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The intuitionistic fuzzy synthetic measure in a dynamic analysis of the subjective quality of life of citizens of European cities

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Warianty tytułu
PL
Intuicjonistyczna rozmyta miara syntetyczna w dynamicznej analizie subiektywnej jakości życia mieszkańców miast europejskich
Języki publikacji
EN
Abstrakty
EN
The paper aims to measure and assess changes regarding the SQoL experienced by the residents of selected European cities over time. An Intuitionistic Fuzzy Synthetic Measure (IFSM) was applied to measure the SQoL. The measure allows taking into account the element of uncertainty expressed in the lack or refusal to answer. The analysis uses the results of studies on the SQoL conducted by the European Commission in the selected European cities. The method of constructing a pattern object proposed in the article allowed for assessing changes in the SQoL level of European city residents over time. The analysis showed that the subjective quality of life of the residents of European cities is systematically increasing during the period 2006-2019. However, we still observe large differences in the level of this phenomenon among the cities. The results of the research can be used to formulate assumptions or modify urban policies in EU cities to improve the quality of life of citizens.
PL
Celem artykułu jest pomiar i ocena zmian subiektywnej jakości życia (SQoL) mieszkańców wybranych miast europejskich. Do pomiaru SQoL zastosowano Intuicyjną Rozmytą Miarę Syntetyczną (IFSM). Miara pozwala uwzględnić element niepewności wyrażający się w braku lub odmowie udzielenia odpowiedzi. W analizie wykorzystano wyniki badań SQoL przeprowadzonych przez Komisję Europejską w wybranych miastach europejskich. Zaproponowany w artykule sposób konstrukcji obiektu wzorcowego pozwolił na ocenę zmiany poziomu SQoL mieszkańców miast europejskich w czasie. Analiza wykazała, że subiektywna jakość życia mieszkańców miast europejskich systematycznie wzrastała w latach 2006-2019. Nadal jednak obserwujemy duże różnice w poziomie tego zjawiska pomiędzy miastami. Wyniki badań można wykorzystać do formułowania założeń lub modyfikacji polityk miejskich w miastach UE w celu poprawy jakości życia obywateli.
Rocznik
Tom
Strony
art. no. 708
Opis fizyczny
Bibliogr. 39 poz., tab.
Twórcy
  • Wroclaw University of Economics and Business, Komandorska Street 118/120, 53-345 Wroclaw, Poland
  • Bialystok University of Technology
  • Wroclaw University of Economics and Business, Komandorska Street 118/120, 53-345 Wroclaw, Poland
Bibliografia
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  • Castelli, C., d’Hombres, B., de Dominicis, L., Dijkstra, L., Montalto, V., & Pontarollo, N. (2022). What makes people in Europe satisfied with the city where they live? Evidence from the 2019 European Commission perception survey on the quality of life in European cities. https://ec.europa.eu/regional_policy/sources/work/2022_05_satis_cities.pdf
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  • de Guimarães, J. C. F., Severo, E. A., Júnior, L. A. F., da Costa, W. P. L. B., & Salmoria, F. T. (2020). Governance and quality of life in smart cities: Towards sustainable development goals. Journal of Cleaner Production, 253, 119926. https://doi.org/10.1016/j.jclepro.2019.119926
  • de la Cruz, P. M., Cabral, P., & Mateu, J. (2011). Mapping the Quality of Life Experience in Alfama: A Case Study in Lisbon, Portugal. In B. Murgante, O. Gervasi, A. Iglesias, D. Taniar & B.O. Apduhan (Eds.), Computational Science and Its Applications—ICCSA 2011 (pp. 269-283). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-21928-3_19
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  • Feneri, A.-M., Vagiona, D., & Karanikolas, N. (2015). Multi-criteria decision making to measure quality of life: An integrated approach for implementation in the urban area of Thessaloniki, Greece. Applied Research in Quality of Life, 10(4), 573-587. https://doi.org/10.1007/s11482-014-9335-1
  • Garcia-Bernabeu, A., Cabello, J. M., & Ruiz, F. (2021). A Reference Point-Based Proposal to Build Regional Quality of Life Composite Indicators. Social Indicators Research, 164(1), 11-30. https://doi.org/10.1007/s11205-021-02818-0
  • Ge, J., & Hokao, K. (2006). Research on residential lifestyles in Japanese cities from the viewpoints of residential preference, residential choice and residential satisfaction. Landscape and Urban Planning, 78(3), 165-178. https://doi.org/10.1016/j.landurbplan.2005.07.004
  • Głowicka-Wołoszyn, R., Wołoszyn, A., & Wysocki, F. (2018). Quality Of Life In Polish Farmers’ Households Assessment With Topsis Method. Proceedings of the International Scientific Conference ‘Economic Sciences for Agribusiness and Rural Economy’, Warsaw, Poland, (2), 257-263. https://js.wne.sggw.pl/index.php/esare/article/view/1523. https://doi.org/10.22630/ESARE.2018.2.34
  • Haslauer, E., Delmelle, E. C., Keul, A., Blaschke, T., & Prinz, T. (2015). Comparing subjective and objective quality of life criteria: A case study of green space and public transport in Vienna, Austria. Social Indicators Research, 124(3), 911-927. https://doi.org/10.1007/s11205-014-0810-8
  • Jefmański, B. (2020). Intuitionistic Fuzzy Synthetic Measure for Ordinal Data. In: K. Jajuga, J. Batóg, M. Walesiak (Eds.) Classification and Data Analysis. SKAD 2019. Studies in Classification, Data Analysis, and Knowledge Organization. Cham: Springer. https://doi.org/10.1007/978-3-030-52348-0_4
  • Jefmański, B., Roszkowska, E., & Kusterka-Jefmańska, M. (2021). Intuitionistic Fuzzy Synthetic Measure on the Basis of Survey Responses and Aggregated Ordinal Data. Entropy, 23(12), 1636. https://doi.org/10.3390/e23121636
  • Jenks, G. F. (1967). The Data Model Concept in Statistical Mapping. International Yearbook of Cartography, 7, 186-190.
