Landslides cause loss of lives and serious material damage almost every year around the world. In Turkey, risks related to landslides increase due to the combined effects of climate change, deforestation, uncontrolled urbanization and improper land use. Artvin is among the cities where landslides occur most frequently due to its topographical and geological characteristics. In the present study, landslide susceptibility of the Central district of Artvin was evaluated using the frequency ratio (FR) and modified information value (MIV) models. In the study, ten parameters affecting the occurrence of landslides were considered. 70% of the landslide inventories were utilized to create susceptibility maps, and the remaining 30% were utilized for validation. The success and prediction capabilities of the models were assessed using the receiver operating characteristics curve and area under the curve. The success rates of the MIV and FR models were calculated as 88% and 84.9%, respectively, and the prediction rates were computed as 82.7% and 81.9%, correspondingly. The MIV model showed a slightly better performance compared to the FR model in terms of prediction and success rates. It was also determined that most of the village built-up areas, as well as the majority of the planned areas of the Artvin Municipality and majority of the public and private buildings within the municipal boundaries, were located in landslide susceptible zones. Therefore, the outcomes of the present study may assist local administrators, planners, and engineers in reducing the damage caused by landslides and planning the optimal land use.

全世界几乎每年都有山体滑坡造成人员丧生和严重的物质损失。在土耳其，由于气候变化，森林砍伐，不受控制的城市化和土地使用不当的综合影响，与山体滑坡有关的风险增加了。阿尔特温（Artvin）由于其地形和地质特征，是滑坡最常发生的城市之一。在本研究中，使用频率比（FR）和修正信息值（MIV）模型评估了Artvin中心区的滑坡敏感性。在研究中，考虑了影响滑坡发生的十个参数。70％的滑坡清单被用于创建磁化率图，其余30％被用于验证。使用接收器工作特性曲线和曲线下面积评估了模型的成功和预测能力。MIV和FR模型的成功率分别计算为88％和84.9％，预测率分别为82.7％和81.9％。在预测和成功率方面，MIV模型显示出比FR模型更好的性能。还确定，大多数村庄建成区以及阿尔特温市的大部分规划区域以及市政边界内的大多数公共和私人建筑物均位于滑坡易感区。因此，本研究的结果可能会帮助当地行政人员，规划人员，