The aim of the present paper is to investigate if behavioural models which are more accurate and effective (latent variables hybrid choice models) in simulating new automotive technology adoption, may significantly affect market forecasts and environmental impacts estimation. Since the time and the cost to develop each modelling solution are significantly different and require different types of surveys, the main goal of the paper is to give some insights into the costs and the benefits of each solution. Moreover, different models are compared in terms of sensitivity to different market scenarios and in terms of estimated environmental impacts on a real case study (the city of Salerno - southern Italy).
Traditional random utility models vs hybrid choice models for assessing environmental impacts of a new technology: The HySolaKit case study
DE LUCA, STEFANO;DI PACE, ROBERTA
2017
Abstract
The aim of the present paper is to investigate if behavioural models which are more accurate and effective (latent variables hybrid choice models) in simulating new automotive technology adoption, may significantly affect market forecasts and environmental impacts estimation. Since the time and the cost to develop each modelling solution are significantly different and require different types of surveys, the main goal of the paper is to give some insights into the costs and the benefits of each solution. Moreover, different models are compared in terms of sensitivity to different market scenarios and in terms of estimated environmental impacts on a real case study (the city of Salerno - southern Italy).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
