Demand elasticity estimation for a park & ride facility by means of discrete choice modelling

Autores/as

  • Emilio Picasso Facultad de Ingeniería. Universidad de Buenos Aires.
  • Mariano Bonoli Escobar Facultad de Ingeniería-Universidad de Buenos Aires.
  • Maria Stewart Harris Facultad de Ingeniería-Universidad de Buenos Aires.
  • Gonzalo Peña Facultad de Ingeniería-Universidad de Buenos Aires.
  • Osvaldo Mermoz

Palabras clave:

discrete choice, park and ride, demand estimation, pricesensitivity, elasticity

Resumen

Park & ride facilities have been proposed as a solution for the traffic problem of large cities prevalent around the world. In this article we define them as large parking facilities located in the surroundings of the city, with the purpose of deterring commuters from using their cars in the city centre. Building a park & 
ride facility requires a large investment. Demand estimation at various price levels is a critical input for the project evaluation.

In a previous article (Picasso et al., 2012) we have modelled the demand for a park & ride facility in the north access to Buenos Aires city via discrete choice methods, determining its attractiveness for different segments of the target population. In this article we focus on the price sensitivity of demand. A predicting application was developed to estimate the demand at different price levels for a range of demographic characteristics. The value of time is also determined, by means of the compensated variation.

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Citas

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Publicado

2018-06-11

Cómo citar

Picasso, E., Escobar, M. B., Harris, M. S., Peña, G., & Mermoz, O. (2018). Demand elasticity estimation for a park & ride facility by means of discrete choice modelling. Revista De La Escuela De Perfeccionamiento En Investigación Operativa, 22(35), 167–185. Recuperado a partir de https://revistas.unc.edu.ar/index.php/epio/article/view/20271

Número

Vol. 22 Núm. 35 (2014): Mayo

Sección

Aplicaciones

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