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Descripción
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| This study reports the results of a contingent valuation of road traffic noise in Quito, Ecuador. Two approaches were evaluated: an ordered probit econometric model and a committee of artificial neural networks. The input variables were obtained through a social survey that assess the respondent?s noise perception and socio economic status as well as the modelled noise exposure level. A comparison indicates that the ANN model can predict the willingness to pay to reduce road noise annoyance with 85.7% better accuracy than the econometric model. The proposed approach reaches an adequate generalisation level, becoming a tool for determining the cost of transportation noise in a policy-making context. | |
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Internacional
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Si |
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Nombre congreso
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22nd International Congress on Acoustics |
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Tipo de participación
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960 |
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Lugar del congreso
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Buenos Aires, Argentina |
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Revisores
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No |
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ISBN o ISSN
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0024151599 |
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DOI
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Fecha inicio congreso
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05/09/2016 |
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Fecha fin congreso
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09/09/2016 |
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Desde la página
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1 |
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Hasta la página
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10 |
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Título de las actas
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Proceedings |