A5062457130- Seismic Performance and Analysis
- Geological and Geophysical Studies Worldwide
- earthquake and tectonic studies
- Urban Planning and Valuation
- Structural Health Monitoring Techniques
- Medieval Architecture and Archaeology
- Remote-Sensing Image Classification
- Masonry and Concrete Structural Analysis
- Spatial and Panel Data Analysis
- Infrastructure Maintenance and Monitoring
- Land Use and Ecosystem Services
- Air Quality and Health Impacts
- Geological and Tectonic Studies in Latin America
- Remote Sensing and LiDAR Applications
- Regional Economic and Spatial Analysis
- Vehicle emissions and performance
- Archaeological and Historical Studies
- Regional Development and Innovation
- Flood Risk Assessment and Management
- Housing Market and Economics
- Tropical and Extratropical Cyclones Research
- 3D Surveying and Cultural Heritage
- Geographic Information Systems Studies
- Urbanism, Landscape, and Tourism Studies
- Odor and Emission Control Technologies
Universidad Politécnica de Madrid
2015-2024
Comunidad de Madrid
2017
Over the past few decades, rapid growth of cities has evolved into a significant social, demographic, and architectural phenomenon, highlighting vital importance urban planning in fostering sustainable development. In this context, machine learning emerged as game-changing discipline, utilizing advanced algorithms to reshape traditional approaches data management analysis.This study combines Geographic Information Systems (GIS), Deep Learning techniques, verified from General Directorate...
Abstract The seismic vulnerability of a city is degree its intrinsic susceptibility or predisposition to sustain damage losses stemming from events. In terms physical vulnerability, one the most important factors for assessing risk, especially, estimating losses, exposure structures, particularly those structures intended residential use. present article outlines methodology classifying buildings based on structural and non-structural components that ultimately determine building typology...
The development of geographic information systems has grown significantly over the past decade. Simultaneously, concept smart cities based on management large volumes data also spread worldwide. digital twin recently been incorporated into technological domain urban management. However, currently, phases such as integration, standardization, and process interconnection, tools utilities, professional training, application in real-world situations are converging. This paper presents experience...
Abstract This paper describes CEQID, a database of earthquake damage and casualty data assembled since the 1980s based on post-earthquake surveys conducted by range research groups. Following 2017–2019 updates, contains for more than five million individual buildings in over 1000 survey locations following 79 severely damaging earthquakes worldwide. The building broadly defined masonry reinforced concrete classes has been uniform set six levels assigned. Using estimated peak ground...
Property valuation studies often use classical statistics techniques. Among these techniques, the Artificial Neural Networks are most applied, overcoming inflexibility and linearity of hedonic models. Other researchers have used Geostatistics specifically Kriging Method, for interpreting spatial-temporal variability to predict housing unit prices. The innovation this study is highlight how Method can help better understand urban environment, improving results obtained by statistics. This...
The present study proposes a statistical methodology to rate the habitability of different types buildings after an earthquake. first step was rank variables that affect vulnerability building and formulate with discrimination index makes it possible identify as habitable or non-habitable. This ranking applied criteria established in various international guidelines are used distinguish between (undamaged/no structural damage) non-habitable (structural damage). proposed database information...
Spatial Analysis has been used since the 1990s for hedonic cadastral models of urban areas in large cities. This research aims to apply spatial analysis zoning a district Madrid located central part city order estimate housing prices. In doing so, necessary data have gathered, both vector and raster, as found on official government website private company websites. was done firstly analyse characteristics then objectives study because it is helpful use these types analyses based raster along...
La autoconstrucción con tierra, adobe o ladrillo es muy habitual en los países vías de desarrollo que están zonas alto riesgo sísmico. Ante la necesidad dar respuesta al problema, aportando sencillez constructiva, hemos trabajado desde hace años el empleo del Sistema Albañilería Integral (SAI). El SAI un sistema que, combinado materiales autóctonos, aporta resistencia sísmica y su facilidad ejecución lo adecuado para viviendas antisísmicas. Este artículo describe SAI, desarrolla proceso...
Creativity and innovation are crucial skills to face challenges in economy, environment social context today, especially next decade with 2030 Agenda for Sustainable Development adopted by all United Nations Member States. European Higher Education System considers STEM studies play a key role lead the global labor market address our economic system towards more sustainability equality model. Innovative educational projects developed at Universidad Politécinca de Madrid have identified lack...
Conducting field surveys for exposure and seismic vulnerability evaluation is the most costly, resource-intensive task when assessing earthquake risk. During past decade, risk analysts have been trying to alleviate this using remote sensing building characterization. However, use of databases created with had not sufficiently validated thus far. In paper, we an database in Port Prince (Haiti) freely accessible aerial ortho-imagery LiDAR points. We against two reference datasets from...
Agricultural management guarantees food security and economic development in various countries by applying new technologies to improve practices. This study aims identify the geomatic tools their relationship with agricultural activities used cartography reviewing scientific publications that contribute improving The methodology consists of (i) a data source search strategy related geomatics management; (ii) analysis; (iii) literary review contribution management. results show large part...
Abstract. Correct and reliable identification classification of different structures infrastructures that make up a city (e.g. residential buildings, school hospitals, power stations, routes communication, etc.) are great importance for the AEC/FM (Architecture, Engineering, Construction, Facilities Management) domain seismic risk assessments, among others. For decades, method collecting buildings information has been through field campaigns. This practice requires significant resources in...