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Keywords = Andean historic center

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28 pages, 7693 KB  
Article
Social Vulnerability as a Component of Landslide Risk in Quito, Ecuador
by Fernando Puente-Sotomayor, Fernando Barragán-Ochoa and Jacques Teller
Land 2026, 15(7), 1248; https://doi.org/10.3390/land15071248 - 11 Jul 2026
Viewed by 231
Abstract
This article examines social vulnerability (SV) as a necessary component of landslide risk assessment in the urban area of Quito, Ecuador. Landslide susceptibility identifies where slope instability is more likely, but it does not explain which populations have fewer resources to anticipate, cope [...] Read more.
This article examines social vulnerability (SV) as a necessary component of landslide risk assessment in the urban area of Quito, Ecuador. Landslide susceptibility identifies where slope instability is more likely, but it does not explain which populations have fewer resources to anticipate, cope with, or recover from such events. Using 2010 census-tract data, principal component analysis (PCA) was applied to derive interpretable factors of SV. The most robust factor—structural socioeconomic precariousness—combines precarious occupational conditions, lack of access to social security or private insurance, and limited access to new technologies. This factor was combined with a previously developed landslide susceptibility map (LSM) based on events recorded between 2005 and 2017 and aggregated to census tracts. The Comparative Environmental Risk Index (CERI) was then used to interpret whether socially vulnerable groups are disproportionately located in areas of higher landslide susceptibility. Results reveal a comparatively safer and socially advantaged populations axis from the center-north toward the eastern valleys, while high-risk and socially vulnerable areas concentrate in the south and selected peripheral zones. The study provides a historical and methodological baseline and contributes a quantitative, spatial, urban approach to landslide risk inequity in an Andean city. Full article
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25 pages, 21909 KB  
Article
ADAS-TSR: A Deep Learning-Based Traffic Sign Recognition System with Voice Alerts for Andean Historic City Centers
by Eduardo J. Urbina-Dominguez, Hemerson Lizarbe-Alarcon, Yuri Galvez-Gastelu, Efrain E. Porras-Flores, Wilmer E. Moncada-Sosa, Jose E. Estrada-Cardenas, Edward Leon-Palacios and Diego O. Tenorio-Huarancca
Appl. Sci. 2026, 16(6), 2664; https://doi.org/10.3390/app16062664 - 11 Mar 2026
Cited by 1 | Viewed by 1155
Abstract
Colonial historic city centers represent a paradigmatic challenge for modern road safety, as they are characterized by narrow streets originally designed for carriage and pedestrian traffic. This research presents ADAS-TSR, a deep learning-based advanced driver assistance system for vertical traffic sign detection with [...] Read more.
Colonial historic city centers represent a paradigmatic challenge for modern road safety, as they are characterized by narrow streets originally designed for carriage and pedestrian traffic. This research presents ADAS-TSR, a deep learning-based advanced driver assistance system for vertical traffic sign detection with voice alerts, specifically designed for the Historic Center of Ayacucho, Peru, which is located at 2761 m a.s.l. An original dataset comprising 2250 images with 2450 instances corresponding to 14 sign classes according to Peruvian regulations was constructed. The dataset was captured under real operational conditions, including deteriorated, partially occluded, and vehicle impact-deformed signage. A comprehensive multi-model benchmark experiment was conducted, comparing four CNN-based detectors (YOLOv8m, YOLO11n, YOLO26n, YOLO26s) and one transformer-based detector (RT-DETR-l) spanning both classical and state-of-the-art architectures released through January 2026. YOLO26s achieved the best overall performance, with an mAP@0.5 of 0.994 and mAP@0.5:0.95 of 0.989 while using only 9.5 M parameters. YOLO11n matched the performance of YOLOv8m with 10× fewer parameters (2.6 M vs. 25.9 M). Uncertainty analysis revealed that modern architectures exhibit significantly higher prediction confidence (mean > 0.90) compared to YOLOv8m (0.82), and fairness analysis confirmed equitable detection across all 14 classes (Gini < 0.002). A voice alert system with five priority levels and rule-based temporal filtering for detection stabilization was implemented. Validation across five urban circuits spanning 14.11 km demonstrated a detection rate of 94.7% with a 73% reduction in redundant alerts. Full article
(This article belongs to the Section Computing and Artificial Intelligence)
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30 pages, 17000 KB  
Article
Solar Technology and Heritage Conservation in the Andes: Feasibility of Using Handcrafted Photovoltaic Roof Tiles in the Historic Center of Cuenca, Ecuador
by Paul Yuquilima-Heras and Juan-Carlos Cobos-Torres
Heritage 2025, 8(11), 454; https://doi.org/10.3390/heritage8110454 - 30 Oct 2025
Viewed by 1007
Abstract
Integrating renewable energy into heritage buildings poses technical, aesthetic, and regulatory challenges, especially in Andean cities with a rich historical legacy, such as Cuenca, Ecuador. This study addresses the design and implementation of a prototype for handcrafted photovoltaic roof tiles that comply with [...] Read more.
