Table 5 All Indicator Values of Logistics Demand Forecast for CC-DEC in China.

From: Logistics demand prediction using fuzzy support vector regression machine based on Adam optimization

YEAR

Y

X1

X2

X3

X4

X5

X6

X7

2005

109564.33

3.02

6.93

1522.90

671.07

469.80

177.99

21.32

2006

117008.00

2.88

6.42

1712.39

859.47

663.26

182.85

26.53

2007

129913.00

3.17

7.10

2028.80

1114.40

802.92

188.07

29.37

2008

178164.00

3.23

7.19

2999.43

1355.55

1154.27

196.91

33.26

2009

186585.00

3.27

7.27

3170.30

1739.84

2067.20

205.19

36.00

2010

214748.99

3.16

6.98

3720.32

247.50

2563.90

204.17

38.29

2011

250608.85

2.70

6.04

4439.65

849.34

2974.92

205.89

40.16

2012

260848.57

2.82

6.29

4901.64

970.59

3511.96

192.10

41.37

2013

276725.66

2.35

5.42

4730.26

1100.09

4020.26

195.57

42.48

2014

254989.67

2.30

5.13

4940.87

1445.19

4514.06

206.21

43.74

2015

257241.22

2.39

5.28

5065.34

1833.45

5133.42

202.94

45.56

2016

267691.73

2.57

5.67

5370.83

2758.13

5955.45

192.19

46.69

2017

286744.14

2.53

5.63

5953.76

2221.33

6573.95

195.97

47.79

2018

313707.71

2.16

4.90

6413.63

5319.93

7333.32

194.47

48.95

2019

288073.98

2.11

4.81

6184.63

8370.56

7971.02

189.90

51.13

2020

291427.83

2.04

4.64

6258.70

11456.13

9178.02

184.83

57.48

2021

288073.98

2.01

4.63

6184.63

5884.82

7971.02

189.90

58.31

YEAR

X8

X9

X10

X11

X12

X13

X14

X15

2005

10644.23

4373.26

4268226.37

18085.85

15514.56

24.00

96.40

79.60

2006

12394.94

5081.60

5463705.16

20228.54

16923.50

12.90

105.40

81.70

2007

15332.82

6043.41

7102296.88

22856.20

18582.30

25.20

105.50

69.30

2008

18655.70

7395.36

8715346.55

25954.42

20825.80

21.60

106.70

71.70

2009

20841.82

8667.61

7685921.99

28341.60

23001.06

18.70

107.90

73.40

2010

25290.04

10403.78

11754479.64

31493.07

25440.02

17.00

116.90

66.10

2011

31212.04

12667.59

23651156.10

36415.80

28670.49

16.10

105.00

78.90

2012

35517.78

14747.53

39498587.84

41309.61

31622.68

16.00

103.80

80.20

2013

39545.62

16922.79

49024196.20

45426.22

33467.00

14.90

97.20

87.90

2014

43515.11

19116.77

65285987.00

49381.64

36039.00

14.70

101.40

83.90

2015

46382.55

21501.99

53200178.37

53444.10

39019.00

14.70

93.40

91.90

2016

51161.52

24248.09

48520158.44

57944.96

41691.00

14.70

88.10

97.20

2017

57971.43

27173.84

51870886.27

62920.10

44750.00

13.90

83.60

102.50

2018

64490.90

30045.99

62467590.78

68105.30

47638.00

14.70

60.00

125.30

2019

69969.52

32974.65

67565706.16

74092.32

51152.00

13.80

82.40

103.80

2020

73640.19

32612.07

76647750.05

78259.33

51597.17

18.30

91.40

90.30

2021

69969.52

32974.65

67565706.16

74092.32

51152.00

13.80

82.40

103.80

  1. The indicators of logistics energy intensity(\({X}_{1})\) and logistics CO2 emission(\({X}_{2})\) in the table are computed using the energy consumption figures of the logistics industry sourced from the China Energy Statistical Yearbook, while the data for other indicators are sourced from the China Statistical Yearbook, Sichuan Statistical Yearbook, and Chongqing Statistical Yearbook.