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<title>C.U. UAEM Tenancingo</title>
<link href="http://hdl.handle.net/20.500.11799/21991" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/20.500.11799/21991</id>
<updated>2026-04-11T11:57:25Z</updated>
<dc:date>2026-04-11T11:57:25Z</dc:date>
<entry>
<title>La calle del hambre. Gastronomía tradicional y dinámicas territoriales.</title>
<link href="http://hdl.handle.net/20.500.11799/143884" rel="alternate"/>
<author>
<name>García Hinojosa, Iván</name>
</author>
<author>
<name>Jiménez Ruíz, Andrea Edurne</name>
</author>
<id>http://hdl.handle.net/20.500.11799/143884</id>
<updated>2026-02-28T04:02:09Z</updated>
<published>2025-05-12T00:00:00Z</published>
<summary type="text">La calle del hambre. Gastronomía tradicional y dinámicas territoriales.
García Hinojosa, Iván; Jiménez Ruíz, Andrea Edurne
En México, los establecimientos de comida callejera son considerados epicentros gastronómicos y culturales que desempeñan un papel fundamental en la construcción de identidad territorial debido al uso de ingredientes locales, la elaboración de platillos tradicionales y permitir entre las personas una conexión emocional, cultural y de pertenencia a su comunidad. Bajo este referente, esta investigación se enfoca en identificar y analizar dichas dinámicas en la “Calle del Hambre”, uno de los núcleos de comida callejera&#13;
más representativos de Zitácuaro en el Estado de Michoacán, México; combinando análisis territorial, demográfico y sociocultural.&#13;
Los principales resultados permiten identificar un perfil del consumidor de comida tradicional callejera y una dinámica territorial donde el espacio gastronómico funge como centro económico que fortalece el proceso de atracción turístico gastronómica.
Artículo publicado en Revista de Gastronomía y Cocina
</summary>
<dc:date>2025-05-12T00:00:00Z</dc:date>
</entry>
<entry>
<title>Innovación social a través de emprendimientos de gastronomía de calle liderados por mujeres, en el corredor turístico Ixtapan de la Sal-Tonatico, Estado de México</title>
<link href="http://hdl.handle.net/20.500.11799/143883" rel="alternate"/>
<author>
<name>Esquivel Alvirde, María Isabel</name>
</author>
<author>
<name>Delgado Ayala, María Elena</name>
</author>
<author>
<name>Jiménez Ruíz, Andrea Edurne</name>
</author>
<id>http://hdl.handle.net/20.500.11799/143883</id>
<updated>2026-02-28T04:01:01Z</updated>
<published>2025-12-22T00:00:00Z</published>
<summary type="text">Innovación social a través de emprendimientos de gastronomía de calle liderados por mujeres, en el corredor turístico Ixtapan de la Sal-Tonatico, Estado de México
Esquivel Alvirde, María Isabel; Delgado Ayala, María Elena; Jiménez Ruíz, Andrea Edurne
La innovación social es un instrumento clave &#13;
para hacer frente a diversas problemáticas que el &#13;
Estado e instituciones no han logrado resolver; &#13;
una estrategia integral que resulta de la situación &#13;
en desventaja de determinado grupo y que &#13;
gracias a la colaboración y empoderamiento &#13;
colectivo logran mejorar aspectos relacionados &#13;
con su calidad de vida.
En el presente artículo, se lleva a cabo una revisión teórica acerca de la innovación social y sus implicaciones  con el fin de exponer e interrelacionar elementos de la temática relevantes que se &#13;
tratan a lo largo del artículo.  Publicado en Revista ARA.
