<?xml version="1.0" encoding="ISO-8859-1"?><article 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">
<front>
<journal-meta>
<journal-id>0121-1129</journal-id>
<journal-title><![CDATA[Revista Facultad de Ingeniería]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Fac. ing.]]></abbrev-journal-title>
<issn>0121-1129</issn>
<publisher>
<publisher-name><![CDATA[Universidad Pedagógica y Tecnológica de Colombia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0121-11292025000300003</article-id>
<article-id pub-id-type="doi">10.19053/01211129.v34.n73.2025.18085</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[DATA ANALYTICS MODEL OF THE ACCESSIBILITY-VULNERABILITY RELATIONSHIP: RISK SCENARIOS IN URBAN AREAS]]></article-title>
<article-title xml:lang="es"><![CDATA[Modelo de analítica de datos de la relación accesibilidad-vulnerabilidad: Escenarios de riesgo en ciudades]]></article-title>
<article-title xml:lang="pt"><![CDATA[MODELO DE ANÁLISE DE DADOS DA RELAÇÃO ACESSIBILIDADE-VULNERABILIDADE: CENÁRIOS DE RISCO EM CIDADES]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sánchez-Grajales]]></surname>
<given-names><![CDATA[Jose-David]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bucheli]]></surname>
<given-names><![CDATA[Víctor]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Jaramillo]]></surname>
<given-names><![CDATA[Ciro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad del Valle  ]]></institution>
<addr-line><![CDATA[Cali ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad del Valle  ]]></institution>
<addr-line><![CDATA[Cali ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad del Valle  ]]></institution>
<addr-line><![CDATA[Cali ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2025</year>
</pub-date>
<volume>34</volume>
<numero>73</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0121-11292025000300003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0121-11292025000300003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0121-11292025000300003&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT A clustering model that examines the relationship between accessibility and vulnerability was proposed. The aim was to observe spatial accessibility variables through urban public transportation and assess the vulnerability of the population in urban areas. This model was tested in the context of the COVID-19 pandemic in the city of Cali. A hierarchical agglomerative clustering analysis was conducted on 22 communes in Cali, Colombia, at three different points in time. The Shapiro-Wilk test was used to assess the normality of the data grouped into the obtained profiles. The model identifies homogeneous groups and defines the zones of concern within the city of Cali. These zones provide insight into the risk scenario regarding accessibility-vulnerability profiles, including access to essential services such as healthcare and food for various population groups (more vulnerable or less vulnerable). The results revealed a new zoning of the city of Cali within the context of the COVID-19 pandemic risk scenario. The accessibility-vulnerability profiles were automatically identified, supporting strategic decision-making processes related to public policies, risk management, and land use management. New zoning of the city enables targeted attention to each area based on its specific characteristics, thereby addressing the complexity of the problem.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN Se propone la construcción de un modelo de agrupamiento automático de la relación accesibilidad-vulnerabilidad. Específicamente, se busca observar las variables de accesibilidad espacial a través del transporte público urbano y la vulnerabilidad de la población en una ciudad. El modelo se probó para el escenario de riesgo de la pandemia de COVID-19 en la ciudad de Cali. Por lo anterior, se llevó a cabo un análisis de clustering aglomerativo jerárquico en 22 comunas de la ciudad de Cali, Colombia, en tres momentos temporales. Se evaluó la distribución de los indicadores en cada grupo, utilizando la prueba de Shapiro-Wilk, para contrastar la normalidad de los datos agrupados en los perfiles obtenidos. El modelo permite identificar grupos homogéneos y definir zonas de atención en la ciudad. Estas zonas ofrecen un entendimiento del escenario de riesgo en términos de perfiles de accesibilidad-vulnerabilidad: acceso en transporte público a equipamientos esenciales como el sistema de salud y alimentos para diferentes grupos de población (más vulnerables o menos vulnerables). Los resultados revelan una nueva zonificación de la ciudad de Cali en el escenario de riesgo de la pandemia de COVID-19 los cuales se muestran mediante representación cartográfica. Se identificaron automáticamente perfiles de accesibilidad-vulnerabilidad. Estos resultados apoyan los procesos de toma de decisiones estratégicas, particularmente los relacionados con políticas públicas, gestión de riesgos y gestión del uso del suelo a partir de variables relevantes. La nueva zonificación de la ciudad permite atender de forma específica cada zona de acuerdo a sus características intrínsecas, logrando así gestionar la complejidad del problema.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[RESUMO Propõe-se a construção de um modelo de agrupamento automático da relação acessibilidade-vulnerabilidade. Especificamente, busca-se observar as variáveis de acessibilidade espacial por meio do transporte público urbano e a vulnerabilidade da população em uma cidade. O modelo foi testado para o cenário de risco da pandemia de COVID-19 na cidade de Cali. Para isso, realizou-se uma análise de clustering aglomerativo hierárquico em 22 comunas da cidade de Cali, Colômbia, em três momentos temporais. Avaliou-se a distribuição dos indicadores em cada grupo utilizando o teste de Shapiro-Wilk, a fim de verificar a normalidade dos dados agrupados nos perfis obtidos. O modelo permite identificar grupos homogêneos e definir zonas de atenção na cidade. Essas zonas oferecem um entendimento do cenário de risco em termos de perfis de acessibilidade-vulnerabilidade: acesso por transporte público a equipamentos essenciais, como o sistema de saúde e alimentos, para diferentes grupos populacionais (mais vulneráveis ou menos vulneráveis). Os resultados revelam uma nova zonificação da cidade de Cali no cenário de risco da pandemia de COVID-19, apresentada por meio de representação cartográfica. Perfis de acessibilidade-vulnerabilidade foram identificados automaticamente. Esses resultados apoiam os processos de tomada de decisão estratégica, particularmente aqueles relacionados a políticas públicas, gestão de riscos e gestão do uso do solo com base em variáveis relevantes. A nova zonificação da cidade permite atender especificamente cada zona de acordo com suas características intrínsecas, possibilitando assim gerir a complexidade do problema.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[accessibility-vulnerability relationship]]></kwd>
<kwd lng="en"><![CDATA[complex systems]]></kwd>
<kwd lng="en"><![CDATA[population dynamics]]></kwd>
<kwd lng="en"><![CDATA[risk management]]></kwd>
<kwd lng="en"><![CDATA[spacetemporal clustering]]></kwd>
<kwd lng="es"><![CDATA[agrupamiento espaciotemporal]]></kwd>
<kwd lng="es"><![CDATA[dinámica poblacional]]></kwd>
<kwd lng="es"><![CDATA[gestión de riesgos]]></kwd>
<kwd lng="es"><![CDATA[relación accesibilidadvulnerabilidad]]></kwd>
<kwd lng="es"><![CDATA[sistemas complejos]]></kwd>
<kwd lng="pt"><![CDATA[agrupamento espaço-temporal]]></kwd>
<kwd lng="pt"><![CDATA[dinâmica populacional]]></kwd>
<kwd lng="pt"><![CDATA[gestão de riscos]]></kwd>
<kwd lng="pt"><![CDATA[relação acessibilidade- vulnerabilidade]]></kwd>
<kwd lng="pt"><![CDATA[sistemas complexos]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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