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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">sergeogr</journal-id><journal-title-group><journal-title xml:lang="ru">Известия Российской академии наук. Серия географическая</journal-title><trans-title-group xml:lang="en"><trans-title>Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2587-5566</issn><issn pub-type="epub">2658-6975</issn><publisher><publisher-name></publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.31857/S258755662202008X</article-id><article-id custom-type="elpub" pub-id-type="custom">sergeogr-1534</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>Территориальная организация общества</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Territorial Organization of Society</subject></subj-group></article-categories><title-group><article-title>Железнодорожное районирование России на основе дальнего пассажирского сообщения</article-title><trans-title-group xml:lang="en"><trans-title>Railway Zoning of Russia Based on Long-Distance Passenger Traffic</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>Самбуров</surname><given-names>К. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Samburov</surname><given-names>K. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><email xlink:type="simple">blok04@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Институт географии РАН</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Institute of Geography, Russian Academy of Sciences</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>27</day><month>05</month><year>2022</year></pub-date><volume>86</volume><issue>2</issue><fpage>179</fpage><lpage>190</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Самбуров К.В., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Самбуров К.В.</copyright-holder><copyright-holder xml:lang="en">Samburov K.V.</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://izvestia.igras.ru/jour/article/view/1534">https://izvestia.igras.ru/jour/article/view/1534</self-uri><abstract><p>Разработана сетка районов России по зонам тяготения территорий к определенным транспортным узлам, обеспеченных пассажирским железнодорожным сообщением дальнего следования. Выявлено, что существующие методы выделения территорий, тяготеющих к тому или иному узлу, не подходят при изучении железнодорожного транспорта. Для решения задачи транспортного районирования предложена авторская методика определения зон тяготения пассажирских железнодорожных узлов и пунктов; с ее помощью определены зоны тяготения 2065 узлов и пунктов, в которых останавливались поезда дальнего следования в 2016 г. Исследование проводилось на основе единых территориальных ячеек – единиц административно-территориального деления второго уровня (муниципальных районов и городских округов). На территории России выделены 488 железнодорожных пассажирских районов, объединяющих транспортные объекты по зоне тяготения центрального узла. Изучены основные параметры этих районов, а также структура потоков пассажиров в них. На основе анализа направлений пассажиропотоков внутри районов, выявлены четыре типа пассажирских железнодорожных районов: простые (к нему отнесены 168 районов), сложные моноцентрические (240 районов), сложные линейные (59 районов) и сложные полицентрические (21 район). Рассмотрены возможности использования полученной сетки районов при анализе пространственной структуры пассажирского железнодорожного комплекса дальнего следования. Определены основные недостатки методики, обусловленные как дефектами статистической информации, так и допущениями, принятыми в ходе исследования. </p></abstract><trans-abstract xml:lang="en"><p>A grid of regions of Russia has been developed according to the zones of gravitation of territories to certain transport hubs provided by long-distance passenger railway communication. It is revealed that the existing methods of allocation of territories gravitating to a particular node are not suitable for the study of railway transport. To solve the problem of transport zoning, the author’s methodology for determining the zones of gravity of passenger railway nodes and points is proposed; with its help, the zones of gravity of 2065 nodes and points where long-distance trains stopped in 2016 are determined. The study was conducted based on unified territorial cells—administrative divisions of the second level (municipal districts and urban okrugs). 488 railway passenger districts have been allocated on the territory of Russia, uniting transport facilities in the zone of gravity of the central hub. The main parameters of these regions have been studied, as well as the structure of passenger flows in them. Based on the analysis of the directions of passenger traffic within the districts, four types of passenger railway regions were identified: simple (168 regions are assigned to it), complex monocentric (240 regions), complex linear (59 regions), and complex polycentric (21 regions). The possibilities of using the obtained grid of districts in the analysis of the spatial structure of a long-distance passenger railway complex are considered. The main disadvantages of the methodology are determined, due to both defects in statistical information and assumptions made during the study. </p></trans-abstract><kwd-group xml:lang="ru"><kwd>районирование</kwd><kwd>пассажирское сообщение</kwd><kwd>зоны тяготения</kwd><kwd>железнодорожный узел</kwd><kwd>поезда дальнего следования</kwd></kwd-group><kwd-group xml:lang="en"><kwd>zoning</kwd><kwd>passenger traffic</kwd><kwd>attraction zone</kwd><kwd>railway node</kwd><kwd>long-distance trains</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">Белоусов И.И. Основы учения об экономическом районировании. М.: Изд-во Моск. гос. ун-та имени М.В. 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