Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Neural based contingent valuation of road traffic noise
Year:2017
Research Areas
  • Engineering
Information
Abstract
In this paper, we present a new approach to value the willingness to pay to reduce road noise annoyance using an artificial neural network ensemble. The model predicts, with precision and accuracy, a range for willingness to pay from subjective assessments of noise, a modelled noise exposure level, and both demographic and socio-economic conditions. The results were compared to an ordered probit econometric model in terms of the performance mean relative error and obtained 85.7% better accuracy. The results of this study show that the applied methodology allows the model to reach an adequate generalisation level, and can be applicable as a tool for determining the cost of transportation noise in order to obtain financial resources for action plans.
International
Si
JCR
Si
Title
Transportation Research Part D-Transport And Environment
ISBN
1361-9209
Impact factor JCR
1,626
Impact info
Datos JCR del año 2013
Volume
50C
10.1016/j.trd.2016.10.020
Journal number
From page
26
To page
39
Month
ENERO
Ranking
Participants
  • Autor: Luis Alberto Bravo Moncayo (UPM)
  • Autor: José Lucio Naranjo (Escuela Politécnica Nacional)
  • Autor: Ignacio Pavon Garcia (UPM)
  • Autor: Roberto Mosquera (Texas A)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Ingeniería Mecánica
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)