Sustainable Mobility Policy Analysis Using Hybrid Choice Models: Is It the Right Choice?
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García Melero, Gustavo; Sainz González, Rubén; Coto Millán, Pablo; Valencia Vásquez, AlejandraFecha
2021Derechos
Attribution 4.0 International ©2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Publicado en
Sustainability 2021, 13(5), 2993
Editorial
MDPI
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Palabras clave
Sustainable mobility
Policy analysis
Hybrid choice models
Latent variables
Mode choice
Resumen/Abstract
In recent years, sustainable mobility policy analysis has used Hybrid Choice Models (HCM) by incorporating latent variables in the mode choice models. However, the impact on policy analysis outcomes has not yet been determined with certainty. This paper aims to measure the effect of HCM on sustainable mobility policy analysis compared to traditional models without latent variables. To this end, we performed mode choice research in the city of Santander, Spain. We identified two latent variables -Safety and Comfort- and incorporated them as explanatory variables in the HCM. Later, we conducted a sensitivity study for sustainable mobility policy analysis by simulating different policy scenarios. We found that the HCM amplified the impact of sustainable mobility policies on the modal shares, and provided an excessive reaction in the individuals' travel behavior. Thus, the HCM overrated the impact of sustainable mobility policies on the modal switch. Likewise, for all of the mode choice models, policies that promoted public transportation were more effective in increasing bus modal shares than those that penalized private vehicles. In short, we concluded that sustainable mobility policy analysis should use HCM prudently, and should not set them as the best models beforehand.
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