Claudia Helena Muñoz Hoyos

Las percepciones de seguridad y comodidad relacionadas con viajar en bus o en avión pueden afectar las decisiones de elección de los pasajeros en viajes domésticos. En este artículo se incorporaron las variables latentes seguridad y comodidad dentro de los modelos econométricos para estudiar la elección del modo de transporte para pasajeros que viajan en el trayecto Medellín-Barranquilla. En el modelo calibrado se incluyeron variables asociadas al modo de transporte, como el costo, el tiempo de viaje y las frecuencias, además de las variables de percepción. El modelo de elección discreta con variables latentes (VLs) se estimó secuencialmente: en primer lugar, se obtuvieron los parámetros del modelo de múltiples indicadores múltiples causas (MIMIC) y —posteriormente— se calibró el modelo híbrido de elección. El modelo calibrado permitió identificar las variables que inciden en la elección del modo de transporte aéreo o terrestre. Los resultados obtenidos son una herramienta eficaz en la toma de decisiones para las empresas que operan en cada uno de los modos.

This paper proposes a new scale for assessing traveler experience in air travel. Here, passenger experience is measured through travelers' perception of service quality, considering it as a chain of services. The new scale is called air travel service quality (ATSQ). It considers three service quality stages: departure airport service, airline service, and arrival airport service. This paper applies the ATRS scale to examine service quality in domestic travels in a Colombian context. Given that traveler’s experience plays a crucial role in determining passenger’s satisfaction, a structural equation model (SEM) was applied to examine the relationship between service quality stages, customer satisfaction, and behavioral intentions. Adding the passengers' perception of the arrival airport to the integrated service quality measurement is considering one of the main contributions of this study. The finding of this research confirmed that all three stages of air travel service have a significant, positive effect on passenger satisfaction. The scale found in this research should provide useful information for developing effective operational and marketing strategies for the air travel market. In this way, airports and airlines could better understand how traveler’s perception of service quality may affect each choice related to which departure airport, airline, and arrival airport combination to choose from.

Purpose: This study aims to analyze travel choices made by air transportation users in multi airport regions because it is a crucial component when planning passenger redistribution policies. The purpose of this study is to find a utility function which makes it possible to know the variables that influence users’ choice of the airports on routes to the main cities in the Colombian territory.Design/methodology/approach: This research generates a Multinomial Logit Model (MNL), which is based on the theory of maximizing utility, and it is based on the data obtained on revealed and stated preference surveys applied to users who reside in the metropolitan area of Aburrá Valley (Colombia). This zone is the only one in the Colombian territory which has two neighboring airports for domestic flights. The airports included in the modeling process were Enrique Olaya Herrera (EOH) Airport and José María Córdova (JMC) Airport. Several structure models were tested, and the MNL proved to be the most significant revealing the common variables that affect passenger airport choice include the airfare, the price to travel the airport, and the time to get to the airport.Findings and Originality/value: The airport choice model which was calibrated corresponds to a valid powerful tool used to calculate the probability of each analyzed airport of being chosen for domestic flights in the Colombian territory. This is done bearing in mind specific characteristic of each of the attributes contained in the utility function. In addition, these probabilities will be used to calculate future market shares of the two airports considered in this study, and this will be done generating a support tool for airport and airline marketing policies.

Este artículo presenta los resultados de una encuesta de preferencias declaradas en un experimento de elección discreta, diseñado para obtener una función de utilidad para las dos terminales aeroportuarias que sirven al área metropolitana del Valle de Aburrá en el transporte aéreo de pasajeros. El estudio investiga acerca del comportamiento en la elección del Aeropuerto José María Córdoba (jmc) y Enrique Olaya Herrera (eoh) entre destinos comunes. Cada aeropuerto fue representado en términos del costo del tiquete, costo de llegada a la terminal aeroportuaria y tiempo de viaje al aeropuerto y obtuvieron modelos logit multinomial para cada destino evaluado Medellín-Bogotá y Medellín-Cali.

Most studies about air travel have dealt with individual issues such as fares, delays and other variables inherent in this mode of transportation, as well as why travelers chose the air mode against other modes, but little has been done to model how a traveler chooses an airport between two available options in a big city. Currently a passenger from the city of Medellin - Colombia to some domestic destinations, has the option of traveling by either of the two airports, Jose Maria Cordova (JMC) or Enrique Olaya Herrera (EOH). This research presents the results of a stated preference survey in a discrete choice experiment, and based on this, a model by destination is obtained; for each one of these models multinomial logit and mixed logit were applied, and evaluated, for each model multinomial logit was chosen as the best.