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dc.contributor.authorPuyana Romero, Virginia 
dc.contributor.authorCueto Ancela, José Luis 
dc.contributor.authorGey, Ricardo
dc.contributor.otherCiencias y Técnicas de la Navegación y Construcciones Navaleses_ES
dc.date.accessioned2024-01-29T11:06:19Z
dc.date.available2024-01-29T11:06:19Z
dc.date.issued2020-07
dc.identifier.issn1361-9209
dc.identifier.urihttp://hdl.handle.net/10498/30367
dc.descriptionLa mayoría de los planes de acción se basan en herramientas programadas en GIS que de manera sistemática evalúan el territorio y marcan los hot-spots por la concentración de personas expuestas a altos niveles de ruido. Pero estos programas no acotan de forma conveniente los emisores responsables de estos niveles excesivos. En este paper se muestra una herramienta creada en GIS-3D para la gestión del ruido procedente de carreteras. La herramienta esta descrita pormenorizadamente con lo cual cualquier persona con conocimientos en programación en GIS, Python, bases de datos geográficas, puede desarrollarlo.es_ES
dc.description.abstractThe proper identification and prioritization of noise hot-spots caused by roads require a spatial analysis that goes beyond the information provided by strategic noise maps. With this purpose, this paper describes the development and testing of a new 3D tool built using ArcGIS scripts, which has been created for this task. This tool provides “enhanced information” that can enrich the scenarios used in the decision-making process that accompanies noise action plans. The new tool was tested in a residential area crossed by the A-376 highway, in the province of Seville, Spain, since the use of real data can better show the capabilities of the new methodology. The tool was validated with a benchmark test using 20 stretches of the highway chosen at random among areas with the population exposed to more than 50 dB. The results show a relative mean error of 1.33% after analyzing 3597 receivers above 50 dB. This contributes to the credibility and confidence in the method. It was also proved that the new tool represents a substantial improvement in the detection of noise hot-spots compared to similar tools in 2D. Finally, one of the most important conclusions is that the new tool defines more precisely the extent of the road noise problem, determining exactly the contribution of each section of the road in each of the noise problems diagnosed by the road noise maps. Among other things, this makes it easy to quickly discard inefficient noise mitigation measureses_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherElsevier Ltdes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceTRANSPORTATION RESEARCH PART D: TRANSPORT AND ENVIRONMENT. Volume 84, July 2020. 102376es_ES
dc.subjectNoise action planses_ES
dc.subjectGIS for noise managementes_ES
dc.subjectRoad traffic noisees_ES
dc.titleA 3D GIS tool for the detection of noise hot-spots from major roadses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsclosed accesses_ES
dc.description.physDesc20 páginas 53 referencias bibliográficases_ES
dc.identifier.doihttps://doi.org/10.1016/j.trd.2020.102376
dc.type.hasVersionVoRes_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Esta obra está bajo una Licencia Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internacional