The increasing popularity of the Masai Mara reserve, coupled with the end of the global coronavirus pandemic, has intensified conflicts between tourists and wildlife, as well as water scarcity issues. This paper employs the Pareto optimal principle and uses the Cobb-Douglas production function to measure the economic benefits of water resources, taking precipitation into account, and categorizing water demand into three parts: hotel water, residential water, and water evaporation. A multi-objective programming model is established to allocate residential and hotel water in a rational manner, thereby maximizing the economic benefits of water resources. To address conflicts between tourists and wildlife, this paper proposes using hotels to replace the range of tourist activities. The Masai Mara region is rasterized based on longitude and latitude, and update rules for cellular automata are set using MISD (micro land supply distribution). By iterating cellular automata, the change in human activity range can be determined, and the degree of coincidence between human activity areas and wildlife can be used to assess the probability of conflicts between humans and wild animals.