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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">10.21686/2500-3925-2019-5-57-69</article-id><article-id custom-type="elpub" pub-id-type="custom">umovest-1421</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 изменений рыночной стоимости жилой недвижимости в зоне введенной в эксплуатацию транспортной развязки внутригородской платной автомобильной дороги</article-title><trans-title-group xml:lang="en"><trans-title>Assessment of changes in the market value of residential real estate in the area of the commissioned transport interchange of the urban toll road</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>Ласкин</surname><given-names>М. Б.</given-names></name><name name-style="western" xml:lang="en"><surname>Laskin</surname><given-names>M. B.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Михаил Борисович Ласкин – старший научный сотрудник  </p><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>Mikhail B. Laskin – Senior Researcher  </p><p>St. Petersburg</p></bio><email xlink:type="simple">laskinmb@yahoo.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>Талавиря</surname><given-names>А. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Talavirya</surname><given-names>A. U.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Александр Юрьевич Талавиря – аспирант департамента логистики и управления цепями поставок в Санкт-Петербурге  </p><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>Aleksander U. Talavirya – Postgraduate student of the Department of Logistics and Supply Chain Management in St.Petersburg  </p><p>St. Petersburg</p></bio><email xlink:type="simple">a.talavirya@yandex.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Санкт-Петербургский институт информатики и автоматизации Российской Академии Наук (СПИИРАН)<country>Россия</country></aff><aff xml:lang="en">St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Национальный Исследовательский Университет Высшая Школа Экономики (НИУ ВШЭ)<country>Россия</country></aff><aff xml:lang="en">Higher School of Economics<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2019</year></pub-date><pub-date pub-type="epub"><day>01</day><month>11</month><year>2019</year></pub-date><volume>16</volume><issue>5</issue><fpage>57</fpage><lpage>69</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Ласкин М.Б., Талавиря А.Ю., 2019</copyright-statement><copyright-year>2019</copyright-year><copyright-holder xml:lang="ru">Ласкин М.Б., Талавиря А.Ю.</copyright-holder><copyright-holder xml:lang="en">Laskin M.B., Talavirya A.U.</copyright-holder><license 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/1421">https://statecon.rea.ru/jour/article/view/1421</self-uri><abstract><p>Целью исследования является оценка влияния введенной в эксплуатацию платной автомобильной дороги, проходящей по жилым кварталам города, на рыночную стоимость жилой недвижимости. Приведен обзор нетрадиционных методов оценки стоимости недвижимости, в основном, в зарубежных публикациях. В качестве платной автомобильной дороги выбран наиболее значимый транспортно-инфраструктурный проект текущего десятилетия для г. Санкт-Петербурга – Западный Скоростной Диаметр (ЗСД). Для анализа выбрана наиболее труднодоступная (до ввода в эксплуатацию ЗСД в 2016 году) часть города на Васильевском острове, для которой рассмотрены изменения в стоимости недвижимости на вторичном рынке в период с августа 2015 года по декабрь 2017 года, т.е. после ввода в эксплуатацию новой транспортной развязки ЗСД в западной части острова.  Для исследования были использованы данные Бюллетеня недви­жимости г. Санкт-Петербурга на конец 2015 и 2017 гг., данные кадастровой оценки жилой недвижимости г. Санкт-Петербур­га на 01.01.2015 и 01.01.2018 г.</p><p>Основным методом исследо­вания является изучение двумерных и условных распределений случайных величин цен предложений и кадастровых стоимостей, что позволяет получать оценки рыночной стоимости недвижи­мости, прошедшей кадастровый учет, и оценки темпов роста.  Примененное в статье сравнение цен предложений с кадастровы­ми стоимостями, при простом и естественном предположении о логарифмически нормальном распределении, позволяет предло­жить метод оценки рыночной стоимости для любого объекта недвижимости, даже если информация о нем отсутствует в рыночных данных. Полученные численные результаты показали удорожание значительной части масс-маркета за исследуемый период до 18% без учета скидки на торг, и до 9% с учетом скидки на торг, что несколько выше общего изменения цен предложений, которые можно встретить в рекламных изданиях. Значительное изменение (от 50%до 73%) выявлено у объектов недвижимости бизнес-класса, находящихся в зоне с значительно изменившими­ся видовыми характеристиками и улучшенной транспортной доступностью, в непосредственной близости от съезда с ЗСД.  </p></abstract><trans-abstract xml:lang="en"><p>The purpose of this research is to assess the impact of the commissioned toll road running through the city’s residential areas on the market value of residential real estate. The article presents a review of non-traditional methods for assessing real estate value, mainly in foreign publications. The Western High-Speed Diameter (WHSD) is the most significant transport and infrastructure project of the current decade for St. Petersburg. The most inaccessible part of the city on Vasilievsky Island was analyzed, as the example of new and secondary real estate value changes, were examined from August 2015 to December 2017, by the time when the new transport interchange of WHSD in the western part of the island was constructed and put into commission.  For the study, the authors used the data of the Real Estate Bulletin of St. Petersburg at the end of 2015 and 2017, the data of the cadastral assessment of residential real estate of St. Petersburg of 01.01.2015 and 01.01.2018. Main research method is the study of two-dimensional and conditional distributions of random values of bid prices and cadastral values, which allows obtaining estimates of the market value of the real estate that has passed cadastral registration, and estimates of growth rates.  The comparison of prices of offers with cadastral values applied in the article, with a simple and natural speculation of logarithmically normal distribution, allows us to propose a method of assessing the market  value for any property, even if the information about it is not available in the market data. The obtained numerical results showed a rise in the cost of a significant part of the mass-market for the study period up to 18% without discount on the auction, and up to 9% taking into account the discount on the auction. It turned out to be slightly higher than the general change in the prices of proposals that can be found in advertising publications. A significant change (from 50% to 73%) was found in business-class properties, located in the area with significantly changed species characteristics and improved transport accessibility, in the immediate vicinity of the exit from WHSD.  The results, indicating the growth of market value, allowed us to make a general conclusion about the changes in the attractiveness of the area for different segments of the population of the city: both for the mobile middle class, focused on the mass-market, and for buyers of the premium segment, having increased requirements for the real estate. The authors believe that the growth of the market value of real estate in the area of transport interchanges of modern infrastructure projects could be higher in other macroeconomic conditions. At present, the effective demand of the population is obviously not sufficient.  </p></trans-abstract><kwd-group xml:lang="ru"><kwd>платные дороги</kwd><kwd>транспортная инфраструктура</kwd><kwd>кадастровая и рыночная стоимость</kwd><kwd>логарифмически нормальный закон распределения цен</kwd></kwd-group><kwd-group xml:lang="en"><kwd>toll road</kwd><kwd>transport infrastructure</kwd><kwd>cadastral and market value</kwd><kwd>lognormal distribution of prices</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">Anselin L., Lozano-Gracia N.Errors in variables and spatial effects in hedonic house price models of ambient air quality. Empirical Economics. 2008. Vol. 34. Iss. 1. P. 5–34.</mixed-citation><mixed-citation xml:lang="en">Anselin L., Lozano-Gracia N.Errors in variables and spatial effects in hedonic house price models of ambient air quality. 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