Multi-objective optimization technique: A novel approach in tourism sustainability planning

Area of Science:

• Environmental Science
• Economics
• Sociology

Background:

• Strategic management in tourism faces challenges due to multiple stakeholders, conflicting goals, and resource constraints.
• Sustainable tourism requires integrated planning that considers environmental, social, and economic dimensions.

Purpose of the Study:

• To develop and implement a novel approach for public project selection in tourism.
• To maximize the efficiency of public resource allocation in the tourism sector.
• To integrate the three dimensions of sustainability into tourism policy.

Main Methods:

• A Multi-objective Optimization (MOO) model was developed.
• The model incorporates environmental, social, and economic impacts.
• A case study involving an Italian public administration's call for tender was used for testing.

Main Results:

• The proposed MOO model demonstrated superior public fund allocation compared to multicriteria techniques.
• Quantitative improvements in resource allocation were observed.
• Qualitative benefits included the selection of projects with positive social and environmental implications.

Conclusions:

• The MOO model offers a more effective framework for selecting sustainable tourism projects.
• This approach enhances the utility of stakeholders by balancing diverse impacts.
• It provides a robust tool for public administrations aiming for efficient and sustainable tourism development.