Identification and Weighting of Factors Influencing Green Tourism Resilience to Environmental Crises

Environmental crises have increasingly exposed the vulnerability of tourism systems, highlighting the need to strengthen resilience, particularly within the context of green tourism. This study aims to identify and weight the key factors influencing green tourism resilience to environmental crises using a structured multi-criteria decision-making approach. To achieve this objective, a comprehensive review of the literature was conducted to extract the main dimensions and sub-dimensions of green tourism resilience. The identified factors were then organized into a hierarchical structure and evaluated using the Analytic Hierarchy Process (AHP) based on expert judgments. Data were collected through pairwise comparison questionnaires completed by ۱۵ experts with academic and professional experience in tourism, environmental management, and sustainable development. The results indicate that the ecological dimension is the most influential factor in enhancing green tourism resilience, followed by the social/community and economic dimensions. At the sub-criteria level, habitat condition and biodiversity, pollution and emissions trends, and community and stakeholder participation were identified as the highest priorities. Institutional-managerial and technological factors play supportive but complementary roles in strengthening adaptive capacity. The findings underscore that green tourism resilience is a multidimensional and integrated process that depends primarily on ecological integrity, social capacity, and economic adaptability. The proposed AHP-based prioritization framework provides a systematic and evidence-based tool to support policymakers and destination managers in designing targeted strategies for resilient and sustainable green tourism development in the face of environmental crises.

کلیدواژه ها:

Green Tourism Resilience ، Environmental Crises ، Sustainable Tourism ، Analytic Hierarchy Process (AHP) ، Multi-Criteria Decision Making ، Tourism Planning