GeoDesign and Geospatial Artificial Intelligence (GeoAI) were to analyze human and elephant interactions in Victoria Falls, Zimbabwe. GPS movement data from 22 male elephants were used to identify their preferred habitat during the 2020 wet season. Human land use for urban development and subsistence agriculture was and input to the Land-Use Conflict Identification Strategy (LUCIS) model. The study found 62% of the study area had moderate-intensity elephant-urban conflict. Although low conflict between elephant habitat and agriculture and between agriculture and urban land uses in 88% of the study area, high conflict was predicted in the city and agricultural fields. Combining the three suitability models resulted in 47% of the study area likely to experience low conflict for elephant, urban, and agricultural land uses, 46% moderate and 4.5% high conflict in the wet season. These findings can inform public policy to support local planning towards reducing human-elephant conflict in Victoria Falls.
