Economic valuation of traffic noise based on artificial neural networks

Pavón García, Ignacio and Bravo, L. and Lucio, J. (2016). Economic valuation of traffic noise based on artificial neural networks. In: "Industriales Research Meeting 2016", 20 abril 2016, Madrid, Spain. ISBN 978-84-16397-31-0. p. 29.

Description

Title: Economic valuation of traffic noise based on artificial neural networks
Author/s:
  • Pavón García, Ignacio
  • Bravo, L.
  • Lucio, J.
Item Type: Presentation at Congress or Conference (Poster)
Event Title: Industriales Research Meeting 2016
Event Dates: 20 abril 2016
Event Location: Madrid, Spain
Title of Book: Industriales Research Meeting 2016
Date: 2016
ISBN: 978-84-16397-31-0
Subjects:
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería Mecánica
UPM's Research Group: Investigación en Instrumentación y Acústica Aplicada I2A2
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (3MB) | Preview

Abstract

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.

More information

Item ID: 46708
DC Identifier: http://oa.upm.es/46708/
OAI Identifier: oai:oa.upm.es:46708
Official URL: http://www.industriales.upm.es/investigacion/irm16/index.es.htm
Deposited by: Memoria Investigacion
Deposited on: 14 Jun 2017 18:28
Last Modified: 14 Jun 2017 18:28
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM