Research Article

Demand Forecasting for Rural E-Commerce Logistics: A Gray Prediction Model Based on Weakening Buffer Operator

Table 9

2018–2022 Guangdong Province logistics demand forecast results.

Indicator yearX0 (unit: yuan)X1 (unit: 100 million yuan)X2 (unit: 10 thousand tons)X3 (unit: 10 thousand tons)X4 (unit: 10 thousand tons)X5 (unit: kilometers)

201816089.52469.741208.2610.43397119.01220540.12
201916411.37481.911192.7110.34401621.40221212.95
202016739.64494.401177.3710.24406174.83221887.84
202117074.49507.211162.2210.15410779.88222564.79
202217416.03520.351147.2610.06415437.15223243.81