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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">kaz29</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Казахстанско-Британского технического университета</journal-title><trans-title-group xml:lang="en"><trans-title>Herald of the Kazakh-British Technical University</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1998-6688</issn><issn pub-type="epub">2959-8109</issn><publisher><publisher-name>Казахстанско-Британский Технический Университет</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.55452/1998-6688-2025-22-4-196-208</article-id><article-id custom-type="elpub" pub-id-type="custom">kaz29-2317</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>КОМПЬЮТЕРНЫЕ НАУКИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>COMPUTER SCIENCE</subject></subj-group></article-categories><title-group><article-title>ОЦЕНКА УСТОЙЧИВОСТИ ГОРОДОВ: ИНДЕКС УМНОГО ГОРОДА И ВИЗУАЛИЗАЦИЯ ДАННЫХ</article-title><trans-title-group xml:lang="en"><trans-title>ASSESSING URBAN SUSTAINABILITY:  SMART CITY INDEX AND VISUAL DATA REPRESENTATION</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0007-2327-7036</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Салим</surname><given-names>Т.</given-names></name><name name-style="western" xml:lang="en"><surname>Salim</surname><given-names>T.</given-names></name></name-alternatives><bio xml:lang="ru"><p>магистрант</p><p>г. Алматы</p></bio><bio xml:lang="en"><p>Master’s student</p><p>Almaty</p></bio><email xlink:type="simple">t_salim@kbtu.kz</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Куатбаева</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Kuatbayeva</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>PhD, ассистент-профессор</p><p>г. Алматы</p></bio><bio xml:lang="en"><p>PhD, Assistant Professor</p><p>Almaty</p></bio><email xlink:type="simple">a.kuatbayeva@iitu.kz</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Казахстанско-Британский технический университет<country>Казахстан</country></aff><aff xml:lang="en">Kazakh-British Technical University<country>Kazakhstan</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>23</day><month>12</month><year>2025</year></pub-date><volume>22</volume><issue>4</issue><fpage>196</fpage><lpage>208</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Салим Т., Куатбаева А.А., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Салим Т., Куатбаева А.А.</copyright-holder><copyright-holder xml:lang="en">Salim T., Kuatbayeva A.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://vestnik.kbtu.edu.kz/jour/article/view/2317">https://vestnik.kbtu.edu.kz/jour/article/view/2317</self-uri><abstract><p>В данном исследовании доказывается, что необходимость оценки и повышения устойчивости городов становится жизненно важной. Это связано с постоянной урбанизацией и технологическим прогрессом, которые требуют устойчивого развития умных городов. На основании изложенного мы предлагаем и описываем модель для измерения и оценки устойчивости города с помощью индекса умного города (SCI). Проведенные расчеты по данной модели охватывают 102 города мира, обеспечивая быстрые и эффективные вычисления и визуализацию данных. Модель основана на шести показателях: мобильность, окружающая среда, государственное управление, экономика, умные люди и умная жизнь. Предложенный подход позволяет анализировать и интерпретировать данные по каждому показателю, что делает возможным расчет SCI для конкретного города, а также выявление его сильных сторон и направлений для улучшения. Полученные результаты представлены с помощью современных методов визуализации данных, что делает индекс умного города наглядным и позволяет сравнивать города между собой. Выводы исследования показали значительные различия между умными городами, что указывает на необходимость разработки целевых политик и инвестиций. Сделанный вклад, по нашему мнению, будет ценным дополнением к существующим знаниям и предоставит дальнейшие рекомендации для заинтересованных сторон, вовлеченных в развитие устойчивой городской среды.</p></abstract><trans-abstract xml:lang="en"><p>This study proves that the need to assess and enhance urban sustainability becomes vital. The implications are relevant to the constant urbanization and technological progress, which calls for sustainable smart city development. On the grounds presented above, we offer and describe the model to measure and evaluate urban sustainability through SCIs. Calculations performed on the model differ across the total of 102 cities worldwide, ensuring quick and effective calculation and visualization. The model on which calculations are based uses six indicators, which are mobility, environment, government, economy, smart people, and smart living. The rationale provides an opportunity to analyze and interpret data regarding the indicators, which makes the calculation of SCI (Smart City Index) by city for each indicator possible, as well as conclusions concerning major strengths and focus areas for improvement. The obtained results are presented through promising data visualization techniques to make SCIs intuitive and enable the comparison of cities. The findings demonstrated large variations among smart cities, which points to the necessity of developing targeted policies and investments. With these contributions, we are confident that the paper will make a valuable addition to the existing knowledge and provided further guidance and recommendations for the stakeholders involved in a sustainable urban environment.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>устойчивое развитие города</kwd><kwd>индекс умного города</kwd><kwd>визуализация данных</kwd><kwd>устойчивое городское развитие</kwd><kwd>умные технологии</kwd><kwd>аналитика города</kwd><kwd>системы поддержки принятия решений</kwd><kwd>планирование устойчивого города</kwd></kwd-group><kwd-group xml:lang="en"><kwd>urban sustainability</kwd><kwd>smart city index</kwd><kwd>visual data representation</kwd><kwd>sustainable urban development</kwd><kwd>smart technologies</kwd><kwd>urban analytics</kwd><kwd>decision support systems</kwd><kwd>sustainable urban planning</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Bibri, E., Smart Sustainable Cities of the Future: The Untapped Potential of Big Data Analytics and Context-Aware Computing for Advancing Sustainability. 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