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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">mirtr</journal-id><journal-title-group><journal-title xml:lang="ru">Мир транспорта</journal-title><trans-title-group xml:lang="en"><trans-title>World of Transport and Transportation</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1992-3252</issn><publisher><publisher-name>Russian University of Transport (RUT)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.30932/1992-3252-2020-18-74-92</article-id><article-id custom-type="elpub" pub-id-type="custom">mirtr-1811</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>ЭКОНОМИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ECONOMICS</subject></subj-group></article-categories><title-group><article-title>Сравнение методик прогнозирования междугородних пассажиропотоков на различных видах транспорта</article-title><trans-title-group xml:lang="en"><trans-title>Comparison of Forecasting Methods for Intercity Passenger Flows for Various Modes of Transport</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>Макуцкий</surname><given-names>Н. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Makutsky</surname><given-names>N. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Макуцкий Никита Александрович – ведущий эксперт </p><p>Москва</p></bio><bio xml:lang="en"><p>Makutsky, Nikita A. – Leading Expert </p><p>Moscow</p></bio><email xlink:type="simple">namakutskiy@infraeconomy.com</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>Фадеев</surname><given-names>М. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Fadeev</surname><given-names>M. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Фадеев Максим Сергеевич – директор по экспертной работе </p><p>Москва</p></bio><bio xml:lang="en"><p>Fadeev, Maxim S. – Director </p><p>Moscow</p></bio><email xlink:type="simple">msfadeev@infraeconomy.com</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>Чистяков</surname><given-names>П. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Chistyakov</surname><given-names>P. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Чистяков Павел Александрович– вице-президент </p><p>Москва</p></bio><bio xml:lang="en"><p>Chistyakov, Pavel A. – Vice-president </p><p>Moscow</p></bio><email xlink:type="simple">pachistyakov@infraeconomy.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ООО «Центр Экономики Инфраструктуры»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>LLC Center for Economics of Infrastructure</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2020</year></pub-date><pub-date pub-type="epub"><day>28</day><month>02</month><year>2020</year></pub-date><volume>18</volume><issue>1</issue><fpage>74</fpage><lpage>92</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Макуцкий Н.А., Фадеев М.С., Чистяков П.А., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Макуцкий Н.А., Фадеев М.С., Чистяков П.А.</copyright-holder><copyright-holder xml:lang="en">Makutsky N.A., Fadeev M.S., Chistyakov P.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://mirtr.elpub.ru/jour/article/view/1811">https://mirtr.elpub.ru/jour/article/view/1811</self-uri><abstract><p>Статья посвящена методическим особенностям прогнозирования междугородних пассажиропотоков в условиях трансформации транспортной системы России, а именно, появления нового вида транспорта – скоростного железнодорожного сообщения. Цель статьи – изложить авторскую методику прогнозирования пассажиропотоков и доказать её более высокую эффективность относительно методик, применяемых в России сегодня. В статье рассмотрен исторический аспект прогнозирования пассажиропотоков, проанализированы сильные и слабые стороны существующих подходов к их моделированию. Авторы отмечают невозможность моделирования количества поездок при изменениях параметров транспортного сообщения только на основании закономерностей, выявленных по ретроспективным рядам данных (наиболее распространённый подход к прогнозированию пассажиропотоков в России). В статье предлагается альтернативная методика, основанная на расчёте совокупных затрат пассажира при совершении поездки, которые зависят от стоимости проезда, потерь времени, частоты отправления транспортных средств и их комфортности, а также учитывающая динамику ключевых социально-экономических показателей. Методика позволяет минимизировать погрешности измерений, возникающие из-за недостатка первичной информации о некоторых видах пассажирского транспорта, а также рассчитать индуцированный спрос на поездки, возникающий вследствие улучшения характеристик сообщения. Авторами определены ивыражены в количественных показателях основные факторы перераспределения пассажиропотока на нововведённые виды транспорта. В статье рассмотрен опыт прогнозирования пассажиропотока по предлагаемой методике на примере четырёх корреспонденций, где было начато движение скоростных поездов типа «Ласточка». Результаты прогнозирования сопоставлены с фактическими объёмами перевозок, на основании чего сделаны выводы об эффективности методики прогнозирования иеё применимости в современных реалиях российской транспортной системы. Выявлены преимущества и недостатки предложенного подхода к прогнозированию пассажиропотоков, а также определены возможности его распространения и дальнейшего развития в России.</p></abstract><trans-abstract xml:lang="en"><p>The article is devoted to methodological features of forecasting intercity passenger flows under the conditions of transformation of the transport system of Russia, namely, the emergence of a new type of rail transport which is high-speed rail. The objective of the article is to present the authors’ methodology for forecasting passenger flows and to prove its higher efficiency relative to the methods used in Russia today. The article considers the historical aspect of forecasting passenger flows, analyzes strengths and weaknesses of existing approaches to forecasting and modelling passenger flows. The authors argue that it is impossible to simulate the number of trips with changes in transportation parameters only on the basis of patterns identified by retrospective data series (the most common approach to forecasting passenger flows in Russia). The article proposes an alternative methodology based on the calculation of passenger’s total costs of a trip, which depend on cost of travel, loss of time, frequency of departure of vehicles and their comfort, as well as considering the dynamics of key social-economic indicators. The technique allows minimizing measurement errors arising from the lack of primary information about some types of passenger transport, as well as calculating the induced demand for trips arising as a result of improved transportation characteristics. The authors identified and expressed in quantitative terms the main factors of redistribution of passenger flows to newly introduced types of transport. The article discusses the experience of forecasting passenger flow according to the proposed method at the example of four itineraries where movement of high-speed trains of Lastochka type started. The forecasted results are compared with the actual volumes of transportation, on the basis of which conclusions are drawn about the effectiveness of the forecasting method and its applicability in modern realities of the Russian transport system. The advantages and disadvantages of the proposed approach to forecasting passenger traffic, as well as the possibilities of its implementation and further development in Russia are identified.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>транспорт</kwd><kwd>методы прогнозирования</kwd><kwd>пассажиропоток</kwd><kwd>транспортный спрос</kwd><kwd>транспортная подвижность населения</kwd><kwd>скоростной поезд</kwd></kwd-group><kwd-group xml:lang="en"><kwd>forecasting methods</kwd><kwd>passenger flow</kwd><kwd>transport demand</kwd><kwd>transport mobility of the population</kwd><kwd>high-speed train</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">Cervero, R. Induced Travel Demand: Research Design, Empirical Evidence, and Normative Policies. Journal of Planning Literature, 2002, Vol. 17 (3), pp. 3–20. 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