Assessing the Performance of Gradient-Boosting Models for Predicting the Travel Mode Choice Using Household Survey Data-Reference-Cited by-同舟云学术

Assessing the Performance of Gradient-Boosting Models for Predicting the Travel Mode Choice Using Household Survey Data

Published:2022-06 Issue:2 Volume:148 Page:
ISSN:0733-9488
Container-title:Journal of Urban Planning and Development
language:en
Short-container-title:J. Urban Plann. Dev.

Author:

Pineda-Jaramillo Juan¹^ORCID,Arbeláez-Arenas Óscar²^ORCID

Affiliation:

1. Research Associate, Dept. of Engineering, Univ. of Luxembourg, 6 Avenue de la Fonte, Maison du Nombre, office 0435010, 4364 Esch-sur-Alzette, Luxembourg (corresponding author). ORCID: .

2. Ph.D. Candidate, Dept. of Civil Engineering, National Univ. of Colombia, Cr. 80 #65-223—Campus Robledo, Medellín 050034, Colombia. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Urban Studies,Development,Geography, Planning and Development,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29UP.1943-5444.0000830

Reference64 articles.

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3. AMVA (Área Metropolitana del Valle de Aburrá). 2019. Origin-Destination Survey 2017—Data. Colombia: ÁMVA. Accessed May 28, 2020. https://datosabiertos.metropol.gov.co/dataset/encuesta-origen-destino-2017-datos-por-hogares.

4. Ben-Akiva, M., and S. R. Lerman. 1985. Discrete choice analysis: Theory and application to travel demand. Cambridge, MA: MIT Press.

5. Ben-Akiva, M., J. Walker, A. T. Bernardino, D. A. Gopinath, T. Morikawa, and A. Polydoropoulou. 2002. “Integration of choice and latent variable models.” In Perpetual motion: Travel behaviour research opportunities and application challenges, edited by H. S. Mahmassani, 431–470. Amsterdam, Netherlands: Elsevier.

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