</summary>
<dc:date>2025-12-22T00:00:00Z</dc:date>
</entry>
<entry>
<title>Multiobjective Assignment of Citizens to INE Service Modules Using NSGA-II: An Efficient Optimization Approach</title>
<link href="http://hdl.handle.net/20.500.11799/143247" rel="alternate"/>
<author>
<name>Jardón, Edgar</name>
</author>
<author>
<name>Romero, Marcelo</name>
</author>
<author>
<name>Marcial-Romero, José-Raymundo</name>
</author>
<id>http://hdl.handle.net/20.500.11799/143247</id>
<updated>2026-01-27T04:00:17Z</updated>
<published>2024-06-17T00:00:00Z</published>
<summary type="text">Multiobjective Assignment of Citizens to INE Service Modules Using NSGA-II: An Efficient Optimization Approach
Jardón, Edgar; Romero, Marcelo; Marcial-Romero, José-Raymundo
Efficient allocation of citizens to service modules is crucial for the National Electoral Institute (INE) of Mexico, particularly for those applying for their voter identification card for the first time. This study focuses on a multi-objective optimization approach, using the Second Generation Non-Dominated Genetic Algorithm (NSGA-II), to assign citizens from 16 municipalities in the Toluca Valley to 10 INE service modules. The involved municipalities include Almoloya de Juárez, Calimaya, Chapultepec, Lerma, Metepec, among others, and the service modules are distributed in locations such as Almoloya de Juárez, Metepec, Lerma, and more. Two objective functions are utilized: (1) Maximizing facility coverage, ensuring that the largest number of citizens is assigned to a module, subject to the capacity constraints of each module, and (2) Minimizing transportation costs by reducing the total distance citizens need to travel to reach the modules. The NSGA-II algorithm is compared to alternative optimization methods, and fuzzy logic is employed to evaluate the quality of the generated solutions. The results demonstrate that the NSGA-II-based approach outperforms alternative methods in both efficiency and solution quality, and its impact on INE practice is discussed.
</summary>
<dc:date>2024-06-17T00:00:00Z</dc:date>
</entry>
<entry>
<title>Urban expansion modeling with a semi automated spatial Markov chain framework</title>
<link href="http://hdl.handle.net/20.500.11799/143241" rel="alternate"/>
<author>
<name>Jardón, Edgar</name>
</author>
<author>
<name>Romero, Marcelo</name>
</author>
<author>
<name>Marcial-Romero, José-Raymundo</name>
</author>
<id>http://hdl.handle.net/20.500.11799/143241</id>
<updated>2026-01-26T23:46:45Z</updated>
<published>2025-12-09T00:00:00Z</published>
<summary type="text">Urban expansion modeling with a semi automated spatial Markov chain framework
Jardón, Edgar; Romero, Marcelo; Marcial-Romero, José-Raymundo
Urban growth modeling is essential for effective urban planning, yet conventional techniques often lack spatial precision and rely heavily on manual image processing. This study proposes a semi-automated methodology using Spatial Markov Chains (SMC) to enhance urban growth projection by incorporating a novel image pre-processing technique. This approach combines automated image treatment with SMC modeling to estimate not only the probability of urban expansion but also its spatial placement, addressing a critical gap in urban growth forecasting methods. Using Landsat 7 and 8 satellite imagery, six Mexican cities–Acapulco, Puebla, Querétaro, Tampico, Tijuana, and Toluca–were selected as case studies. Data from 2003 were used to project urban expansion for 2017 and 2031, with four performance metrics–Kappa index, Jaccard index, Shannon’s entropy, and fractal dimension–applied to evaluate model accuracy. Results indicate that this approach produces reliable projections with a spatial accuracy exceeding 85%, as validated by metrics such as the Kappa index (0.75–0.81) and the Jaccard index (0.68–0.92). These results highlight the method’s capability to outperform traditional models in terms of precision and spatial detail, making it a robust tool for urban planning. The findings demonstrate the potential of semi-automated SMC methods to improve the precision of urban growth models, offering a valuable resource for policymakers and urban planners seeking to manage sustainable development effectively.
</summary>
<dc:date>2025-12-09T00:00:00Z</dc:date>
</entry>
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