1. Alizadeh M, Ngah I, Hashim M, Pradhan B. A hybrid analytic network process and artificial neural network (ANP-ANN) model for urban earthquake vulnerability assessment. Remote Sensing 2018; 10(6):975. [
DOI:10.3390/rs10060975]
2. Ayalew, L., Yamagishi, H. The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology, 200565(1-2), 15-31. [
DOI:10.1016/j.geomorph.2004.06.010]
3. Bishop CM. Pattern recognition and machine learning. Springer; 2006.
4. Badiora W, Adedotun SB, Oladimeji ST. Safety and security assessment of tourist destinations: A field study in a Nigerian geopark. Journal of Event Tourism and Hospitality Studies 2022; 2:106-149. [
DOI:10.32890/jeth2022.2.5]
5. Cui A, Fountain J, Espiner S. Communicating natural hazard risks to Chinese visitors: A case study from New Zealand. Frontiers in Sustainable Tourism 2023; 2:1192124. [
DOI:10.3389/frsut.2023.1192124]
6. Dowling, R., & Newsome, D. (Eds.). (2010). Geotourism: The Tourism of Geology and Landscape. Goodfellow Publishers, Oxford. [
DOI:10.23912/978-1-906884-09-3-21]
7. Gorsevski, P. V., Gessler, P. E., Boll, J., Elliot, W. J., & Foltz, R. B. (2006). Spatially and temporally distributed modeling of landslide susceptibility. Geomorphology, 80(3-4), 178-198. [
DOI:10.1016/j.geomorph.2006.02.011 https://doi.org/10.1016/j.geomorph.2006.02.011]
8. Grekousis G. Artificial neural networks and deep learning in urban geography: A systematic review and meta-analysis. Computers, Environment and Urban Systems 2019; 74:244-56. [
DOI:10.1016/j.compenvurbsys.2018.10.008]
9. Haykin S. Neural networks: A comprehensive foundation. 2nd ed. Prentice Hall; 1999.
10. Herlinawati, Setiawan IF, Rohaendi N, Wahyudi. Safety assessment for geotourism in Ciletuh-Palabuhanratu UNESCO Global Geopark, West Java. IOP Conference Series: Earth and Environmental Science 2025; 1451(1):012045. [
DOI:10.1088/1755-1315/1451/1/012045]
11. Ilieş DC, Dehoorne O, Ilieş A. Some examples of natural hazards affecting geosites and tourist activities. GeoJournal of Tourism and Geosites 2011; 7(1):33-38.
12. Muoneke N. Safety and security concerns in Nigeria's tourism sector: The issue of geotourism destinations. International Journal of Management and Business Research 2024; 16(3[I]). [
DOI:10.22610/imbr.v16i3(I).4014]
13. Newsome D, Dowling R. Geoheritage and geotourism. In: Geoheritage (2nd ed.): Assessment, protection, and management. Elsevier; 2025:479-502. [
DOI:10.1016/B978-0-443-28997-2.00029-7]
14. Pourghasemi HR, Pradhan B, Gokceoglu C. Application of fuzzy logic and artificial neural networks for landslide susceptibility assessment. Catena 2012; 92:1-14.
15. Pradhan B, Lee S. Landslide risk analysis using artificial neural network model focusing on different training sites. Environmental Geology 2009; 57(2):337-349.
16. Pradhan B, Lee S. Landslide susceptibility assessment using artificial neural networks and GIS techniques. Natural Hazards 2010; 54(3):721-749.
17. Rosselló J, Becken S, Santana-Gallego M. The effects of natural disasters on international tourism: A global analysis. Tourism Management 2020; 79:104080. [
DOI:10.1016/j.tourman.2020.104080]
18. Ruban, D. A. (2015). Geosite risk and geotourism safety: A conceptual approach. Tourism Management Perspectives, 15, 97-104. [
DOI:10.1016/j.tmp.2015.03.005]
19. Saadatyfar R, Zanganehasadi MA, Golimokhtari L. Evaluation of tourism land capabilities in the southwest of Binalood Mountain, Khorasan Razavi. Geographical Engineering of Territory 2022; 6(4):945-962.
20. Sagintayev Z, Atanov S, Gafurov A. Overview of modelling techniques for geo hazard risk assessment. Central Asian Journal of Water Research 2017; 3(1):35-42.
21. Salazar J, Hritz N. Measuring the impacts of a natural disaster on visitor confidence. Tourism Planning & Development 2021; 21(3):354-362. [
DOI:10.1080/21568316.2021.1953120]
22. Setiawan P, Jaya AF. Geotourism hazards and carrying capacity in geosites of Sangkulirang-Mangkalihat Karst, Indonesia. Sustainability 2022; 14(3):1704. [
DOI:10.3390/su14031704]
23. Shan Y, Zhang R. Study on the allocation of a rescue base in the Arctic. Symmetry 2019; 11(9):1073. [
DOI:10.3390/sym11091073]
24. Štrba Ľ, Bodzáš Palgutová S, Derco J, Kršák B, Sidor C. The geotourism product-what it is and what it is not. Geosciences 2025; 15(7):270. [
DOI:10.3390/geosciences15070270]
25. Sunkar A, Lakspriyanti AP, Haryono E, Brahmi M, Setiawan P, Jaya AF. Geotourism hazards and carrying capacity in geosites of Sangkulirang-Mangkalihat Karst, Indonesia. Sustainability 2022; 14(3):1704. [
DOI:10.3390/su14031704]
26. Tien Bui D, Pradhan B, Lofman O, Revhaug I. Landslide susceptibility mapping using support vector machines, decision trees, and neural networks. Geomorphology 2016; 253:55-67.
27. Zanganehasadi MA, Saadatifar R, Golimokhtari L. Effects of geomorphosites in mountainous area on tourism development (Northwest of Neishabour-Firoozeh City). Geographical Studies of Mountainous Areas 2020; 1(4):69-87.