A method for predicting potential demand for public bicycles based on big data

Abstract

The present invention relates to a method for predicting the potential demand of public bicycles based on big data, including: obtaining residents' travel attributes according to mobile phone signaling big data; obtaining land attributes according to Internet big data; obtaining PAs of public bicycle rental points according to public bicycle card swiping big data The current situation, and calculate the demand heat; take the public bicycle rental points whose demand heat is lower than the demand threshold as the total sample, take the residents' travel attributes and land attributes as the input parameters of the sample, and take the PA status of the public bicycle rental points as the output parameters of the sample, Combining the AIC criterion and the random forest rule for BP neural network training, the potential demand assessment model of public bicycles is obtained; according to the potential demand assessment model of public bicycles, the bicycle demand prediction value of the public bicycle rental points whose demand heat is higher than the threshold is calculated. Compared with the prior art, the invention has the advantages of accurate analysis results, strong guidance for the layout of public bicycle rental points, and the like.

Description

technical field [0001] The invention relates to the field of big data, in particular to a method for predicting potential demand of public bicycles based on big data. Background technique [0002] The public bicycle rental system, with its advantages of low price, convenience, fitness, energy saving, and environmental protection, can effectively supplement and extend conventional public transport, and has become a public welfare undertaking that many countries and regions around the world are vigorously promoting. Since the 1970s, European countries were the first to launch the public bicycle rental system. So far, more than 50 countries or regions have provided public bicycle rental services for citizens; A typical urban public bicycle rental system suitable for my country's national conditions has been built, and it has quickly triggered follow-up construction in other cities in China. Cycling has gradually become a fashion choice for the general public for short-distance ...

AI Technical Summary

Problems solved by technology

In this way, in the actual use process, there will often be "uneven cold and hot" and "low utilization rate" of the deployed outlets, resulting in waste of investment, serious and even operating losses.

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