Impact of Land Use/Land Cover Change on Landslide Susceptibility in Rangamati Municipality of Rangamati District, Bangladesh

Landslide susceptibility depends on various causal factors such as geology, land use/land cover (LULC), slope, and elevation. Unlike other that are relatively stable over time, LULC is a dynamic factor associated with human activities. This study evaluates the impact of change landslide in Rangamati municipality district, Bangladesh, based three scenarios—the existing (2018) LULC, proposed (proposed 2010, but not yet implemented), simulated 2028—using artificial neural network (ANN)-based cellular automata. The random forest model was used for mapping. showed good accuracy all scenarios (existing: 82.7%; proposed: 81.4%; 2028: 78.3%) strong positive correlations (>0.8) between different maps. either third or fourth most important these scenarios, suggesting has moderate susceptibility. Future changes will likely increase susceptibility, up to 14.5% increases high zone both scenarios. These findings may help policymakers carry out proper urban planning highlight importance considering planning.