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Volume 41, Issue 1 (2026)
GeoRes 2026, 41(1): 1-10 |
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Received: 2026/02/19 | Accepted: 2026/04/4 | Published: 2026/04/30
Received: 2026/02/19 | Accepted: 2026/04/4 | Published: 2026/04/30
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Nabati Shahrezaei F, Saberi H, Khademolhosseiny A, Ghandomkar A. Smart Tourism Planning for Isfahan Metropolis Using Futures Studies Method. GeoRes 2026; 41 (1) :1-10
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1- Department of Geography, Najafabad Campus (Na.C.), Islamic Azad University, Najafabad, Iran
2- Tourism Research Center, Najafabad Campus (Na.C.), Islamic Azad University, Najafabad, Iran
2- Tourism Research Center, Najafabad Campus (Na.C.), Islamic Azad University, Najafabad, Iran
Abstract (3389 Views)
Aims: The purpose of this research was to develop smart tourism development scenarios in the Isfahan metropolis.
Methodology: The present prospective study was conducted in the Isfahan metropolis in 2025 using a mixed quantitative and qualitative approach, and 15 experts in tourism, world tourism, and urban planning were purposively selected. The data were examined by scoring in the descriptors' forward states matrix and analyzed in the MicMac and Scenario Wizard software.
Findings: Factors affecting smart tourism in the Isfahan metropolis were identified as 35 sub-indices, 15 indicators, and 6 dimensions. 10 influential and bimodal sub-indices (tourism websites, platforms, and applications; availability of high-speed internet; investment and planning in financing smart tourism projects; support for smart tourism businesses; training tourists to benefit from the benefits of smart tourism; sharing tourists' experiences through photos, selfies, videos, and text on social media; sharing the local community's personal experiences of visiting lesser-known places; geolocation or GPS through applications, programs, and smart mobile phones; training skilled human resources to provide smart tourism services; advertising on virtual social networks and sites) were identified.
Conclusion: Three scenarios with the highest potential for developing smart tourism in Isfahan were identified. The first scenario represents the optimal and progressive state of the smart tourism system, showing the best conditions across key performance indicators. The second scenario describes an average state with relatively favorable conditions, while the third scenario represents a critical and challenging situation for the future of smart tourism in Isfahan.
Methodology: The present prospective study was conducted in the Isfahan metropolis in 2025 using a mixed quantitative and qualitative approach, and 15 experts in tourism, world tourism, and urban planning were purposively selected. The data were examined by scoring in the descriptors' forward states matrix and analyzed in the MicMac and Scenario Wizard software.
Findings: Factors affecting smart tourism in the Isfahan metropolis were identified as 35 sub-indices, 15 indicators, and 6 dimensions. 10 influential and bimodal sub-indices (tourism websites, platforms, and applications; availability of high-speed internet; investment and planning in financing smart tourism projects; support for smart tourism businesses; training tourists to benefit from the benefits of smart tourism; sharing tourists' experiences through photos, selfies, videos, and text on social media; sharing the local community's personal experiences of visiting lesser-known places; geolocation or GPS through applications, programs, and smart mobile phones; training skilled human resources to provide smart tourism services; advertising on virtual social networks and sites) were identified.
Conclusion: Three scenarios with the highest potential for developing smart tourism in Isfahan were identified. The first scenario represents the optimal and progressive state of the smart tourism system, showing the best conditions across key performance indicators. The second scenario describes an average state with relatively favorable conditions, while the third scenario represents a critical and challenging situation for the future of smart tourism in Isfahan.
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