Research Article
Tourism Demand Forecasting Based on Grey Model and BP Neural Network
| ā | Year | Highway mileage | Number of people served | Per capita disposable | Tourism income | Forecast results | Number of tourists |
| Training sample | 2010 | 116.81 | 169.91 | 4394 | 1476.8 | 6.32 | 6.33 | 2011 | 119.69 | 180.38 | 4849.8 | 1649.5 | 6.21 | 6.51 | 2012 | 123.75 | 185.43 | 5261.4 | 2123.8 | 6.64 | 6.45 | 2013 | 128.96 | 189.7 | 5426.2 | 2492.3 | 6.81 | 6.96 | 2014 | 135.28 | 193.16 | 5865 | 2842.8 | 8.15 | 8.28 | 2015 | 141.38 | 199.34 | 6281.2 | 3186.6 | 7.39 | 7.45 | 2016 | 170.92 | 212.76 | 6860.2 | 3523.5 | 8.25 | 7.95 | 2017 | 177.63 | 210.69 | 7713.9 | 3889.5 | 8.82 | 8.89 | 2018 | 181.89 | 217.16 | 8573.3 | 3453.4 | 9.76 | 9.94 | 2019 | 188.18 | 238.36 | 9522.7 | 4721.8 | 12.39 | 12.13 | 2020 | 345.63 | 245.48 | 11842.5 | 5386.9 | 13.52 | 13.85 |
| Test sample | 1 | 374.13 | 251.98 | 15781.9 | 8750.4 | 18.45 | 18.23 | 2 | 387.19 | 259.68 | 17185.8 | 10194.7 | 19.27 | 19.13 | 3 | 400.93 | 264.43 | 19218.5 | 12580.9 | 18.78 | 21.14 |
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