As a rapidly developing emerging field, mobile travel services have realized intelligent operation and management under the impetus of big data technology. The application of big data technology in mobile travel services is discussed in detail, including core links such as demand forecasting, path optimization, and dynamic pricing. Aiming at the problems of data privacy and security risks, data islands, insufficient data quality, and algorithm fairness in the application of big data, solutions such as strengthening data protection, establishing a sharing mechanism, and optimizing algorithm design are proposed.