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      <doi>10.14455/ISEC.2026.13(1).INF-01</doi>
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        <article-title>FRAMEWORK FOR IDENTIFYING RESILIENCE CRITERIA IN PROVINCIAL ROAD INFRASTRUCTURE DESIGN</article-title>
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      <author>CAROLA GORDILLO<sup>1</sup>, NATIVIDAD GARCÍA-TRONCOSO<sup>1</sup>, JAVIER VASQUEZ-MONTEROS<sup>2</sup>, ALDO PONCE-NEVAREZ<sup>3</sup></author>
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        <sup>1</sup>FICT, Escuela Superior Politécnica del Litoral, Guayaquil, Ecuador<br />
        <sup>2</sup>Dept of Civil Engineering, Universidad Técnica Particular de Loja, Loja, Ecuador<br />
        <sup>3</sup>Dept of Civil Engineering, Pontificia Universidad Católica del Ecuador-Sede Manabí, Portoviejo, Ecuador<br />
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      <title>ABSTRACT</title>
      <p>Resilient road infrastructure has become a strategic priority for public institutions and development programs, particularly in regions exposed to climate variability and recurrent flooding, such is the case of Guayas Province in Ecuador.  This paper presents a framework for identifying resilience criteria in road studies, developed from the experience, at the Prefecture of Guayas, within the Resilient Rural Roads Project (P504400) financed by the World Bank.  The methodology follows a four-stage approach:  document review, technical workshops, multicriteria evaluation, and practical recommendations.  A total of 85 technical documents from seven road projects (89.75km) were reviewed to assess the inclusion of resilience-related elements.  The findings reveal that the disciplines of Hydraulics (40%), Road Safety (20%), Geotechnics (15%), Structures (15%), and Pavements (10%) have the highest weighted influence on resilience performance.  The framework provides a replicable and systematic process for integrating resilience concepts into road design studies, bridging the gap between institutional guidelines and technical practice.  Its applicability extends to local, national, and regional contexts across Latin America, supporting better studies for the continuous improvement of road infrastructure design.</p>
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        <italic>Keywords: </italic>Sustainability, Risk analysis, Climate adaptation, Local conditions</p>
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      <hpdf>INF-01</hpdf>
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