RT journal article
T1 A 3D GIS tool for the detection of noise hot-spots from major roads
A1 Puyana Romero, Virginia
A1 Cueto Ancela, José Luis
A1 Gey, Ricardo
A2 Ciencias y Técnicas de la Navegación y Construcciones Navales
K1 Noise action plans
K1 GIS for noise management
K1 Road traffic noise
AB The proper identification and prioritization of noise hot-spots caused by roads require a spatialanalysis 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 enrichthe scenarios used in the decision-making process that accompanies noise action plans. The newtool 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. Thetool was validated with a benchmark test using 20 stretches of the highway chosen at randomamong areas with the population exposed to more than 50 dB. The results show a relative meanerror of 1.33% after analyzing 3597 receivers above 50 dB. This contributes to the credibility andconfidence in the method. It was also proved that the new tool represents a substantial improvementin the detection of noise hot-spots compared to similar tools in 2D. Finally, one of themost important conclusions is that the new tool defines more precisely the extent of the roadnoise problem, determining exactly the contribution of each section of the road in each of thenoise problems diagnosed by the road noise maps. Among other things, this makes it easy toquickly discard inefficient noise mitigation measures
PB Elsevier Ltd
SN 1361-9209
YR 2020
FD 2020-07
LK http://hdl.handle.net/10498/30367
UL http://hdl.handle.net/10498/30367
LA eng
NO La 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.
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-nov-2026