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Tytuł artykułu

How cities measure quality of life - concept of the second stage of the research

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The aim of this article is to present the concept of the second stage of research concerning the study of quality of life at the city level and to indicate the cognitive possibilities offered by combining the two stages of research. Design/methodology/approach: Based on the results of the first stage of research, the assumptions and methodology for the second stage were developed. A concept of a survey carried out among a sample of 84 municipal offices of cities with over 50,000 residents located in Poland is presented. Particular attention was paid to the development of the research tool and the conditions necessary to obtain a high return in the survey. Findings: The developed concept provides an opportunity to trace the dynamics of phenomena related to the study of quality of life at the city level. It enables comparison of two groups of cities which conduct and do not conduct structured research on the quality of life. It provides information required to explain adverse phenomena related to data collection and processing and their causes. Research limitations/implications: Limitations resulting from the specificity of the research were highlighted and directions for further research were indicated. Practical implications: The possibility of practical use of the research results in the context of data acquisition for sustainable development of cities was highlighted. Social implications: Social implications of the research were indicated. Proper acquisition and utilisation of information obtained from residents should affect improvement of the quality of life. Originality/value: The article presents a completely new approach to research on the quality of life on the city level. In the first stage, the aim was to investigate whether municipal offices are able to extract data from surveys on quality of life of their residents in order to use them for sustainable development. The second stage involves investigating how the cities process these data and the extent to which they use this information in their office activities.
Rocznik
Tom
Strony
97--109
Opis fizyczny
Bibliogr. 24 poz.
Twórcy
  • Silesian University of Technology, Faculty of Organization and Management, Department of Economics and Informatics
Bibliografia
  • 1. Airaksinen, M., Seppä, I. P., Huovila, A., Neumann, H. M., Iglar, B., and Bosch, P. (2017). Smart city performance measurement framework CITY keys. International Conference on Engineering, Technology and Innovation (ICE/ITMC), 718-723.
  • 2. Albino, V., Berardi, U. and Dangelico, R.M. (2015). Smart cities: Definitions, dimensions, performance, and initiatives. Journal of urban technology, 22(1), 3-21.
  • 3. Allam, Z., and Newman, P. (2018), Redefining the Smart City: Culture, Metabolism and Governance. Smart Cities, 1(1), 4-25.
  • 4. Beck, A. (2018). Smart cities, in essence. Planning News, 44(4), 10-11.
  • 5. Borcuch, A., and Piłat-Borcuch, M. (2016). The importance of selected factors in smart city development: the student’s perspective. International Journal of Applied Research, 2(6), 604-611.
  • 6. Bosch, P., Jongeneel, S., Neumann, H.-M., Branislav, I., Huovila, A., Airaksinen, M. and Pinto-Seppä, I. (2017a). Recommendations for a Smart City index, CITYkeys - Smart city performance measurement framework, DOI: 10.13140/RG.2.2.20190.74562, 7.03.2022.
  • 7. Bosch, P., Jongeneel, S., Rovers, V., Neumann, H.-M., Airaksinen, M., and Huovila, A. (2017b). CITY keys indicators for smart city projects and smart cities, doi: 10.13140/RG.2.2.17148.23686, 7.03.2022.
  • 8. Camboim, G.F., Zawislak, P.A. and Pufal, N.A. (2019). Driving elements to make cities smarter: Evidences from European projects. Technological Forecasting and Social Change, 142, 154-167.
  • 9. Caragliu, A., Del Bo, Ch. and Nijkamp, P. (2011). Smart Cities in Europe. Journal of Urban Technology, 18(2), 65-82.
  • 10. Desdemoustier, J., Crutzen, N. and Giffinger, R. (2019), Municipalities’ understanding of the smart city concept: An exploratory analysis in Belgium. Technological Forecasting and Social Change, 142, 129-141.
  • 11. Giffinger, R., Fertner, C., Kramar, H., Kramar, H., Kalasek, R., Pichler-Milanovic, N. and 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, 7.03.2022.
  • 12. Huovila, A., Penttinen, T., Airaksinen, M., Pinto-Seppä, I. and Piira, K. (2016). Smart city performance measurement system. Proc. 41-th IAHS World Congress Sustainability Innovation for the Future, Algarve, Portugal, 13-16.
  • 13. Insch, A. (2010). Managing residents' satisfaction with city life: Application of importance- satisfaction analysis. J. Town City Manag., 1, 164-174.
  • 14. Jonek-Kowalska, I., Kaźmierczak, J., Kramarz, M., Hilarowicz, A. and Wolny, M. (2018). Introduction to the research project “Smart City: a holistic approach”. Proc. 5th SGEM International Multidisciplinary Scientific Conferences on Social Science and Arts SGEM, 101-112.
  • 15. Kubina, M., Sulyova, D., and Vodak, J. (2021). Comparison of Smart City Standards, Implementation and Cluster Models of Cities in North America and Europe. Sustainability, 13, 3120. https://doi.org/10.3390/su13063120.
  • 16. Ligarski, M.J. (2021). Using information from quality-of-life surveys for sustainable urban development - results of empirical studies. Proc. 37th International Business Information Management Association Conference (IBIMA), Cordoba, Spain, 7775-7783.
  • 17. Ligarski, M.J., and Wolny, M. (2021a). How cities aspiring to implement the smart city concept conduct research on the quality of life - development of the research concept and the first summary of results. Proc. 37th International Business Information Management Association Conference (IBIMA), Cordoba, Spain, 2780-2787.
  • 18. Ligarski, M.J., and Wolny, M. (2021b). Quality of life surveys as a method of obtaining data for sustainable city development - results of empirical research. Energies, 14(22), 1-20, doi: 10.3390/en14227592.
  • 19. Lombardi, P., Giordano, S., Caragliu, A., Del Bo, C., Deakin, M., Nijkamp, P. and 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, 7.03.2022.
  • 20. Macke, J., Casagrande, R.M., Sarate, J.A.R., and Silva, K.A. (2018). Smart city and quality of life: Citizen perception in a Brazilian case study. J. Clean. Prod., 182, 717-726.
  • 21. Moeinaddini, M., Asadi-Sheraki, Z., Aghaabbasi, M., Saadi, I., Zaly Shah, M., and Cools, M. (2020). Applying non-parametric models to explore urban life satisfaction in European cities. Cities, 105, 102851, doi:10.1016/j.cities.2020.102851.
  • 22. Noori, N., de Jong, M., Janssen, M., Schraven, D., and Hoppe, T. (2020). Input-Output Modeling for Smart City Development. Journal of Urban Technology, 27(3), 1-22.
  • 23. Papachristou, I.A., and Rosas-Casals, M. (2019). Cities and quality of life. Quantitative modeling of the emergence of the happiness field in urban studies. Cities, 88, 191-208.
  • 24. Rodríguez Bolívar, M.P. (2021), Analyzing the Influence of the Smart Dimensions on the Citizens’ Quality of Life in the European Smart Cities’ Context, Public Administration and Information Technology. In: E. Estevez, T.A. Pardo, H.J. Scholl (Eds.), Smart Cities and Smart Governance (pp. 239-256). Cham: Springer.
Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-51cf318d-729b-479d-96bf-c392d1a455e1
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