From smart facilities to smart services: building a new ecosystem integrating tourism and smart cities

The lack of integration between the tourism industry and smart cities affects the tourist experience and the efficiency of urban management.This paper collects data on tourist behaviour and urban operations through IoT sensors and mobile internet data.It uses support vector machines and random forest algorithms to perform demand forecasting and behaviour analysis.Then, convolutional neural networks and long short-term memory networks are used to optimise personalised service recommendations for tourists and to schedule urban resources.The experimental results show that average tourist satisfaction has increased by 8 points, and the average urban management response time has been reduced by 102 seconds.Through this intelligent, collaborative approach, this paper has achieved deep integration between tourism and smart cities, providing a feasible solution for future smart city development.