Green Fuzzy Tourist Trip Design Problem

The shift from mass tourism to more personalized travel denotes great importance in the construction of tourist itineraries. Giventhe negative impacts of transport and tourism on the environment, sustainability criteria play an important role. The Tourist TripDesign Problem is related to the design...

Full description

Autores:
Jose Ruiz-Meza
Julio Brito
Jairo R. Montoya-Torres
Ana Castro-Vergara
Tipo de recurso:
Article of investigation
Fecha de publicación:
2022
Institución:
Corporación Universitaria del Caribe - CECAR
Repositorio:
Repositorio Digital CECAR
Idioma:
eng
OAI Identifier:
oai:repositorio.cecar.edu.co:cecar/10327
Acceso en línea:
https://repositorio.cecar.edu.co/handle/cecar/10327
Palabra clave:
620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería
N/A
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-nd/4.0/
Description
Summary:The shift from mass tourism to more personalized travel denotes great importance in the construction of tourist itineraries. Giventhe negative impacts of transport and tourism on the environment, sustainability criteria play an important role. The Tourist TripDesign Problem is related to the design of itineraries for tourists. Planning is complex in tourist regions of developing countrieswhere the information associated with tourist activities is difficult to access, vague, and incomplete. With this information, touristsmust plan their trip, and the conditions and limitations they establish for it are flexible and imprecise. Fuzzy optimization canaddress problems with this type of information and constraints. Therefore, in this paper, an analysis of the tourism supply chain iscarried out, taking as a case study the Department of Sucre on Colombia’s Caribbean coast. A Multiconstraint Multimodal TeamOrienteering Problem with Time Windows and fuzzy constraints is developed to model the tourism trip design problem thatmaximizes profit and minimizes CO2 emissions. The model is tested using datasets from the literature and the real world. Theresults demonstrate consistency with the fuzzy approach and generate a set of low-emission solutions.