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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">mir</journal-id><journal-title-group><journal-title xml:lang="ru">МИР (Модернизация. Инновации. Развитие)</journal-title><trans-title-group xml:lang="en"><trans-title>MIR (Modernization. Innovation. Research)</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2079-4665</issn><issn pub-type="epub">2411-796X</issn><publisher><publisher-name>School of Public Administration</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18184/2079-4665.2021.12.4.400-415</article-id><article-id custom-type="elpub" pub-id-type="custom">mir-1192</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>ИННОВАЦИИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>INNOVATION</subject></subj-group></article-categories><title-group><article-title>Методика оценки транспортной доступности капитальных объектов мегаполиса на основе геоинформационных данных</article-title><trans-title-group xml:lang="en"><trans-title>Methodology for Assessing the Transport Accessibility of Capital Objects in a Megacity Based on Geoinformation Data</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8471-2395</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Мхитарян</surname><given-names>С. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Mkhitaryan</surname><given-names>S. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p> Мхитарян Сергей Владимирович, профессор кафедры маркетинга, заведующий Научно-исследовательской лабораторией маркетинговых исследований транспортного комплекса, доктор экономических наук, профессор </p><p>117997, Москва, Стремянный пер., д. 36</p></bio><bio xml:lang="en"><p> Sergey V. Mkhitaryan, Professor of the Marketing Department, Head of the Research Laboratory for Marketing Research of the Transport Complex, Doctor of Economics Sciences</p><p>36, Stremyanny lane, Moscow, 117997)</p></bio><email xlink:type="simple">Mkhitaryan.SV@rea.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9617-5838</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Мусатова</surname><given-names>Ж. Б.</given-names></name><name name-style="western" xml:lang="en"><surname>Musatova</surname><given-names>Zh. B.</given-names></name></name-alternatives><bio xml:lang="ru"><p> Мусатова Жанна Борисовна, доцент кафедры маркетинга, кандидат экономических наук</p><p>117997, Москва, Стремянный пер., д. 36</p></bio><bio xml:lang="en"><p> Zhanna B. Musatova, Associate Professor of the Marketing Department, Candidate of Economic Sciences </p><p>36, Stremyanny lane, Moscow, 117997</p></bio><email xlink:type="simple">Musatova.zHB@rea.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7762-010X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Муртузалиева</surname><given-names>Т. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Murtuzalieva</surname><given-names>T. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p> Муртузалиева Таира Велимагомедовна, доцент кафедры маркетинга, кандидат экономических наук, старший научный сотрудник</p><p>117997, Москва, Стремянный пер., д. 36</p></bio><bio xml:lang="en"><p> Taira V. Murtuzalieva, Associate Professor of the Marketing Department, Candidate of Economic Sciences,  Senior Researcher </p><p>36, Stremyanny lane, Moscow, 117997</p></bio><email xlink:type="simple">Murtuzalieva.TV@rea.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7322-8063</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Тимохина</surname><given-names>Г. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Timokhina</surname><given-names>G. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p> Тимохина Галина Сергеевна, доцент кафедры маркетинга, кандидат экономических наук, старший научный сотрудник </p><p>117997, Москва, Стремянный пер., д. 36</p></bio><bio xml:lang="en"><p> Galina S. Timokhina, Associate Professor of the Marketing Department, Candidate of Economic Sciences, Senior Researcher </p><p>36, Stremyanny lane, Moscow, 117997</p></bio><email xlink:type="simple">Timohina.GS@rea.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5919-2313</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Широченская</surname><given-names>И. П.</given-names></name><name name-style="western" xml:lang="en"><surname>Shirochenskaya</surname><given-names>I. P.</given-names></name></name-alternatives><bio xml:lang="ru"><p> Широченская Ирина Петровна, доцент кафедры маркетинга, кандидат экономических наук, старший научный сотрудник </p><p>117997, Москва, Стремянный пер., д. 36</p></bio><bio xml:lang="en"><p> Irina P. Shirochenskaya, Associate Professor of the Marketing Department, Candidate of Economic Sciences, Senior Researcher </p><p>36, Stremyanny lane, Moscow, 117997</p></bio><email xlink:type="simple">Shirotchenskaya.IP@rea.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Российский Экономический Университет им. Г. В. Плеханова</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Plekhanov Russian University of Economics</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>14</day><month>01</month><year>2022</year></pub-date><volume>12</volume><issue>4</issue><fpage>400</fpage><lpage>415</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Мхитарян С.В., Мусатова Ж.Б., Муртузалиева Т.В., Тимохина Г.С., Широченская И.П., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Мхитарян С.В., Мусатова Ж.Б., Муртузалиева Т.В., Тимохина Г.С., Широченская И.П.</copyright-holder><copyright-holder xml:lang="en">Mkhitaryan S.V., Musatova Z.B., Murtuzalieva T.V., Timokhina G.S., Shirochenskaya I.P.</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://www.mir-nayka.com/jour/article/view/1192">https://www.mir-nayka.com/jour/article/view/1192</self-uri><abstract><sec><title>Цель</title><p>Цель: представить авторскую методику по расчету интегральных показателей транспортной доступности на основе взвешенных нормированных частных показателей и результаты ее апробации для трех жилых комплексов г. Москвы.