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Linear ordering of cities in the smart city concept

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: Linear ordering is an important issue for evaluating multi-attribute objects. The issue of assessing cities in the context of their rating in the light of the smart city concept is a linear programming issue. The primary purpose of the article is to report the results of linear ordering obtained based on different methods and to present comparative analyses. Design/methodology/approach: The data presented in the article are based on EUROSTAT. It refers to indicators characterising selected European capitals. Findings: Based on the indicators selected from the database, the ranking of cities is determined based on the presented methods. The results obtained were used for benchmarking. Originality/value: The most significant value of the work is the benchmarking that was carried out. The analysis proved that the TOPSIS method showed that the result obtained was similar to that obtained by SCI.
Rocznik
Tom
Strony
621--630
Opis fizyczny
Bibliogr. 22 poz.
Twórcy
autor
  • Silesian University of Technology, Zabrze
Bibliografia
  • 1. Ahvenniemi, H., Huovila, A., Pinto-Seppä, I., Airaksinen, M. (2017). What are the differences between sustainable and smart cities? Cities, 60, pp. 234-245.
  • 2. Albino, V., Berardi, U., Dangelico, R.M. (2015). Smart cities: Definitions, dimensions, performance, and initiatives. Journal of Urban Technology, 22(1), pp. 3-21.
  • 3. Berrone, P., Ricart, J.E., Duch, A., Carrasco, C. (2019). IESE Cities in Motion Index 2019, IESE, ST-509-E, 05/2019 DOI: https://dx.doi.org/10.15581/018.ST-509.
  • 4. Bosch, P., Jongeneel, S., Neumann, H.-M., Branislav, I., Huovila, A., Airaksinen, M., Pinto-Seppä, I. (2017a). Recommendations for a Smart City index. CITYkeys – Smart city performance measurement framework. DOI: 10.13140/RG.2.2.20190.74562, 16.04.2020.
  • 5. Bosch, P., Jongeneel, S., Rovers, V., Neumann, H.-M., Airaksinen, M., Huovila, A. (2017b). CITYkeys indicators for smart city projects and smart cities. CITYkeys – Smart city performance measurement framework. DOI: 10.13140/RG.2.2.17148.23686, 16.04.2020.
  • 6. Giffinger, R., Fertner, C., Kramar, H., Kramar, H., Kalasek, R., Pichler-Milanovic, N., Meijers, E. (2007). Smart Cities. Ranking of European medium-sized cities. Centre for Regional Science, Vienna University of Technology, http://www.smart-cities.eu/download/smart_cities_final_report.pdf, 16.04.2020.
  • 7. Hellwig, Z. (1981). Wielowymiarowa analiza porównawcza i jej zastosowanie w badaniach wielocechowych obiektów gospodarczych. In: Metody i modele ekonomiczno-matematyczne w doskonaleniu zarządzania gospodarką socjalistyczną. Warszawa: PWE.
  • 8. Hellwig, Z. (1968). Zastosowanie metody taksonomicznej do typologicznego podziału krajów ze względu na poziom ich rozwoju oraz zasobu i strukturę wykwalifikowanych kadr. Przegląd Statystyczny, z. 4, 307-327.
  • 9. Huovila, A., Penttinen, T., Airaksinen, M., Pinto-Seppä, I., Piira, K., Penttinen, T. (2016, September). Smart city performance measurement system. Proceedings of the 41st IAHS World Congress Sustainability Innovation for the Future, Algarve, Portugal, pp. 13-16.
  • 10. Hwang, C.L., Yoon, K. (1981). Mutliple Attribute Decision Making: Methods and Application. New York: Springer-Verlag.
  • 11. Kukuła, K. (1989). Statistical structural analysis and its application in the field of production services for agriculture. Scientific Notebooks AE in Krakow, Special series: Monographs, 89, p. 256.
  • 12. Kukuła, K. (2000). Method of zeroed unitarisation. Warsaw: PWN.
  • 13. Lombardi, P., Giordano, S., Caragliu, A., Del Bo, C., Deakin, M., Nijkamp, P., Kourtit, K. (2011). An advanced triple-helix network model for smart cities performance. Vrije Universiteit Amsterdam, Research Memorandum 2011-45, http://degree.ubvu.vu.nl/repec/vua/wpaper/pdf/20110045.pdf, 15.03.2019.
  • 14. Smart City PROFILES (2013). Ergebnisse. 7.6.2013. http://www.smartcities.at/assets/03-Begleitmassnahmen/SmartCity-PDF-INTRO.pdf, 16.03.2020.
  • 15. Sojda, A., Owczarek, T., Wolny, M. (2018). Smart city in data-oriented terms – Poland in eurostat – database. Zeszyty Naukowe PŚl., Org. Zarz., z. 130, p. 557-566, DOI: 10.29119/1641-3466.2018.130.46.
  • 16. Sojda, A., Wolny, M. (2020). The impact of standardisation method on smart city ranking, Sil. Univ. Technol. Sci. Pap., Organ. Manage., no. 142, pp. 83-94, DOI: 10.29119/1641-3466.2020.142.6.
  • 17. Stankovic, J., Dzunic, M., Džunić, Ž., Marinkovic, S. (2015). A multi-criteria evaluation of the European cities' smart performance: Economic, social and environmental aspects. Zbornik radova Ekonomskog fakulteta u Rijeci, časopis za ekonomsku teoriju i praksu-Proceedings of Rijeka Faculty of Economics, Journal of Economics and Business, 35(2), pp. 519-550.
  • 18. Svítek, M., Skobelev, P., Kozhevnikov (2020). Smart City 5.0 as an Urban Ecosystem of Smart Services. 10.1007/978-3-030-27477-1_33.
  • 19. Szczech-Pietkiewicz, E. (2015). Smart city – sample definition and measurement. Scientific work of the University of Economics in Wroclaw. Local economy in theory and practice, 391.
  • 20. Tahir, Z., Malek, J.A. (2016). Main criteria in the development of smart cities determined using analytical method. Planning Malaysia Journal, 14(5).
  • 21. UCLG (2012). Smart Cities Study: International study on the situation of ICT, innovation and knowledge in cities. Bilbao. http://www.uclg-digitalcities.org/app/uploads/2015/06/en_smartcitiesstudy.pdf, 16.04.2020.
  • 22. United Nations (2014). World urbanisation prospects: The 2014 Revision, Highlights (ST/ESA/SER.A/352). New York. United States of America, https://doi.org/10.4054/DemRes.2005.12.9.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7fe20a9e-f645-4b53-9883-bdfad4df9f67
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