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Pavón García, Ignacio; Bravo, L. y Lucio, J. (2016). Economic valuation of traffic noise based on artificial neural networks. En: "Industriales Research Meeting 2016", 20 abril 2016, Madrid, Spain. ISBN 978-84-16397-31-0. p. 29.
Título: | Economic valuation of traffic noise based on artificial neural networks |
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Autor/es: |
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Tipo de Documento: | Ponencia en Congreso o Jornada (Póster) |
Título del Evento: | Industriales Research Meeting 2016 |
Fechas del Evento: | 20 abril 2016 |
Lugar del Evento: | Madrid, Spain |
Título del Libro: | Industriales Research Meeting 2016 |
Fecha: | 2016 |
ISBN: | 978-84-16397-31-0 |
Materias: | |
Escuela: | E.T.S.I. Industriales (UPM) |
Departamento: | Ingeniería Mecánica |
Grupo Investigación UPM: | Investigación en Instrumentación y Acústica Aplicada I2A2 |
Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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The poster presents a new approach to value the willingness to pay to reduce road noise annoyance using an artificial neural network (ANN) ensemble. The model predicts, with adequate precision and accuracy, a willingness to pay range from subjetctive assessments of noise, a modeled noise exposure level, antd both demographic and socio-economic conditions. The results were compared with an ordered probit econometric model in terms of the performance mean relative error, and obtained a 85% better accuracy. The results of this study show that the model reach an adequate generalization level and can be applicable as a tool for valuing noise from transportation in order to obtain financial resources for action plans.
ID de Registro: | 46708 |
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Identificador DC: | http://oa.upm.es/46708/ |
Identificador OAI: | oai:oa.upm.es:46708 |
URL Oficial: | http://www.industriales.upm.es/investigacion/irm16/index.es.htm |
Depositado por: | Memoria Investigacion |
Depositado el: | 14 Jun 2017 18:28 |
Ultima Modificación: | 14 Jun 2017 18:28 |