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    Wyświetlanie 1-3 z 3
    Tytuł:
    Linear ordering of cities in the smart city concept
    Autorzy:
    Sojda, Adam
    Powiązania:
    https://bibliotekanauki.pl/articles/1861060.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    smart city
    Eurostat
    Hellwig method
    TOPSIS method
    linear ordering
    miasto inteligentne
    metoda Hellwiga
    metoda TOPSIS
    porządkowanie liniowe
    Opis:
    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.
    Źródło:
    Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2020, 149; 621-630
    1641-3466
    Pojawia się w:
    Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Smart city ranking with subjective indicators
    Autorzy:
    Sojda, Adam
    Powiązania:
    https://bibliotekanauki.pl/articles/1861576.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    smart city
    Eurostat
    sustainable
    European cities
    indicators
    miasto inteligentne
    rozwój zrównoważony
    miasta europejskie
    wskaźniki
    Opis:
    Purpose: The primary purpose of the presented work is to show the impact of the residents’ opinion on the formation of the city's position in the SCR ranking. Another objective was to draw attention to the problem of data shortages in publicly available databases. Design/methodology/approach: The primary database of European countries is the Eurostat database. The research area covered cities with a population of between 200,000 and 800,000, which were not national capitals. Only one city from each country was selected. The proposed SCR covers six areas related to Smart City concept. Two types of meters for each of them are proposed – the first based on objective measures, the second on subjective measures, i.e. the opinions of residents. Each factor was standardised and transformed. The higher the value of the factor, the greater the positive effect on the index. Findings: Cities from the database were identified. General ranking and rankings for both objective and subjective meters were created. The relationship between rankings was investigated, and the impact of subjective variables was shown to be significant. Originality/value: The original method for determining the Smart City index was proposed. It is shown that subjective measures should be included in the rankings. The opinion of the residents should be taken into account when building a ranking regarding Smart City concept.
    Źródło:
    Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2020, 149; 631-641
    1641-3466
    Pojawia się w:
    Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The impact of standardisation method on smart city ranking
    Autorzy:
    Sojda, Adam
    Wolny, Maciej
    Powiązania:
    https://bibliotekanauki.pl/articles/1931558.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    standardization method
    Smart City
    Eurostat
    metody standaryzacji
    Opis:
    Purpose: The main purpose of the work is to present the impact of standardisation methods on the ranking results. The second purpose of the article was to present Warsaw’s position in comparison with the capitals of countries from the Eurozone. Design/methodology/approach: Major European cities were assessed using Eurostat data. The proprietary Smart City Index (SCI) indicator is proposed for the study, referring to six areas of Smart City assessment. Two measures are indicated in each of them. The first is an objective measure, while the second is a subjective measure, based on the opinion of the city’s residents about the situation in the city, or their own situation. Building rankings of the cities, following normalisation methods were used and compared: unitisation, unitisation with zero minimum, normalisation in range [-1, 1], classical standardisation, Weber standardisation and two quotient methods. Findings: The best results were obtained for the classical standardisation. For this method we obtained the smallest number of consistent positions in rankings and the minimal maximum of distance between the positions in rankings. The position of Warsaw as a city in 16th position (20 of all) was confirmed regardless of the standardization method used. Originality/value: There is proposed an original method to assess cities based on Eurostat data. This method allows construction of Smart City ranking. The main value of the work is that the classical standardisation is recommended to transform the original values of individual indicators.
    Źródło:
    Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2020, 142; 83-94
    1641-3466
    Pojawia się w:
    Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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