Shared bicycle travel environment parameter threshold detection method, system and device and medium
A technology of shared bicycles and environmental parameters, applied in data processing applications, electronic digital data processing, digital data information retrieval, etc., can solve difficult scientific support, underestimation of the influence of environmental variables on dependent variables, and non-linear relationships without consideration, etc. problem, to achieve the effect of precise support
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Embodiment 1
[0062] This embodiment takes Tianhe District, Guangzhou City as an example, and provides a method for detecting the threshold value of shared bicycle travel environment parameters. Based on multi-source big data and using machine learning algorithms, a random forest model of shared bicycle travel frequency is constructed to explore the impact of the urban built environment. Nonlinear relationship and threshold effect of shared bicycle travel.
[0063] Such as figure 1 As shown, the method for detecting the environmental parameter threshold of shared bicycle travel includes the following steps:
[0064] S1. Data collection and processing.
[0065] Based on the "Mobike" WeChat applet interface, Gaode Map (https: / / www.amap.com / ), OpenStreetMap (https: / / www.openstreetmap.org / ), Tencent Map (https: / / map. qq.com / ) and other open platforms to obtain the first data and the second data in Tianhe District of Guangzhou respectively.
[0066] The first data in this embodiment is compos...
Embodiment 2
[0115] Such as image 3 As shown, the present embodiment provides a system for detecting thresholds of shared bicycle travel environment parameters. 305. Build a random forest unit 306, a training unit 307, and a threshold detection unit 308. The specific functions of each unit are as follows:
[0116] The first acquisition unit 301 is used to acquire first data and second data in the research area, the first data includes POI data, road network and road intersection data, and street view image data, and the second data is shared bicycles travel data;
[0117] Build a grid unit 302, which is used to build an N*N grid in the research area, and build a buffer zone with the geometric center of the grid as the center;
[0118] The first calculation unit 303 is configured to use the grid as a basic unit, calculate the first built environment index of each grid according to the first data, and use the multicollinearity test method to process and obtain the second built environment...
Embodiment 3
[0125] Such as Figure 4 As shown, this embodiment provides a terminal device, the terminal device includes a processor 402 connected through a system bus 401, a memory, an input device 403, a display device 404 and a network interface 405, the processor is used to provide computing and control capabilities , the memory includes a non-volatile storage medium 406 and an internal memory 407, the non-volatile storage medium 406 is stored with an operating system, computer programs and databases, and the internal memory 407 is the operating system and internal memory in the non-volatile storage medium The operation of the computer program provides an environment. When the processor 402 executes the computer program stored in the memory, the method for detecting the threshold value of the shared bicycle travel environment parameter in the above-mentioned embodiment 1 is implemented, as follows:
[0126] Obtain first data and second data in the research area, the first data includes...
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