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

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...

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Autores principales: Picasso, Emilio, Escobar, Mariano Bonoli, Harris, Maria Stewart, Peña, Gonzalo, Mermoz, Osvaldo
Formato: Artículo revista
Lenguaje:Inglés
Publicado: Escuela de Perfeccionamiento en Investigación Operativa 2018
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Acceso en línea:https://revistas.unc.edu.ar/index.php/epio/article/view/20271
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spelling I10-R359-article-202712018-06-11T16:36:47Z Demand elasticity estimation for a park & ride facility by means of discrete choice modelling Picasso, Emilio Escobar, Mariano Bonoli Harris, Maria Stewart Peña, Gonzalo Mermoz, Osvaldo discrete choice park and ride demand estimation pricesensitivity elasticity 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. Escuela de Perfeccionamiento en Investigación Operativa 2018-06-11 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unc.edu.ar/index.php/epio/article/view/20271 Revista de la Escuela de Perfeccionamiento en Investigación Operativa; Vol. 22 Núm. 35 (2014): Mayo; 167-185 1853-9777 0329-7322 eng https://revistas.unc.edu.ar/index.php/epio/article/view/20271/19928
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-359
container_title_str Revista de la Escuela de Perfeccionamiento en Investigación Operativa
language Inglés
format Artículo revista
topic discrete choice
park and ride
demand estimation
pricesensitivity
elasticity
spellingShingle discrete choice
park and ride
demand estimation
pricesensitivity
elasticity
Picasso, Emilio
Escobar, Mariano Bonoli
Harris, Maria Stewart
Peña, Gonzalo
Mermoz, Osvaldo
Demand elasticity estimation for a park & ride facility by means of discrete choice modelling
topic_facet discrete choice
park and ride
demand estimation
pricesensitivity
elasticity
author Picasso, Emilio
Escobar, Mariano Bonoli
Harris, Maria Stewart
Peña, Gonzalo
Mermoz, Osvaldo
author_facet Picasso, Emilio
Escobar, Mariano Bonoli
Harris, Maria Stewart
Peña, Gonzalo
Mermoz, Osvaldo
author_sort Picasso, Emilio
title Demand elasticity estimation for a park & ride facility by means of discrete choice modelling
title_short Demand elasticity estimation for a park & ride facility by means of discrete choice modelling
title_full Demand elasticity estimation for a park & ride facility by means of discrete choice modelling
title_fullStr Demand elasticity estimation for a park & ride facility by means of discrete choice modelling
title_full_unstemmed Demand elasticity estimation for a park & ride facility by means of discrete choice modelling
title_sort demand elasticity estimation for a park & ride facility by means of discrete choice modelling
description 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.
publisher Escuela de Perfeccionamiento en Investigación Operativa
publishDate 2018
url https://revistas.unc.edu.ar/index.php/epio/article/view/20271
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AT harrismariastewart demandelasticityestimationforaparkridefacilitybymeansofdiscretechoicemodelling
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first_indexed 2024-09-03T22:23:12Z
last_indexed 2024-09-03T22:23:12Z
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