Memorias de investigación
Artículos en revistas:
Evolution over Time of Heavy Vehicle Volume in Toll Roads: A Dynamic Panel Data to Identify Key Explanatory Variables in Spain
Año:2015

Áreas de investigación
  • Transporte

Datos
Descripción
Improving the knowledge of demand evolution over time is a key aspect in the evaluation of transport policies and in forecasting future investment needs. It becomes even more critical for the case of toll roads, which in recent decades has become an increasingly common device to fund road projects. However, literature regarding demand elasticity estimates in toll roads is sparse and leaves some important aspects to be analyzed in greater detail. In particular, previous research on traffic analysis does not often disaggregate heavy vehicle demand from the total volume, so that the specific behavioral patternsof this traffic segment are not taken into account. Furthermore, GDP is the main socioeconomic variable most commonly chosen to explain road freight traffic growth over time. This paper seeks to determine the variables that better explain the evolution of heavy vehicle demand in toll roads over time. To that end, we present a dynamic panel data methodology aimed at identifying the key socioeconomic variables that explain the behavior of road freight traffic throughout the years. The results show that, despite the usual practice, GDP may not constitute a suitable explanatory variable for heavy vehicle demand. Rather, considering only the GDP of those sectors with a high impact on transport demand, such as construction or industry, leads to more consistent results. The methodology is applied to Spanish toll roads for the 1990?2011 period. This is an interesting case in the international context, as road freight demand has experienced an even greater reduction in Spain than elsewhere, since the beginning of the economic crisis in 2008.
Internacional
Si
JCR del ISI
Si
Título de la revista
Transportation Research Part a-Policy And Practice
ISSN
0965-8564
Factor de impacto JCR
2,525
Información de impacto
Datos JCR del año 2013
Volumen
DOI
Número de revista
74
Desde la página
282
Hasta la página
297
Mes
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Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Planificación del Transporte
  • Centro o Instituto I+D+i: Centro de Investigación del Transporte
  • Departamento: Ingeniería Civil: Transporte y Territorio