Objective: The present study aims to model and prioritize the influential components of the metaverse on the three dimensions of geography, including physical, human, and political geography.

Method: The research was conducted using a mixed-methods approach (qualitative–quantitative). First, content analysis was applied to 15 key articles, followed by the application of the DEMATEL and Interpretive Structural Modeling (ISM) techniques based on the opinions of 12 geography experts.

Findings: In total, 14 influential components were identified. Based on ISM level classification, five levels ranging from the most foundational to the most superficial components were extracted. The fifth level (foundation level) consisted of bureaucracy reduction. The fourth level included access to global data, urban planning, and renting and selling. The third level comprised climate planning and access to education. The second level included citizen services, diverse job opportunities, and enhanced telecommunication facilities. The first level (most influenced level) included online shopping, reduction of income gaps, online trade, special services, and increased social experiences. MICMAC analysis also classified bureaucracy reduction and renting and selling as independent variables, urban planning and citizen services as linkage variables, and online shopping and online trade as dependent variables.

Conclusion: The metaverse transforms the geographical structure of space and place through bureaucracy reduction as the main driving force, as well as through enhanced telecommunication facilities, access to global data, urban planning, and the redefinition of renting and selling systems.