</p><p>Метод или методология проведения работы. Исследование основано на применении методов сбора фактического материала, его обработки, системного, сравнительно-исторического и структурно-функционального анализа, которые были дополнены многомерным анализом вторичной информации с использованием контент-анализа существующих методик расчета показателей транспортной доступности капитальных объектов. Результаты и выводы работы базируются на использовании авторской методики расчета интегральных показателей транспортной доступности на основе взвешенных нормированных частных показателей для трех жилых комплексов г. Москвы. Анализ возможной совокупности критериев/показателей оценки транспортной доступности жилищных комплексов мегаполиса г. Москва был проведен на основе использования геоинформационной базы данных ГИС NextGIS QGIS.</p></sec><sec><title>Результаты работы</title><p>Результаты работы. Проведен обзор методических подходов к расчету объективных количественных показателей, характеризующих транспортную доступность капитальных объектов, представлена и апробирована авторская методика расчета интегральных показателей транспортной доступности жилых комплексов г. Москвы на основе взвешенных нормированных частных критериев/показателей. Применение авторской методики расчета интегральных показателей транспортной доступности на основе взвешенных нормированных частных критериев/показателей позволило рассчитать значения показателей транспортной доступности для трех жилых комплексов г. Москвы, рассчитать интегрированную балльную оценку совокупности критериев транспортной доступности для каждого ЖК, дать сравнительную количественную оценку их транспортной доступности, провести рейтингование ЖК по показателям транспортной доступности.</p></sec><sec><title>Выводы</title><p>Выводы. Представленные результаты апробации авторской методики расчета интегральных показателей транспортной доступности для жилых комплексов г. Москвы позволяют проводить сравнительный и динамический анализ транспортной доступности ЖК (или более крупных агрегатов). Результаты такого анализа могут быть применены в целях разработки программ развития транспортной инфраструктуры мегаполиса в целом, отдельных округов и районов, а также для оценки эффективности таких программ. В целях дальнейшего развития системы оценки транспортной доступности авторы видят направления будущих исследований в определении и расчете показателей, основанных на восприятии жителями города транспортной доступности объектов.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Purpose</title><p>Purpose: to present the author's methodology and the test results for calculating integral indicators of transport accessibility on the basis of weighted normalized private indicators for three housing estates in Moscow.</p></sec><sec><title>Methods</title><p>Methods: the study is based on the application of methods for collecting factual material, its processing, systematic, comparative historical and structural-functional analysis, which were supplemented by multivariate analysis of secondary information using content analysis of existing methods for calculating indicators of transport accessibility of capital objects. The results and conclusions of the research are based on the use of the author's methodology for calculating integral indicators of transport accessibility based on weighted normalized private indicators for three housing estates in Moscow. The analysis of a possible set of criteria for assessing transport accessibility of housing estates in Moscow metropolis was carried out on the basis of the use of a geographic information system database GIS NextGIS QGIS.</p></sec><sec><title>Results</title><p>Results: a review of methodological approaches to the calculation of objective quantitative indicators characterizing the transport accessibility of capital objects is carried out; the author's methodology for calculating the integral indicators of the transport accessibility of residential complexes in Moscow is presented and tested on the basis of weighted normalized private criteria / indicators. The use of the authors’ methodology for calculating integral indicators of transport accessibility based on weighted normalized private criteria / indicators made it possible to calculate the values of indicators of transport accessibility for three housing estates in Moscow, calculate an integrated score for a set of transport accessibility criteria for each housing estate, to give a comparative quantitative assessment of their transport accessibility, to conduct a rating of housing estates in terms of their transport accessibility.</p><p>Conclusions and Relevance: the presented results of approbation of the author's methodology for calculating the integral indicators of transport accessibility for housing estates in Moscow allow to conduct a comparative and dynamic analysis of housing estates (or larger units) transport accessibility. The results of such an analysis can be applied in order to develop programs for transport infrastructure development of the megacity as a whole, its certain districts and city parts, as well as to assess such programs efciency. The authors see the directions for future research in the defnition and calculation of indicators based on the city dwellers perception of the transport accessibility</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>методика</kwd><kwd>объективная оценка</kwd><kwd>транспортная доступность</kwd><kwd>интегральный показатель</kwd><kwd>взвешенные нормированные частные показатели</kwd></kwd-group><kwd-group xml:lang="en"><kwd>methodology</kwd><kwd>objective assessment</kwd><kwd>transport accessibility</kwd><kwd>integral indicator</kwd><kwd>weighted normalized private indicators</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Статья выполнена в рамках Государственного задания на тему «Разработка методологии управления конкурентоспособностью в сфере товарооборота в цифровой экономике», Проект № FSSW-2020-0009</funding-statement><funding-statement xml:lang="en">This article was prepared as part of a scientifc research on the state task on “Development of methodology for managing competitiveness in the feld of commodity circulation in the digital economy. 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