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Research on Cooperative Resource Management of Rural Tourism Attractions Combining Multi-objective Optimization and Data Mining

  
21 mar 2025

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Figure 1.

Calculation flow chart of NSGA-II algorithm
Calculation flow chart of NSGA-II algorithm

Figure 2.

Operation diagram of the refined retention policy
Operation diagram of the refined retention policy

Figure 3.

The system dynamics simulation model of tourism environment carrying potential
The system dynamics simulation model of tourism environment carrying potential

Figure 4.

Simulation of multi-objective optimization solution in tourist peak season
Simulation of multi-objective optimization solution in tourist peak season

Figure 5.

Multi-objective optimization non-dominated solution in tourist peak season
Multi-objective optimization non-dominated solution in tourist peak season

Figure 6.

Simulation of multi-objective optimization solution in tourist shoulder season
Simulation of multi-objective optimization solution in tourist shoulder season

Figure 7.

Non-dominated solution simulation in tourist shoulder season
Non-dominated solution simulation in tourist shoulder season

Figure 8.

Simulation of multi-objective optimization solution in tourist off-season
Simulation of multi-objective optimization solution in tourist off-season

Figure 9.

Non-dominated solution simulation in tourist off-season
Non-dominated solution simulation in tourist off-season

Simulation value of resource carrying potential of A rural tourism scenic spots

Index Weight The actual value of 2023 The predicted value of 2030
H1 0.08041 13.22 15.40
H2 0.05804 19.07 19.16
H3 0.06599 12 19
H4 0.07394 1.50 1.63
H5 0.0573 1.47 1.43
H6 0.06617 424.97 431.49
H7 0.06229 92.25 95.10
H8 0.08466 17 21
H9 0.06728 45 49
H10 0.06303 4776 8005
H11 0.05305 4055 4702
H12 0.09797 6.79 8.28
H13 0.10166 0.63 0.74
H14 0.06821 347 456

Non-dominant solution in tourist off-season

x1 x2 x3 Z1 Z2 Z3
16.285 2.145 1.336 60.863 2.909 19.766
9.185 2.564 1.218 34.430 2.543 12.967
2.277 2.709 1.140 8.809 2.390 6.125
15.455 2.488 1.138 59.458 2.327 19.081
8.799 2.503 1.069 30.454 2.612 12.371
11.327 2.647 1.122 45.334 4.087 15.096
9.399 2.703 1.053 34.987 1.187 13.155
11.304 2.346 1.280 43.009 1.206 14.930
1.195 2.125 1.094 5.471 1.401 4.413
21.731 2.534 1.184 81.371 4.326 25.449
31.625 2.337 1.366 117.720 3.192 35.327
38.648 2.276 1.223 146.210 2.794 42.147
35.449 2.542 0.978 129.810 3.757 38.969
15.584 2.716 1.272 57.734 1.355 19.572
32.358 2.325 1.197 116.910 0.487 35.880
6.047 2.254 1.141 21.488 1.364 9.443
4.190 2.052 1.269 14.901 2.801 7.512
28.283 2.551 1.329 106.850 0.764 32.163
7.245 2.168 1.265 26.944 0.648 10.678
42.726 2.353 1.085 156.570 3.876 46.164

Tourism statistics of A rural tourist attractions in 2014-2023

Year Number of domestic tourists (10,000 people) Number of overseas tourist (10,000 people) Total tourism revenue (million yuan) Tourism foreign exchange earnings (USD 10,000)
2014 14.79 0.20 9.52 115.95
2015 11.93 0.21 8.21 101.76
2016 16.46 0.23 13.24 119.96
2017 18.63 0.25 15.13 136.93
2018 20.96 0.26 17.45 150.29
2019 23.04 0.27 19.22 168.66
2020 25.62 0.31 25.17 179.63
2021 28.25 0.28 29.08 146.42
2022 33.68 0.27 34.29 179.71
2023 42.09 0.29 49.73 209.93

Non-dominant solution of multi-objective optimization in tourist peak season

x1 x2 x3 Z1 Z2 Z3
5.86 2.337 1.204 21.582 1.319 9.401
31.132 2.09 1.186 27.483 3.922 34.408
21.723 2.508 1.198 77.668 1.194 25.429
14.872 2.478 1.108 54.799 1.544 18.458
5.982 2.403 1.182 21.757 3.108 9.567
32.699 2.464 1.198 118.540 3.288 36.361
43.741 2.48 1.168 159.400 3.743 47.389
41.239 2.385 1.182 153.620 1.281 44.806
28.656 2.448 1.173 105.020 1.200 32.277
5.867 2.485 1.058 21.585 3.235 9.410
41.908 2.41 1.160 156.030 3.003 45.478
35.869 2.499 1.098 132.460 3.501 39.466
20.078 2.509 1.026 75.232 2.090 23.613
28.803 2.485 1.182 104.220 0.660 32.470
41.654 2.411 1.159 155.010 3.443 45.224
20.303 2.445 1.160 74.594 3.041 23.908
9.013 2.361 1.113 12.190 3.394 12.487
38.598 2.498 1.154 140.460 3.493 42.250
34.863 2.435 1.206 127.160 2.412 38.504
18.48 2.413 1.155 68.578 3.332 22.048

Non-dominant solution in tourist shoulder season

x1 x2 x3 Z1 Z2 Z3
28.604 2.483 1.083 106.460 3.914 32.170
37.717 2.505 1.170 136.350 1.446 41.392
7.525 2.494 1.142 27.119 4.007 11.161
10.135 2.496 1.166 3.228 4.086 13.797
5.001 2.269 1.043 1.497 3.875 8.312
27.911 2.402 1.184 103.260 3.094 31.497
5.383 2.406 1.183 19.505 2.069 8.972
27.588 2.402 1.171 102.450 2.723 31.161
33.408 2.489 1.177 120.990 1.474 37.074
11.610 2.440 1.106 43.145 3.177 15.157
31.853 2.410 1.187 117.590 3.846 35.450
22.857 2.467 1.176 7.365 3.523 26.501
2.143 2.462 1.084 85.442 3.309 5.689
6.319 2.460 1.113 23.097 3.468 9.891
5.073 2.456 1.121 1.403 1.611 8.649
35.422 2.472 1.122 130.920 3.607 39.016
24.844 2.509 0.978 94.451 1.963 28.332
37.712 2.365 1.166 141.890 3.336 41.243
4.927 2.466 1.110 17.896 4.180 8.503
35.339 2.441 1.153 130.590 3.569 38.933
Język:
Angielski
Częstotliwość wydawania:
1 razy w roku
Dziedziny czasopisma:
Nauki biologiczne, Nauki biologiczne, inne, Matematyka, Matematyka stosowana, Matematyka ogólna, Fizyka, Fizyka, inne