Top-level Design and Application of Transportation and Tourism Big Data System for High-altitude Regions

Abstract

In the high-altitude regions of Northwest China, where the levels of transportation infrastructure and public travel information services are relatively weak, problems like inadequate consistency, accuracy and timeliness of information services, insufficiently rich content, poorly targeted services, unsatisfactory public experience and large high-altitude risks remain in contrast to tourists’ growing travel demands for safe, convenient, efficient and comfortable transportation. This study discusses the key points in designing the top-level technical framework and application of transportation and tourism big data system in China’s typical high-altitude Qinghai regions. Particular focuses are on the convergence, sharing, integration and opening of transportation and tourism data under self-driving tour-based high-altitude conditions, as well as the comprehensive utilization of technical ideas and application models. Meanwhile, the main application scenarios of the system are explored for all levels of governmental sectors, the public and businesses. As the research show, the establishment of the system has positive implications for enhancing the coordination and linkage efficiencies between high-altitude scenic spots and surrounding road networks, achieving the “integrated” transportation-tourism information services characteristic of high-altitude regions, and improving the comprehensive analytical and decision-making capacity for transportation and tourism in these regions. The application system can improve the diversified service experience of public travel dominated by self-driving tours to a remarkable extent.