Integrating renewable energy into heritage buildings poses technical, aesthetic, and regulatory challenges, especially in Andean cities with a rich historical legacy, such as Cuenca, Ecuador. This study addresses the design and implementation of a prototype for handcrafted photovoltaic roof tiles that comply with the conservation regulations of the Historic Center. The proposed solution is sustainable, visually unobtrusive, and suitable for heritage urban environments. A technical assessment was conducted for 23 educational institutions located in the Historic Center to evaluate the structural suitability of their roofs for solar panel installation. Based on this assessment, a photovoltaic roof tile prototype was developed using accessible materials, such as terracotta-tinted acrylic, and evaluated in terms of energy efficiency, architectural integration, and regulatory compliance. As a result, 12 buildings were found to be structurally suitable for system installation, of which 11 had sufficient roof space to meet their daytime energy demands. The prototype proved to be functional, replicable, aesthetically harmonious with the heritage setting, and fully compliant with current municipal regulations. The School of Law at the Catholic University of Cuenca was selected as a demonstration site due to its technical suitability and heritage significance. Thus, handcrafted photovoltaic roof tiles emerge as an innovative and viable solution for incorporating solar energy into protected urban settings, offering environmental, technical, and social benefits. Lastly, this study outlines future research pathways aimed at developing new materials, advancing energy storage strategies, and exploring community perceptions in heritage environments. Full article
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24 pages, 3771 KB  
Article
The Phylogeography of Potato Virus X Shows the Fingerprints of Its Human Vector
by Segundo Fuentes, Adrian J. Gibbs, Mohammad Hajizadeh, Ana Perez, Ian P. Adams, Cesar E. Fribourg, Jan Kreuze, Adrian Fox, Neil Boonham and Roger A. C. Jones
Viruses 2021, 13(4), 644; https://doi.org/10.3390/v13040644 - 9 Apr 2021
Cited by 20 | Viewed by 5928
Abstract
Potato virus X (PVX) occurs worldwide and causes an important potato disease. Complete PVX genomes were obtained from 326 new isolates from Peru, which is within the potato crop′s main domestication center, 10 from historical PVX isolates from the Andes (Bolivia, Peru) or [...] Read more.
