Method for identifying and predicting bus passenger flow influence factor based on geographically and temporally weighted regression
A technology of geographic weighting and forecasting methods, applied in forecasting, data processing applications, instruments, etc., can solve problems such as poor forecasting accuracy, time change inclusion method, and lost correlation time change information, so as to improve accuracy and image and readability, and the effect of improving the fitting accuracy
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[0054] In order to verify the system performance of a method for identifying and predicting the influencing factors of bus passenger flow based on spatio-temporal geographical weighted regression according to the present invention, the passenger flow of traffic districts in Beijing's Sixth Ring Road in June 2015 was collected for example verification.
[0055] 1) if figure 2 As shown, it is a schematic diagram of the traffic districts within the Sixth Ring Road in Beijing. There are 1377 districts in total, among which there are 1207 traffic districts with bus passenger flow. The case studies the relationship between the hourly passenger flow of the traffic district and the built environment of the district, and the time is selected from 6:00 to 23:00 for a total of 18 hours. The amount of original passenger flow data is 1207×18=21726.
[0056] The built environment data is the basic POI data of Beijing, including 1,355,509 points of interest in Beijing. According to the cl...
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