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Forecast of Regional Express Volume based on Big Data

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DOI: 10.23977/cii2019.82


Weijie Yuan, Zhenlin Wei

Corresponding Author

Zhenlin Wei


With the development of e-commerce, online shopping has gradually entered thousands of households, and the forecast of regional express delivery can provide a basis for the investment and development of logistics infrastructure in the region. Based on the per-capita express demand, this paper uses the grey system prediction model and the logistics growth model from the short-term and long-term perspectives respectively to obtain the forecast data for the future years, and assign the weight coefficients respectively to obtain the combined forecast values. The combined forecasting value fully considers the trend of the demand for express delivery in the long-term and short-term, and has better accuracy than the single forecasting model.


Online shopping, regional express delivery, grey system prediction model, forecast data

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