Foundation of China (41071284) and Guangzhou Planning Project of Science & Technology (2010Y1-C711).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Linyuan Xia.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Huang, Q., Xia, L. & Wu, D. An Enhanced Hybrid LBS and Its Prototype for Supporting Backpackers in Beijing. Wireless Pers Commun 77, 433–448 (2014). https://doi.org/10.1007/s11277-013-1514-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-013-1514-0

Keywords