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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">NATURAL AND MAN-MADE RISKS (PHYSICO-MATHEMATICAL AND APPLIED ASPECTS)</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">NATURAL AND MAN-MADE RISKS (PHYSICO-MATHEMATICAL AND APPLIED ASPECTS)</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>ПРИРОДНЫЕ И ТЕХНОГЕННЫЕ РИСКИ (ФИЗИКО-МАТЕМАТИЧЕСКИЕ И ПРИКЛАДНЫЕ АСПЕКТЫ)</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="print">2307-7476</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">122345</article-id>
   <article-id pub-id-type="doi">10.61260/2304-0130-2026-1-44-53</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>ИНЖЕНЕРНОЕ И ИНФОРМАЦИОННОЕ ОБЕСПЕЧЕНИЕ БЕЗОПАСНОСТИ ПРИ ЧРЕЗВЫЧАЙНЫХ СИТУАЦИЯХ</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>ENGINEERING AND INFORMATION SECURITY IN EMERGENCY SITUATIONS</subject>
    </subj-group>
    <subj-group>
     <subject>ИНЖЕНЕРНОЕ И ИНФОРМАЦИОННОЕ ОБЕСПЕЧЕНИЕ БЕЗОПАСНОСТИ ПРИ ЧРЕЗВЫЧАЙНЫХ СИТУАЦИЯХ</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">CRITERIA FOR ASSESSING THE OPTIMAL PLACEMENT  OF EMERGENCY RESCUE SERVICE UNITS</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>КРИТЕРИИ ОЦЕНКИ ОПТИМАЛЬНОСТИ РАЗМЕЩЕНИЯ ПОДРАЗДЕЛЕНИЙ АВАРИЙНО-СПАСАТЕЛЬНЫХ СЛУЖБ</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <contrib-id contrib-id-type="orcid">https://orcid.org/0009-0009-3361-3464</contrib-id>
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Ахунова</surname>
       <given-names>Дарья Геннадьевна</given-names>
      </name>
      <name xml:lang="en">
       <surname>Akhunova</surname>
       <given-names>Daria G.</given-names>
      </name>
     </name-alternatives>
     <email>shurakova.darya@bk.ru</email>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Санкт-Петербургский университет ГПС МЧС России</institution>
    </aff>
    <aff>
     <institution xml:lang="en">Saint Petersburg university of State fire service of EMERCOM of Russia</institution>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2026-04-10T00:00:00+03:00">
    <day>10</day>
    <month>04</month>
    <year>2026</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-04-10T00:00:00+03:00">
    <day>10</day>
    <month>04</month>
    <year>2026</year>
   </pub-date>
   <volume>2026</volume>
   <issue>1</issue>
   <fpage>44</fpage>
   <lpage>53</lpage>
   <history>
    <date date-type="received" iso-8601-date="2025-11-05T00:00:00+03:00">
     <day>05</day>
     <month>11</month>
     <year>2025</year>
    </date>
    <date date-type="accepted" iso-8601-date="2026-01-20T00:00:00+03:00">
     <day>20</day>
     <month>01</month>
     <year>2026</year>
    </date>
   </history>
   <self-uri xlink:href="https://journals.igps.ru/en/nauka/article/122345/view">https://journals.igps.ru/en/nauka/article/122345/view</self-uri>
   <abstract xml:lang="ru">
    <p>Рассмотрен анализ критериев оценки оптимальности размещения подразделений аварийно-спасательных служб. Рассмотрены основные научные подходы, а именно: классические модели размещения, покрывающие и максимизирующие модели, модели с учётом выживаемости и устойчивости, многокритериальные и геопространственные методы. Для оценки оптимального размещения выделены ключевые критерии, такие как время реагирования, охват населения и инфраструктуры, экономически-финансовые затраты, надёжность, риск и уязвимость, социальные факторы. Проведён сравнительный анализ их сильных и слабых сторон. Подчеркивается важность нахождения баланса между оперативностью реагирования, затратами и социальной справедливостью, а также перспективы применения гибридных моделей, больших данных и искусственного интеллекта в планировании размещения аварийно-спасательных служб.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>The article is devoted to the analysis of criteria for assessing the optimal placement of emergency rescue service units. The main scientific approaches are considered, namely: classical location models, covering and maximizing models, models considering survivability and resilience, multicriteria and geospatial methods. Key criteria for assessing optimal placement have been identified, such as response time, coverage of population and infrastructure, economic and financial costs, reliability, risk and vulnerability, and social factors. A comparative analysis of their strengths and weaknesses is carried out. The importance of finding a balance between response speed, costs, and social equity is emphasized, as well as the prospects for applying hybrid models, big data, and AI in emergency rescue service placement planning.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>размещение аварийно-спасательных служб</kwd>
    <kwd>время реагирования</kwd>
    <kwd>охват населения</kwd>
    <kwd>модели покрытия</kwd>
    <kwd>экономические критерии</kwd>
    <kwd>устойчивость системы</kwd>
    <kwd>многокритериальный анализ</kwd>
    <kwd>геоинформационные системы</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>emergency services deployment</kwd>
    <kwd>response time</kwd>
    <kwd>population coverage</kwd>
    <kwd>coverage models</kwd>
    <kwd>economic criteria</kwd>
    <kwd>system resilience</kwd>
    <kwd>multicriteria analysis</kwd>
    <kwd>geographic information systems</kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <p></p>
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