An Urban Intelligence Service for the impact of urbanization on National Park

Abstract

Yangmingshan National Park occupies half of Taipei's area in Taiwan. However, due to urbanization, many problems have arisen, including transportation, housing, food, shopping, development management, and ecological protection. Among them, the transportation problem is the key issue. To analyze the transportation problem, we construct the graph analytical model to present the logical meaning of the traffic/tourist distribution in time and space and to reflect the traffic functionality of each tourist attraction area. Based on this model, we can deploy it on the cloud as an intelligence analysis service to explore the recreation function of the national park area by analyzing the flows of tourism and traffic with open data. Enabling urban intelligence with big data and AI, sustainable improvement of people's lives, city operation systems, and the environment can be achieved. We hope the introduction of urban intelligence service benefits the development of Yangmingshan National Park, effectively solving the problems of traffic congestion, environmental degradation, and cumbersome planning dilemma.