Potato virus X (PVX) occurs worldwide and causes an important potato disease. Complete PVX genomes were obtained from 326 new isolates from Peru, which is within the potato crop′s main domestication center, 10 from historical PVX isolates from the Andes (Bolivia, Peru) or Europe (UK), and three from Africa (Burundi). Concatenated open reading frames (ORFs) from these genomes plus 49 published genomic sequences were analyzed. Only 18 of them were recombinants, 17 of them Peruvian. A phylogeny of the non-recombinant sequences found two major (I, II) and five minor (I-1, I-2, II-1, II-2, II-3) phylogroups, which included 12 statistically supported clusters. Analysis of 488 coat protein (CP) gene sequences, including 128 published previously, gave a completely congruent phylogeny. Among the minor phylogroups, I-2 and II-3 only contained Andean isolates, I-1 and II-2 were of both Andean and other isolates, but all of the three II-1 isolates were European. I-1, I-2, II-1 and II-2 all contained biologically typed isolates. Population genetic and dating analyses indicated that PVX emerged after potato’s domestication 9000 years ago and was transported to Europe after the 15th century. Major clusters A–D probably resulted from expansions that occurred soon after the potato late-blight pandemic of the mid-19th century. Genetic comparisons of the PVX populations of different Peruvian Departments found similarities between those linked by local transport of seed potato tubers for summer rain-watered highland crops, and those linked to winter-irrigated crops in nearby coastal Departments. Comparisons also showed that, although the Andean PVX population was diverse and evolving neutrally, its spread to Europe and then elsewhere involved population expansion. PVX forms a basal Potexvirus genus lineage but its immediate progenitor is unknown. Establishing whether PVX′s entirely Andean phylogroups I-2 and II-3 and its Andean recombinants threaten potato production elsewhere requires future biological studies. Full article
(This article belongs to the Special Issue Plant Virus Surveillance and Metagenomics)
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21 pages, 5333 KB  
Article
Insights for Air Quality Management from Modeling and Record Studies in Cuenca, Ecuador
by René Parra and Claudia Espinoza
Atmosphere 2020, 11(9), 998; https://doi.org/10.3390/atmos11090998 - 18 Sep 2020
Cited by 26 | Viewed by 5996
Abstract
On-road traffic is the primary source of air pollutants in Cuenca (2500 m. a.s.l.), an Andean city in Ecuador. Most of the buses in the country run on diesel, emitting high amounts of NOx (NO + NO2) and PM2.5 [...] Read more.
On-road traffic is the primary source of air pollutants in Cuenca (2500 m. a.s.l.), an Andean city in Ecuador. Most of the buses in the country run on diesel, emitting high amounts of NOx (NO + NO2) and PM2.5, among other air pollutants. Currently, an electric tram system is beginning to operate in this city, accompanied by new routes for urban buses, changing the spatial distribution of the city’s emissions, and alleviating the impact in the historic center. The Ecuadorian energy efficiency law requires that all vehicles incorporated into the public transportation system must be electric by 2025. As an early and preliminary assessment of the impact of this shift, we simulated the air quality during two scenarios: (1) A reference scenario corresponding to buses running on diesel (DB) and (2) the future scenario with electric buses (EB). We used the Eulerian Weather Research and Forecasting with Chemistry (WRF-Chem) model for simulating the air quality during September, based on the last available emission inventory (year 2014). The difference in the results of the two scenarios (DB-EB) showed decreases in the daily maximum hourly NO2 (between 0.8 to 16.4 µg m−3, median 7.1 µg m−3), and in the 24-h mean PM2.5 (0.2 to 1.8 µg m−3, median 0.9 µg m−3) concentrations. However, the daily maximum 8-h mean ozone (O3) increased (1.1 to 8.0 µg m−3, median 3.5 µg m−3). Apart from the primary air quality benefits acquired due to decreases in NO2 and PM2.5 levels, and owing to the volatile organic compounds (VOC)-limited regime for O3 production in this city, modeling suggests that VOC controls should accompany future NOx reduction for avoiding increases in O3. Modeled tendencies of these pollutants when moving from the DB to EB scenario were consistent with the tendencies observed during the COVID-19 lockdown in this city, which is a unique reference for appreciating the potentiality and identifying insights for air quality improvements. This consistency supports the approach and results of this contribution, which provides early insights into the effects on air quality due to the recent operability of the electric tram and the future shift from diesel to electric buses in Cuenca. Full article
(This article belongs to the Special Issue Coronavirus Pandemic Shutdown Effects on Urban Air Quality)
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