ZHANG Hailin

　　Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou Guangdong 510060, China

　　【Abstract】The Baidu heat map provides the open-source data on Internet, which can dynamically display the char-acteristics of urban population aggregation. Utilizing such open-source information effectively reduces the cost of data analysis and make up for the lack of timeliness and dynamics of traditional population data in transportation planning and design. This paper proposes a method of extracting active population data through the Baidu heat maps to construct a population aggregation reclassification function that can be used to calculate the total number of activities of the population in the grid defined by scope of research, which leads to the key activity points. The pa-rameters’ sensitivity analysis reveals that the grid size affects the data resolution, while the map zooming level af-fects the total number of population activities. The results of a comparative analysis with Guangzhou Ring Expressway demonstrate the suitability of this method for horizontal comparative study of planning and design. Fi-nally, taking the Riverside Avenue landscape belt in Guangzhou as an example, this paper applies the data to the public parking lot planning and site selection.

　　【Keywords】 planning and design; Internet big data; Baidu heat map; active population data;map zooming level

　　【DOI】 10.13813/j.cn11-5141/u.2021.0306-en