Prospectiva turística del corregimiento de Puerto Garza del municipio de San Carlos Antioquia
The prospective study of the village Puerto Garza, located in San Carlos (Antioquia), looking to contribute to the social, economic and cultural development of the territory, to create a basic analysis for the design of a Tourism Development Plan, which guides the projects that will be realized in t...
- Autores:
-
Ceballos Oquendo, Carlos Alberto
Tamayo Gómez, Karen Tatiana
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad de San Buenaventura
- Repositorio:
- Repositorio USB
- Idioma:
- spa
- OAI Identifier:
- oai:bibliotecadigital.usb.edu.co:10819/6190
- Acceso en línea:
- http://hdl.handle.net/10819/6190
- Palabra clave:
- Puerto Garza
Desarrollo
Prospectiva
Sostenibilidad
Tourism
Development
Prospective
Sustainability
Turismo
Industria - Antioquia
Desarrollo económico - Antioquia
Municipios - Antioquia
- Rights
- License
- Atribución-NoComercial-SinDerivadas 2.5 Colombia
Summary: | The prospective study of the village Puerto Garza, located in San Carlos (Antioquia), looking to contribute to the social, economic and cultural development of the territory, to create a basic analysis for the design of a Tourism Development Plan, which guides the projects that will be realized in the future years. A prospective study proposes to identify possibles scenarios in the short, medium and longer term, according to the factors of change or important variables that influence the dynamics of the territory, the tourist tendencies, the threats and the future expected by the actors. The variables were selected according to the factors of the Conventional Plan of Tourism (Plan Convencional de Turismo), proposed by the Ministerio de Comercio Industria y Turismo, classifying them by Attraction, Support, Production and Management, and realizing an analysis of the strengths and weaknesses of Puerto Garza and its environment. The stakeholders with major participation and influence were identified, and possible future scenarios were defined through participatory studies. The data collected was valued using the software MIC MAC for the variables, MACTOR for the stakeholders and Smic-Prob-Expert for the possible futures. |
---|