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Framework for Assessing the Smartness Maturity Level of Villages

Part of the Communications in Computer and Information Science book series (CCIS,volume 1064)

Abstract

In this work, we have developed the first version of a smartness assessment framework that allows the representatives from a village to make a self-evaluation of its current status based on smartness criteria identified by an international group of experts. The framework allows a detailed evaluation of six different aspects including Mobility, Governance, Economy, Environment, Living, People, with weightings of the criteria using the multi-criteria analysis Electre Tri. In addition, the results enable further data analysis and offers an input for different functionality like identification of best practices and collaboration and matchmaking among potential stakeholders. In addition, we show the effectiveness of the proposed framework by means of a case study on a test area around the European Alpine space.

Keywords

  • Rural development
  • Smart villages
  • User-centered data analytics

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  • DOI: 10.1007/978-3-030-30278-8_48
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Notes

  1. 1.

    http://dbpedia.org.

  2. 2.

    http://www.wikidata.org.

  3. 3.

    http://wiki.cesba.eu/wiki/Greta_Best_practices.

  4. 4.

    https://www.ebr.org/.

References

  1. Bruni, E., Panza, A., Sarto, L., Khayatian, F.: Evaluation of cities’ smartness by means of indicators for small and medium cities and communities: a methodology for Northern Italy. Sustain. Cities Soc. 34, 193–202 (2017)

    Google Scholar 

  2. Coughlin, T.: IEEE consumer electronics society sponsors the smart village program [society news]. IEEE Consum. Electron. Mag. 4(3), 15–16 (2015)

    Google Scholar 

  3. Hamdy, M., König-Ries, B., Küster, U.: Non-functional parameters as first class citizens in service description and matchmaking - an integrated approach. In: Di Nitto, E., Ripeanu, M. (eds.) ICSOC 2007. LNCS, vol. 4907, pp. 93–104. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-540-93851-4_10

    CrossRef  Google Scholar 

  4. Huang, G., Fang, Y., Wang, X., Pei, Y., Horn, B.K.P.: A survey on the status of smart healthcare from the universal village perspective. In: UV, pp. 1–6 (2018)

    Google Scholar 

  5. Das, R.K., Misra, H.: Digital India, e-governance and common people: how connected are these in access layer of smart village? In: ICEGOV 2017, pp. 556–557 (2017)

    Google Scholar 

  6. Mersand, S., Gascó-Hernández, M., Gil-García, J.R., Burke, G.B., Figueroa, M., Sutherland, M.: The role of public libraries in smart, inclusive, and connected communities: current and best practices. In: DG.O 2018, pp. 107:1–107:2 (2018)

    Google Scholar 

  7. Phahlamohlaka, J., Dlamini, Z., Mnisi, T., Mashiane, T., Malinga, L.: Towards a smart community centre: SEIDET digital village. In: Kimppa, K., Whitehouse, D., Kuusela, T., Phahlamohlaka, J. (eds.) HCC 2014. IAICT, vol. 431, pp. 107–121. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-44208-1_10

    CrossRef  Google Scholar 

  8. Pham, C., Rahim, A., Cousin, P.: Low-cost, long-range open IoT for smarter rural African villages. In: ISC2 2016, pp. 1–6 (2016)

    Google Scholar 

  9. Prinsloo, G., Mammoli, A., Dobson, R.: Participatory smartgrid control and transactive energy management in community shared solar cogeneration systems for isolated rural villages. In: GHTC, pp. 352–359 (2016)

    Google Scholar 

  10. Postránecký, M., Svítek, M.: Assessment method to measure smartness of cities. In: SCSP 2017 (2017)

    Google Scholar 

  11. SmartVillages. Smart digital transformation of villages in the Alpine Space. https://www.alpine-space.eu/projects/smartvillages. Accessed 21 June 2019

  12. Visvizi, A., Lytras, M.D.: Rescaling and refocusing smart cities research: from mega cities to smart villages. J. Sci. Technol. Policy Manag. 9(2), 134–145 (2018)

    Google Scholar 

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Acknowledgements

This work has been developed within the SmartVillages project, Smart Digital Transformation of Villages in the Alpine Space, co-funded by Interreg Alpine Space (20182021). The authors would like to express the appreciation to SmartVillages project members for their contribution.

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Correspondence to Jorge Martinez-Gil .

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Martinez-Gil, J. et al. (2019). Framework for Assessing the Smartness Maturity Level of Villages. In: , et al. New Trends in Databases and Information Systems. ADBIS 2019. Communications in Computer and Information Science, vol 1064. Springer, Cham. https://doi.org/10.1007/978-3-030-30278-8_48

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  • DOI: https://doi.org/10.1007/978-3-030-30278-8_48

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  • Publisher Name: Springer, Cham

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