Research on the Global Green Market Based on Big Data

Cities are currently under various challenges such as the urbanization, environmental deterioration, climate change and human welling. To address such challenges, there is a strong need and awareness of implementing green products, projects and practices in cities. However, there is a gap between people’s perception, awareness and acceptable and decisions on green promotion. To achieve performance-based planning, therefore, this study used big data to analyze the global green market for appropriate decision on green promotion and implementation. In particular, using the big data provided by the Google Trends, this paper analyzed the temporal and spatial trends of green concepts in terms of green roof, green wall, energy saving and green city. The results indicate that green city was the most popular green concept in green market. Whilst national interest could provide stakeholders with the overall information about the green markets, stakeholders should also consider the city-level interest according to the local characteristics. Overall, this study provides a reference of using big data to generate data-driven decisions for performance-based planning.