Neural based contingent valuation of road traffic noise

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• 作者：Luis Bravo-Moncayo^a ; ^c ; ^{luis.bravo@udla.edu.ec} ; José ; Lucio Naranjo^b ; ^{jose.lucio@epn.edu.ec} ; Ignacio Pavó ; n Garcí ; a^c ; ^{ignacio.pavon@upm.es} ; Roberto Mosquera^d ; ^{robmun12@tamu.edu}
• 关键词：Artificial neural network ; Contingent valuation ; Road traffic noise
• 刊名：Transportation Research Part D: Transport and Environment
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：50
• 期：Complete
• 页码：26-39
• 全文大小：2273 K
• 卷排序：50

文摘

An artificial neural network approach for road noise valuing purposes is presented. The ANN model presents 85.7% more accuracy than an ordered probit econometric model. The model has a notable generalisation ability, although the subjectivity of the data.