Modelos de generación de viajes motivo estudio: caso Universidad de la Costa

In the present work, generation models were estimated for travel study reasons of the University of the coast. The data used was obtained from a source-destination survey carried out for university students. Generation models were estimated using at least three methods: Multiple Linear Regression (RLM), category analysis (AC) and Ordinal Logit (LO). According to the results, the models (LO) showed greater econometric consistency and better indicators of goodness of fit. The models used are key for strategic planning in terms of mobility for the university of the coast. The generation of trips is a process that allows to relate the activities of the population with the trips that are made, the latter are intimately linked to the socioeconomic characteristics of the population, this relationship can be estimated through generation models used in the present draft. The average travel rates obtained with the travel models by categories and Ordinal Logit were analyzed, as well as models were generated by the Multiple Linear Regression method and the models obtained through the different statistical tests were evaluated to select the most reliable.

• Autores: Gómez Gómez, Aixa Liliana; Medina Romero, Jorge Alberto
• Tipo de recurso: Trabajo de grado de pregrado
• Fecha de publicación: 2018
• Institución: Corporación Universidad de la Costa
• Repositorio: REDICUC - Repositorio CUC
• Idioma: spa
• OAI Identifier: oai:repositorio.cuc.edu.co:11323/1975
• Acceso en línea: https://hdl.handle.net/11323/1975; https://repositorio.cuc.edu.co/
• Palabra clave: Generación de viajes; Análisis por categorías; Análisis de clasificación lineal múltiple; Regresión lineal múltiple; Logit ordinal; Trip generation; Analysis by categories; Multiple linear classification analysis; Multiple linear regression; Ordinal logit
• Rights: openAccess
• License: Atribución – No comercial – Compartir igual