Skip to main content

Systematic Framework of the All-for-One Tourism Digital Ecosystem

  • Conference paper
  • First Online:
  • 1398 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1059))

Abstract

All-for-one tourism is a new mode of regional development, which can promote the coordinated development of economy and society. Due to diverse tourism information sources and scattered data services, the real-time and effectiveness of tourism information service is insufficient, and the “information island” is numerous. In order to integrate and share information resources effectively, and achieve the intelligentialized and real-time all-for-one tourism information services, this paper proposes a systematic framework of all-for-one tourism information system, where tourists and tourist destinations are considered as all-for-one tourism digital ecosystem. The whole mode of this framework was combined with four levels and two parts. Some advanced information technologies such as big data, cloud computing and mobile internet application development were utilized to construct tourism digital ecosystem. How to implement all-for-one tourism information collection, integration, processing and sharing was discussed and the corresponding solution was provided.

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

Buying options

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. Zheng, X.: From digitization to the age of acceleration: on information technology and tourism. Tour. Manag. Perspect. 25, 147–150 (2018)

    Article  Google Scholar 

  2. Pasquale, D.V., Gioconda, M., Valentina, N., Giustina, S.: Creating value from social big data: implications for smart tourism destinations. Inf. Process. Manag. 54(5), 847–860 (2018)

    Article  Google Scholar 

  3. Zhou, X.B., Ma, H.J., Miao, F.: A solution to wisdom tourism cloud based on cloud computing. J. Southeast Univ. 42, 261–264 (2012)

    Google Scholar 

  4. Ren, W.J., Li, X.: Tourism demand analysis based on internet big data: the case of Huairou, Beijing. Syst. Eng.-Theory Pract. 38(02), 437–443 (2018)

    Google Scholar 

  5. Zhang, G.Y., Hu, Z.: Improved BP neural network model and its stability analysis. J. Cent. South Univ. (Sci. Technol.) 42(01), 115–124 (2011)

    Google Scholar 

  6. Wang, S., Du, J.P., Gao, T.: Study and realization of multimedia intelligent tourism navigation system. J. Cent. South Univ. (Sci. Technol.) 40(S1), 335–340 (2009)

    Google Scholar 

  7. Zhu, G.X., Cao, J.: A recommendation engine for travel products based on topic sequential patterns. J. Comput. Res. Dev. 55(5), 920–932 (2018)

    Google Scholar 

  8. Li, X.X., Yu, Y.X., Zhang, W.C., Wang, L.: Mining coteries trajectory patterns for recommending personalized travel routes. J. Softw. 29(3), 587–598 (2018)

    Google Scholar 

  9. Jiang, Z.A., Wang, M., Chen, Y.: Path recommendation based on geographic coordinates and trajectory data. J. Commun. 38(05), 165–171 (2017)

    Google Scholar 

  10. Zhang, W., Han, L.Y., Zhang, D.L., Ren, P.J., Ma, J., Chen, Z.M.: GeoPMF: a distance-aware tour recommendation model. J. Comput. Res. Dev. 54(02), 405–414 (2017)

    Google Scholar 

  11. Guo, T., Guo, B., Zhang, J., Yu, Z., Zhou, X.: Crowd travel: leveraging heterogeneous crowd sourced data for scenic spot profiling. J. Zhejiang Univ. (Eng. Sci.) 51(04), 663–668 (2017)

    Google Scholar 

  12. Liu, G., Wang, X.M., Zhang, J.Q., Li, S.M.: Study on intelligent management and control of tourist attraction based on mobile signaling data. J. Univ. Electron. Sci. Technol. China 44(05), 769–777 (2015)

    Google Scholar 

  13. Han, Q.L., Liang, S., Zhang, H.L.: Mobile cloud sensing, big data, and 5G networks make an intelligent and smart world. IEEE Netw. 29(2), 40–45 (2015)

    Article  Google Scholar 

  14. Li, X.X., Lv, B.F., Zeng, P.Z., Liu, J.X.: Tourism prediction using web search data based on CLSI-EMD-BP. Syst. Eng.-Theory Pract. 37(01), 106–118 (2017)

    Google Scholar 

  15. Jing, W.P., Hu, L.K., Shu, L., Mithun, M., Takahiro, H.: RPR: recommendation for passengers by roads based on cloud computing and taxis traces data. Pers. Ubiquit. Comput. 20(3), 337–347 (2016)

    Article  Google Scholar 

  16. Liu, Y.Y., Tseng, F.M., Tseng, Y.H.: Big data analytics for forecasting tourism destination arrivals with the applied vector autoregression model. Technol. Forecast. Soc. Change 130, 123–134 (2018)

    Article  Google Scholar 

  17. Giacomo, D.C., Rodolfo, B.: Knowledge transfer in smart tourism destinations: analyzing the effects of a network structure. J. Destin. Mark. Manag. 4(3), 145–150 (2015)

    Google Scholar 

Download references

Acknowledgment

This project is supported by Hunan Province Key Research and Development Plan (Grant No. 2017GK2274), the Scientific Research Fund of Hunan Provincial Education Department (Grant No. 15B127), the Key Laboratory of Hunan Province for New Retail Virtual Reality Technology (Grant No. 2017TP1026).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ying Liang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

He, D., Liang, Y., Li, X., Liu, Y., Liu, J. (2019). Systematic Framework of the All-for-One Tourism Digital Ecosystem. In: Mao, R., Wang, H., Xie, X., Lu, Z. (eds) Data Science. ICPCSEE 2019. Communications in Computer and Information Science, vol 1059. Springer, Singapore. https://doi.org/10.1007/978-981-15-0121-0_8

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-0121-0_8

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0120-3

  • Online ISBN: 978-981-15-0121-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics