Personalized Route Planning of Rural Ecotourism Using Mobile Computing and Random Forest Algorithm

Tourism has evolved from a few high-end items to mass market, and it become an integral part of people’s daily lives. Tourist routes connect tourist sources destinations, whether they are group tour or road trip. that designed scientifically rationally can improve satisfaction while also highlighting the unique characteristics various destinations promoting long-term development destinations. Ecotourism is necessary component China’s tourism industry’s development, as well key country’s low-carbon economy. This paper examines some basic problems in rural planning using random forest algorithm proposes strategies methods for its core content order promote ecotourism. route optimization beneficial not only obtaining reasonable meet tourists’ needs but maximizing resource utilization, which environmental protection balanced economic development.