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Enfoque basado en funciones de control para abordar la endogeneidad en los modelos de transporte: un estudio de caso sobre la ruta Londres-Ámsterdam

dc.contributor.authorGuerrero Barbosa, Thomas Edison
dc.contributor.authorAvogadro, Nicolò
dc.contributor.authorRamos, Raúl
dc.coverage.spatialColombiaen_US
dc.date.accessioned2026-04-21T21:49:27Z
dc.date.available2026-04-21T21:49:27Z
dc.date.issued2025-01-20
dc.identifier.issn1755-5345en_US
dc.identifier.urihttps://repositorioinstitucional.ufpso.edu.co/xmlui/handle/20.500.14167/6219
dc.description.abstractLa endogeneidad constituye un reto empírico clave en la modelización del transporte, ya que puede dar lugar a estimaciones incoherentes y a decisiones políticas sesgadas. Este artículo investiga las fuentes de endogeneidad y se centra en abordar esta cuestión en un modelo de elección discreta que analiza la ruta multimodal Londres-Ámsterdam, en la que compiten el transporte aéreo y el tren de alta velocidad (TAV). Contrariamente a lo que se ha publicado anteriormente, no encontramos evidencia de endogeneidad en la frecuencia del servicio para el mercado Londres-Ámsterdam. Esto podría atribuirse a características específicas del mercado, como las consideraciones de conexión con otras rutas, la dinámica de retención de franjas horarias y la congestión de la red de TAV, que limita las oportunidades de ampliación de la capacidad. Por el contrario, observamos que la tarifa introducía endogeneidad en el modelo. Para abordar esta cuestión, aplicamos el enfoque de la función de control y propusimos dos instrumentos novedosos: la tarifa para mercados similares y el precio de las fuentes de energía. Estos instrumentos demostraron ser eficaces para corregir la endogeneidad al aumentar el rendimiento del modelo. También analizamos el impacto adverso de ignorar la endogeneidad y estimamos las elasticidades de precio y frecuencia, demostrando en última instancia la importancia de abordar la endogeneidad para garantizar la fiabilidad de los resultados en los estudios de transporte y fundamentar adecuadamente las decisiones políticas.en_US
dc.language.isoengen_US
dc.relationhttps://www.sciencedirect.com/science/article/pii/S1755534524000691en_US
dc.titleEnfoque basado en funciones de control para abordar la endogeneidad en los modelos de transporte: un estudio de caso sobre la ruta Londres-Ámsterdamen_US
dc.title.translatedControl Function Approach for Addressing Endogeneity in Transport Models: A Case Study on the London–Amsterdam Routeen_US
dc.contributor.cvlacThomas Edison Guerrero Barbosa [0001150995]en_US
dc.contributor.googlescholarThomas Edison Guerrero Barbosa [wC18M9AAAAAJ]en_US
dc.contributor.googlescholarRaúl Ramos [zdmWky4AAAAJ]en_US
dc.contributor.googlescholarNicolò Avogadro [Fo6gupwAAAAJ]en_US
dc.contributor.orcidThomas Edison Guerrero Barbosa [0000-0003-3690-256X]en_US
dc.contributor.orcidRaúl Ramos [0000-0003-0463-576X]en_US
dc.contributor.researchgateNicolò Avogadro [Nicolo-Avogadro]en_US
dc.contributor.scopusThomas Edison Guerrero Barbosa [56398575500]en_US
dc.contributor.scopusRaúl Ramos [57196479454]en_US
dc.contributor.scopusNicolò Avogadro [57217833134]en_US
dc.description.abstractenglishEndogeneity is a key empirical challenge in transportation modeling, which may lead to inconsistent estimates and biased policy decisions. This paper investigates the sources of endogeneity and focuses on tackling this issue for a discrete choice model analyzing the multimodal London–Amsterdam route, where air transport and high-speed rail (HSR) compete. Contrary to previous literature, we found no evidence of endogeneity in service frequency for the London–Amsterdam market. This could be attributed to market-specific features, such as feeding considerations, slot retention dynamics, and the congestion of the HSR network, which constrains capacity expansion opportunities. Conversely, we observed that fare introduced endogeneity into the model. To address this issue, we applied the control function approach and proposed two novel instruments: the fare for similar markets and the price of power sources. These instruments proved to be effective in correcting for endogeneity by increasing model performance. We also discuss the adverse impact of neglecting endogeneity and estimate price and frequency elasticities, ultimately demonstrating the significance of dealing with endogeneity in ensuring the reliability of results in transportation studies and appropriately informing policy decisions.en_US
dc.subject.proposalEndogeneidaden_US
dc.subject.proposalModelo de elección discretaen_US
dc.subject.proposalFunción de controlen_US
dc.subject.proposalTren de alta velocidaden_US
dc.subject.proposalTransporte aéreoen_US
dc.subject.keywordsEndogeneityen_US
dc.subject.keywordsDiscrete choice modelen_US
dc.subject.keywordsControl Functionen_US
dc.subject.keywordsHigh-speed railen_US
dc.subject.keywordsAir transporten_US
dc.publisher.facultyFacultad ingenieríasen_US
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTen_US
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