Journal of Geographical Sciences ›› 2018, Vol. 28 ›› Issue (10): 1485-1499.doi: 10.1007/s11442-018-1557-y
• Orginal Article • Previous Articles Next Articles
Received:
2018-01-10
Accepted:
2018-03-30
Online:
2018-10-25
Published:
2018-10-25
About author:
Author: Wu Xiangli (1964-), Professor, specialized in urbanization and regional development. E-mail:
Supported by:
Xiangli WU, Shan MAN. Air transportation in China: Temporal and spatial evolution and development forecasts[J].Journal of Geographical Sciences, 2018, 28(10): 1485-1499.
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Table 1
Comparison of the highest, lowest, and average values of airport passenger and cargo throughput and regional air transportation utilization in 2006 and 2015"
Year | Value | Airport throughput (Million standard persons) | Airport throughput per capita | Airport throughput per unit of GDP |
---|---|---|---|---|
2006 | Highest | Shanghai 742.55 | Beijing 3.9 | Hainan 110.38 |
Lowest | Hebei 7.77 | Hebei 0.01 | Hebei 0.68 | |
2015 | Highest | Shanghai 1403.98 | Shanghai 5.81 | Haian 94.03 |
Lowest | Tibet 39.248 | Hebei 0.10 | Hebei 2.47 |
Table 2
Comparison of airport passenger and cargo throughput and regional air transportation utilization rank between China’s provinces"
Province | Airport passenger and cargo throughput rank | Airport throughput per capita rank | Airport throughput per unit of GDP rank |
---|---|---|---|
Shandong | 2 | 3 | 4 |
Jiangsu | 2 | 3 | 4 |
Hainan | 2 | 1 | 1 |
Xinjiang | 3 | 2 | 3 |
Tibet | 4 | 2 | 2 |
Table 3
Correlation analysis of regional air transportation utilization and per capita GDP, urbanization rate, and population density in each province"
Province | Airport passenger and cargo throughput per capita | Airport passenger and cargo throughput per unit of GDP | ||||
---|---|---|---|---|---|---|
GDP per capita | Urbanization rate | Population density | GDP per capita | Urbanization rate | Population density | |
Beijing | 0.964** | 0.972** | 0.986** | -0.982** | -0.905** | -0.948*** |
Tianjin | 0.952** | 0.939** | 0.967** | -0.202 | -0.219 | -0.151 |
Hebei | 0.988** | 0.961** | 0.989** | 0.983** | 0.948** | 0.992** |
Shanxi | 0.970** | 0.994** | 0.946** | 0.542 | 0.690 | 0.531 |
Inner Mongolia | 0.7220* | 0.694* | 0.690** | 0.144 | 0.118 | 0.114 |
Liaoning | 0.998** | 0.989** | 0.939** | -0.975** | -0.952** | -0.961** |
Jilin | 0.974** | 0.945** | 0.903** | 0.015 | 0.408 | -0.067 |
Heilongjiang | 0.952** | 0.972** | -0.021 | 0.757* | 0.850** | -0.256 |
Shanghai | 0.961** | 0.039 | 0.897** | -0.857** | -0.141 | -0.862** |
Jiangsu | 0.992** | 0.969** | 0.954** | 0.122 | 0.078 | 0.125 |
Zhejiang | 0.981** | 0.961** | 0.907** | -0.496 | -0.514 | -0.576 |
Anhui | 0.996** | 0.989** | -0.243 | 0.009 | -0.011 | 0.169 |
Fujian | 0.998** | 0.989** | 0.994** | -0.871** | -0.888** | -0.881** |
Jiangxi | 0.998** | 0.993** | 0.980** | -0.115 | -0.110 | -0.165 |
Shandong | 0.991** | 0.992** | 0.993** | -0.542 | -0.468 | -0.495 |
Henan | 0.978** | 0.980** | 0.459 | 0.937** | 0.945** | 0.510 |
Hubei | 0.976** | 0.948** | 0.975** | -0.886** | -0.928** | -0.824** |
Hunan | 0.984** | 0.978** | 0.977** | -0.921** | -0.911** | -0.894** |
Guangdong | 0.995** | 0.965** | 0.952** | -0.897** | -0.847** | -0.901** |
Guangxi | 0.992** | 0.987** | -0.148 | -0.850** | -0.840** | 0.255 |
Hainan | 0.983** | 0.996** | 0.988** | -0.843** | -0.771** | -0.808** |
Chongqing | 0.996** | 0.990** | 0.995** | -0.525 | -0.538 | -0.532 |
Sichuan | 0.983** | 0.985** | -0.010 | -0.832** | -0.834** | 0.301 |
Guizhou | 0.994** | 0.867** | -0.566 | -0.209 | -0.105 | 0.610 |
Yunnan | 0.916** | 0.962** | 0.950** | -0.724* | -0.722* | -0.755** |
Tibet | 0.969** | 0.920** | 0.958** | 0.073 | 0.130 | 0.045 |
Shaanxi | 0.988** | 0.992** | 0.994** | -0.644* | -0.620 | -0.544 |
Gansu | 0.945** | 0.972** | 0.988** | 0.542 | 0.625 | 0.696* |
Qinghai | 0.983** | 0.987** | 0.994** | 0.906** | 0.916** | 0.934** |
Ningxia | 0.991** | 0.996** | 0.995** | 0.722* | 0.758* | 0.976** |
Xinjiang | 0.982** | 0.968** | 0.960** | 0.680* | 0.705* | 0.670* |
Table 4
Predictions of each province’s airport passenger and cargo throughput in 2025"
Province | 2025 airport passenger and cargo throughput (106 standard persons) | 2015-2025 growth rate | Province | 2025 airport passenger and cargo throughput (106 standard persons) | 2015-2025 growth rate |
---|---|---|---|---|---|
Guangdong | 237.05 | 0.7759 | Hubei | 38.90 | 0.6539 |
Shanghai | 232.82 | 0.6583 | Tianjin | 36.82 | 1.2010 |
Beijing | 207.13 | 0.7763 | Guangxi | 35.06 | 0.7239 |
Yunnan | 91.66 | 0.6186 | Heilongjiang | 31.78 | 0.7483 |
Zhejiang | 90.42 | 0.7479 | Guizhou | 27.92 | 0.6788 |
Sichuan | 89.68 | 0.6247 | Shanxi | 22.45 | 0.9607 |
Fujian | 77.79 | 0.8441 | Inner Mongolia | 20.70 | 2.2121 |
Chongqing | 70.24 | 0.9155 | Jiangxi | 20.36 | 0.9311 |
Shandong | 69.37 | 0.7510 | Jilin | 20.18 | 0.7494 |
Shaanxi | 67.16 | 0.8059 | Hebei | 18.80 | 1.5541 |
Jiangsu | 64.89 | 0.7830 | Gansu | 17.04 | 0.7272 |
Hainan | 61.75 | 0.7734 | Anhui | 15.69 | 0.7914 |
Xinjiang | 55.28 | 1.0230 | Ningxia | 12.28 | 1.0781 |
Liaoning | 53.89 | 0.7612 | Qinghai | 9.78 | 1.1271 |
Henan | 42.49 | 0.8399 | Tibet | 7.4 | 0.8963 |
Hunan | 39.42 | 0.7729 |
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