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dc.contributor.authorGuerrero B, Thomas E; Avogadro, Nicoló; Ramos, Raúl
dc.coverage.spatialLondres-Ámsterdamen_US
dc.date.accessioned2025-04-30T20:15:18Z
dc.date.available2025-04-30T20:15:18Z
dc.date.issued2025-01-20
dc.identifier.issn1755-5345en_US
dc.identifier.urihttps://repositorioinstitucional.ufpso.edu.co/xmlui/handle/20.500.14167/5224
dc.description.abstractLa endogeneidad es un desafío empírico clave en la modelización del transporte, que puede conducir a estimaciones inconsistentes y decisiones políticas sesgadas. Este artículo investiga las fuentes de endogeneidad y se centra en abordar esta cuestión para un modelo de elección discreta que analiza la ruta multimodal Londres-Ámsterdam, donde compiten el transporte aéreo y el tren de alta velocidad (HSR). Contrariamente a la literatura anterior, no encontramos evidencia de endogeneidad en la frecuencia del servicio para el mercado Londres-Ámsterdam. Esto podría atribuirse a características específicas del mercado, como consideraciones de alimentación, dinámica de retención de espacios y la congestión de la red HSR, que limita las oportunidades de expansión de capacidad. Por el contrario, observamos que la tarifa introdujo endogeneidad en el modelo. Para abordar este tema, 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 discutimos el impacto adverso de descuidar la endogeneidad y estimamos las elasticidades precio y frecuencia, demostrando en última instancia la importancia de abordar la endogeneidad para asegurar la confiabilidad de los resultados en los estudios de transporte e informar adecuadamente las decisiones políticas.en_US
dc.language.isoengen_US
dc.relationhttps://www.sciencedirect.com/science/article/pii/S1755534524000691?ref=pdf_download&fr=RR-2&rr=937fe6dd7d8bcdcben_US
dc.titleEnfoque de función de control para abordar la endogeneidad en 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 E Guerrero B [0001150995]en_US
dc.contributor.googlescholarThomas E Guerrero B [wC18M9AAAAAJ]en_US
dc.contributor.orcidThomas E Guerrero B [0000-0003-3690-256X]en_US
dc.contributor.orcidNicoló Avogadro [https://orcid.org/0000-0002-6523-5041]en_US
dc.contributor.orcidRaúl Ramos [https://orcid.org/0000-0003-0463-576X]en_US
dc.contributor.researchgateThomas E Guerrero B [Thomas-Guerrero-6]en_US
dc.contributor.scopusThomas E Guerrero B [56398575500]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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