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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">umovest</journal-id><journal-title-group><journal-title xml:lang="ru">Статистика и Экономика</journal-title><trans-title-group xml:lang="en"><trans-title>Statistics and Economics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2500-3925</issn><publisher><publisher-name>Plekhanov Russian University of Economics</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21686/2500-3925-2019-1-22-31</article-id><article-id custom-type="elpub" pub-id-type="custom">umovest-1342</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>ЭКОНОМИЧЕСКАЯ СТАТИСТИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ECONOMIC STATISTICS</subject></subj-group></article-categories><title-group><article-title>Оценка уровня развития транспортного комплекса мегаполисов</article-title><trans-title-group xml:lang="en"><trans-title>Assessment of the level of metropolitan cities transport system development</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Карасев</surname><given-names>О. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Karasev</surname><given-names>Oleg I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Олег Игоревич Карасев К.э.н., Директор центра научно-технологического прогнозирования экономического факультета </p></bio><bio xml:lang="en"><p>Cand. Sci. (Economics), Director of the Scientific and Technological Forecasting Centre of the Faculty of Economics</p></bio><email xlink:type="simple">oikarasev@econ.msu.ru</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>Кривцова</surname><given-names>А. О.</given-names></name><name name-style="western" xml:lang="en"><surname>Krivtsova</surname><given-names>Anna O.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Анна Олеговна Кривцова Аспирант факультета экономики</p></bio><bio xml:lang="en"><p>Postgraduate Student of the Faculty of Economics</p></bio><email xlink:type="simple">annakriwz@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Московский государственный университет им. М.В. Ломоносова</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Lomonosov Moscow State University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>19</day><month>03</month><year>2019</year></pub-date><volume>16</volume><issue>1</issue><fpage>22</fpage><lpage>31</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Карасев О.И., Кривцова А.О., 2019</copyright-statement><copyright-year>2019</copyright-year><copyright-holder xml:lang="ru">Карасев О.И., Кривцова А.О.</copyright-holder><copyright-holder xml:lang="en">Karasev O.I., Krivtsova A.O.</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://statecon.rea.ru/jour/article/view/1342">https://statecon.rea.ru/jour/article/view/1342</self-uri><abstract><sec><title>Цель исследования</title><p>Цель исследования. Статья посвящена вопросам оценки уровня развития транспортного комплекса крупных городов. Несмотря на широкое разнообразие исследований по этой проблеме, в настоящее время отсутствует универсальный подход к оценке уровня развития транспортного комплекса на уровне мегаполисов. В представленном исследовании поставлена цель – разработать инструмент, позволяющий комплексно оценить различные аспекты развития городского транспорта, значимые для всех категорий его пользователей, а также провести сравнительный анализ ведущих мегаполисов мира по уровню транспортного развития на основе предложенной методики.</p></sec><sec><title>Материалы и методы</title><p>Материалы и методы. В рамках исследования применяется подход, связанный с построением интегральных индексов, а также рейтингованием городов на основе полученных значений. Материалы и расчеты базируются на использовании данных, полученных из авторитетных открытых источников, а также информационных систем государственного и муниципального управления.</p></sec><sec><title>Результаты</title><p>Результаты. С учетом результатов анализа мировой практики авторами предложен Индекс развития транспортного комплекса, предназначенный для оценки уровня транспортного развития мегаполисов, выявления слабых и сильных сторон их транспортного комплекса, определения оптимальных путей его дальнейшего совершенствования и разработки на этой основе рекомендаций в области транспортной политики. Индекс состоит из четырех субиндексов, отражающих основные направления развития транспортного сектора: качество транспортного обслуживания населения, доступность транспортных услуг для населения, безопасность дорожного движения и воздействие транспорта на окружающую среду, а также эффективность грузовой логистики. Индекс охватывает все наиболее значимые направления транспортного развития города и характеризует развитие транспортного комплекса с позиции разных категорий пользователей его услуг. Индекс рассчитан для группы сопоставимых мегаполисов в следующем составе: Гонконг, Лондон, Мехико, Москва, Нью-Йорк, Санкт-Петербург, Сингапур, Стамбул, Токио и Шанхай. В результате исследования сформирован рейтинг транспортного развития городов за 2010, 2015, 2016 и 2017 годы. Результаты исследования показали, что в рассматриваемый период наиболее развитыми транспортными системами обладали Токио и Лондон. Наилучшую динамику изменения Индекса за последние семь лет продемонстрировали Москва, Санкт-Петербург и Шанхай.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Purpose of the study</title><p>Purpose of the study. The study focuses on issues of the level assessment of transport system development of large cities. Despite the wide variety of studies on this issue, there is currently no universal approach to assessing the level of development of the transport system at megalopolises. The present study aims to create a tool for a comprehensive assessment of various aspects of urban transport development that are important for all categories of transport users, and to provide a comparative analysis of the world’s leading megacities in terms of transport development based on the proposed methodology.</p></sec><sec><title>Materials and methods</title><p>Materials and methods. In the study, the authors apply an approach related to the construction of integral indexes and ratings of cities based on the values of these indexes. In the calculations of the index, the authors use statistical data from authoritative open sources and information systems of national and municipal government. </p></sec><sec><title>Results</title><p>Results. Based on the results of the world practice analysis, the authors propose the Urban Transport Development Index developed in order to compare the level of transport system development in various cities. The Index provides an opportunity to identify the weaknesses and strengths of cities, to find reserves for the further improvement and development of recommendations in the field of transport policy on this basis. The Index consists of four sub-indexes: the availability of transport services for the urban population, the quality of transport services, road traffic security and the ecological impact of transport, and freight logistics performance. The Index reflects the main aspects of urban transport development and shows the views of different categories of population on the level of transport services. The paper examines the level of transport system development for 2010, 2015, 2016 and 2017 of a group of comparable cities, which includes Hong Kong, London, Mexico, Moscow, New York, St. Petersburg, Singapore, Istanbul, Tokyo and Shanghai. The results showed that Tokyo and London have occupied the leading positions during the period under review. For the seven years Moscow, St. Petersburg and Shanghai have showed the best dynamics of the Index.</p></sec><sec><title>Conclusion</title><p>Conclusion. The proposed method allows both to evaluate the effectiveness of individual regulatory measures known in the practice of other cities, and to simulate their impact on the transport system of the city. The paper concludes with recommendations for further development of cities’ transport systems.</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>интегральные индексы</kwd><kwd>рейтинги городов</kwd><kwd>развитие транспортного комплекса</kwd><kwd>развитие мегаполисов</kwd><kwd>городской транспорт</kwd><kwd>личный транспорт</kwd></kwd-group><kwd-group xml:lang="en"><kwd>integral indexes</kwd><kwd>city ratings</kwd><kwd>transport system development</kwd><kwd>urban development</kwd><kwd>public transport</kwd><kwd>private transport</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">Официальный сайт Объединенного научно-исследовательского центра Европейской Комиссии. Transport sector economic analysis. 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