<?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>1659-3359</journal-id>
<journal-title><![CDATA[Tec Empresarial]]></journal-title>
<abbrev-journal-title><![CDATA[Tec Empre.]]></abbrev-journal-title>
<issn>1659-3359</issn>
<publisher>
<publisher-name><![CDATA[Instituto Tecnológico de Costa Rica]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1659-33592023000300046</article-id>
<article-id pub-id-type="doi">10.18845/te.v17i3.6849</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Assessment of urban development: A composite indicator analysis of the safe city index through the 'benefit of the doubt' model]]></article-title>
<article-title xml:lang="es"><![CDATA[Evaluación de desarrollo urbano: un análisis de indicadores compuestos del índice de ciudad segura a través del modelo del 'beneficio de la duda']]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Burgoa]]></surname>
<given-names><![CDATA[Nadine]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rosado]]></surname>
<given-names><![CDATA[Andre]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Polytechnic University of Catalonia (UPC Barcelona Tech) Department of Management ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Spain</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Polytechnic University of Catalonia (UPC Barcelona Tech) Department of Management ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Spain</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2023</year>
</pub-date>
<volume>17</volume>
<numero>3</numero>
<fpage>46</fpage>
<lpage>62</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;pid=S1659-33592023000300046&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_abstract&amp;pid=S1659-33592023000300046&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_pdf&amp;pid=S1659-33592023000300046&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This study employs the 'benefit of the doubt' (BOD) weighting model to build a composite indicator to evaluate urban development in 60 cities located around the world for 2021. The results of the empirical application based on the data provided by The Economist (i.e., safe city index) reveal the informative power of the proposed composite indicator, relative to models using equal weight restrictions. Findings indicate that there are significant efficiency differences among the analyzed cities, and that cities follow different strategic pathways when it comes to design urban policies. This suggests that there is much scope for strategic and effective support policy in many cities. The results of the study highlight that an analysis based on the BOD approach may offer useful information to policy makers on what strategic actions may potentially optimize the allocation of local resources and, subsequently, enhance urban development.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Este estudio emplea el modelo del 'beneficio de la duda' (BOD) para construir un indicador compuesto que permita evaluar el nivel de eficiencia en desarrollo urbano de 60 ciudades ubicadas en todo el mundo para 2021. Los resultados de la aplicación empírica a partir de datos proporcionados por The Economist (índice de ciudades seguras) revelan el poder informativo del indicador compuesto propuesto, comparado con modelos que dan igual ponderación a las variables estudiadas. Los resultados muestran que existen diferencias significativas de eficiencia entre las ciudades analizadas, y que las ciudades siguen caminos estratégicos diferentes cuando se trata de diseñar políticas urbanas. Esto sugiere que hay mucho margen para una política de apoyo estratégica y eficaz en muchas ciudades. Los resultados del estudio destacan que un análisis basado en el enfoque BOD puede ofrecer información útil a los responsables políticos sobre qué acciones estratégicas pueden potencialmente optimizar la asignación de recursos locales y, en consecuencia, mejorar el nivel de desarrollo urbano.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Urban development]]></kwd>
<kwd lng="en"><![CDATA[data envelopment analysis]]></kwd>
<kwd lng="en"><![CDATA[benefit of the doubt]]></kwd>
<kwd lng="en"><![CDATA[safe city index]]></kwd>
<kwd lng="es"><![CDATA[Desarrollo urbano]]></kwd>
<kwd lng="es"><![CDATA[bienestar urbano]]></kwd>
<kwd lng="es"><![CDATA[análisis envolvente de datos]]></kwd>
<kwd lng="es"><![CDATA[beneficio de la duda]]></kwd>
<kwd lng="es"><![CDATA[índice de ciudades seguras]]></kwd>
</kwd-group>
</article-meta>
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<page-range>101365</page-range></nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="">
<collab>World Bank</collab>
<source><![CDATA[Urban Development]]></source>
<year>2022</year>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
