n recent years, big data has been extensively applied in urban planning and design area. However, its wider application is constrained by the data acquisition approach. Accordingly, many efforts have been made to accurately find and solve urban problems by mining legal open source internet data, which gradually becomes a hot topic among urban researchers. In this context, this study applies the Gaode OPEN API in the urban real-time traffic circle construction and fire-fighting facility planning

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... evaluation taking Nanjing as example. First, a batch processing model is established on the basis of Gaode OPEN API, including automatic acquisition of real-time traffic data in the study area and extraction of average vehicle speed of all the roads during specified time period. It found that speed involves division of the whole Nanjing City into several characteristic zones. Then, a case study is conducted to construct the urban real-time traffic circle through python language and Arcgis software based on existing fire-fighting facilities. In the end, through a subsequent evaluation, it is found that the existing fire-fighting facility planning has a stark regional difference between urban central area and suburban area, which shows a low coverage rate of 22% and 39% for respond time of 6min and 8min respectively. This study provides an integrated approach for acquisition and processing of Gaode data, mining of its space-time features, and application in the planning evaluation practice. This approach demonstrates the advantages of streaming features and distributed processing of big data, effectively utilizes the real-time characteristics of big data in the emergency facility planning, and is expected to broaden ideas for data acquisition.