Applications of heuristic and logistic regression methods in landslide hazard assessment in wahig-inabanga Watershed, Bohol, Philippines

Tomas D. Reyes, Jr. Nathaniel C. Bantayan, Diomedes A. Racelis, Teodoro R. Villanueva and Leonardo M. Florece

The study aimed at determining which of the two landslide hazard assessment methods, heuristic and logistic regression is more appropriate in predicting landslide prone areas in Wahig-Inabanga Watershed, Bohol. Comparison was performed by computing the predictive power of each method based on the frequency distribution of past landslide events. Findings revealed that the combined bivariate statistical analysis and logistic regression method outdone heuristic method in predicting landslide occurrences. Results indicated high prediction accuracy on logistic regression method greater than the 75% threshold level set for evaluation on both pooled moderate to very high hazard zone and the combined high and very high hazard zone with accuracy values of about 83.82% and76.72%, respectively. Conversely, the heuristic method failed to meet the accuracy threshold. The study, then, showed that logistic regression method, though relatively difficult to implement, can be a better substitute to heuristic method as decision-support tool for watershed management and land use planning in relation to landslide risk mitigation, reduction, adaptation and management.

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   Vol. 07, Issue 02, February 2017



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