Waheed Ullah Shah

Abstract Artificial intelligence, as an emerging technological science, provides advanced methods for simulating and extending human intelligence. The technological convergence from various domains has been the focus of researcher community for the last few years. This study applies artificial neural network algorithms to examine sustainability indicators at UNESCO-declared heritage destinations in Pakistan.

1 Introduction Sustainable tourism has emerged as one of the fastest-growing sectors in developing economies, playing a pivotal role in accelerating growth, generating employment, and enhancing foreign exchange earnings as observed in several studies (Nhamo et al. 2023; Paramati et al. 2017; Sabir et al. 2020). In low-income Asian countries, the tourism sector is increasingly recognized as a key driver of structural transformation such as land degradation and economic resilience.

Conflicts of Interest The authors declare no conflicts of interest. References , , , and . 2023. “Multifractality and Cross-Correlation Between the Crude Oil and the European and Non-European Stock Markets During the Russia-Ukraine War.” Resources Policy 80: 103134. https://doi.org/10.1016/j.resourpol.2022.103134. , , and . 2021.