  • Lee, Y.-J. (2008). Subjective quality of life measurement in Taipei. Building and Environment, 43(7), 1205-1215. https://doi.org/10.1016/j.buildenv.2006.11.023
  • Macke, J., Casagrande, R. M., Sarate, J. A. R., & Silva, K. A. (2018). Smart city and quality of life: Citizens’ perception in a Brazilian case study. Journal of Cleaner Production, 182, 717-726. https://doi.org/10.1016/j.jclepro.2018.02.078
  • Marans, R. W. (2015). Quality of urban life & environmental sustainability studies: Future linkage opportunities. Habitat International, 45(1), 47-52. https://doi.org/10.1016/j.habitatint.2014.06.019
  • Nanor, M. A., Poku-Boansi, M., & Adarkwa, K. K. (2018). An objective analysis of the relationship between quality of life and socio-economic characteristics in Kumasi, Ghana. GeoJournal, 83(4), 835-851. https://doi.org/10.1007/s10708-017-9795-6
  • Roszkowska, E., & Filipowicz-Chomko, M. (2021). Measuring Sustainable Development Using an Extended Hellwig Method: A Case Study of Education. Social Indicators Research, 153, 299-322. https://doi.org/10.1007/s11205-020-02491-9
  • Roszkowska, E., Jefmański, B., & Kusterka-Jefmańska, M. (2022). On Some Extension of Intuitionistic Fuzzy Synthetic Measures for Two Reference Points and Entropy Weights. Entropy, 24(8), 1081. https://doi.org/10.3390/e24081081
  • Roszkowska, E., Kusterka-Jefmańska, M., & Jefmański, B. (2021). Intuitionistic Fuzzy TOPSIS as a Method for Assessing Socioeconomic Phenomena on the Basis of Survey Data. Entropy, 23(5), 563. https://doi.org/10.3390/e23050563
  • Royuela, V., Suriñach, J., & Reyes, M. (2003). Measuring quality of life in small areas over different periods of time. Social Indicators Research, 64(1), 51-74. https://doi.org/10.1023/A:1024789306734
  • Santos, L. D., Martins, I., & Brito, P. (2007). Measuring Subjective Quality of Life: A Survey to Porto’s Residents. Applied Research in Quality of Life, 2(1), 51-64. https://doi.org/10.1007/s11482-007-9029-z
  • Sőrés, A., & Pető, K. (2015). Measuring of subjective quality of life. Procedia Economics and Finance, 32, 809-816. https://doi.org/10.1016/S2212-5671(15)01466-5
  • Strahl, D. (Ed.). (2006). Metody oceny rozwoju regionalnego. Wrocław. Wydawnictwo Akademii Ekonomicznej im. Oskara Langego we Wrocławiu. (in Polish).
  • Szmidt, E. (2014). Distances and Similarities in Intuitionistic Fuzzy Sets. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-01640-5
  • von Wirth, T., Grêt-Regamey, A., & Stauffacher, M. (2015). Mediating Effects Between Objective and Subjective Indicators of Urban Quality of Life: Testing Specific Models for Safety and Access. Social Indicators Research, 122, 189–210. https://doi.org/10.1007/s11205-014-0682-y
  • Węziak-Białwolska, D. (2016). Quality of life in cities–Empirical evidence in comparative European perspective. Cities, 58, 87-96. https://doi.org/10.1016/j.cities.2016.05.016
  • Wysocki, F. (2010). Metody taksonomiczne w rozpoznawaniu typów ekonomicznych rolnictwa i obszarów wiejskich. Poznań: Wydawnictwo Uniwersytetu Przyrodniczego w Poznaniu. (in Polish).
  • Zadeh, L. A. (1965). Information and control. Fuzzy Sets, 8(3), 338-353. https://doi.org/10.1016/S0019-9958(65)90241-X
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-74924741-7afc-4ba4-a131-ba5b123cb46b
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