Journal of Geographical Sciences ›› 2021, Vol. 31 ›› Issue (2): 245-264.doi: 10.1007/s11442-021-1845-9
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WANG Zhenbo1,2(), LI Jiaxin1,2, LIANG Longwu1,2
Received:
2020-03-22
Accepted:
2020-07-31
Online:
2021-02-25
Published:
2021-04-25
About author:
Wang Zhenbo, PhD and Associate Professor, specialized in urbanization. E-mail:Supported by:
WANG Zhenbo, LI Jiaxin, LIANG Longwu. Identifying the scope of the Lhasa Metropolitan Area based on a spatial field energy model[J].Journal of Geographical Sciences, 2021, 31(2): 245-264.
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Table 2
Comprehensive system used to calculate the urban nodality index"
Target layer | Primary indicator | Secondary indicators | Unit |
---|---|---|---|
Urban nodality index | Economic development status | GDP (X1) Output value of primary and secondary industries (X2) Total investment of fixed assets (X3) Public revenue (X4) | 10,000 yuan 10,000 yuan 10,000 yuan 10,000 yuan |
Social development status | Number of employees in secondary and tertiary industries (X5) Per capita GDP (X6) Surplus of residents’ deposits (X7) Number of mobile phone users (X8) Number of beds in medical and health institutions (X9) Number of students in secondary vocational education (X10) | 10,000 people Yuan 10,000 yuan Household People People | |
Resource utilization status | Area of agricultural facilities (X11) Total water supply (X12) Penetration rate for gas supply (X13) | 10,000 ha 10,000 t % | |
Ecological environment status | Annual good air quality rate (X14) Discharge achievement rate for industrial wastewater (X15) | % % |
Table 3
Nodality index data for central Tibetan cities (2016)"
City | Economic development | Social development | Resource utilization | Ecological environment | Composite index |
---|---|---|---|---|---|
Lhasa | 100.00 | 100.00 | 94.15 | 89.85 | 96.00 |
Qamdo | 56.60 | 56.68 | 52.32 | 100.00 | 66.40 |
Shannan | 53.76 | 53.08 | 62.08 | 64.79 | 58.43 |
Xigaze | 60.61 | 65.52 | 68.20 | 63.22 | 64.39 |
Nagqu | 47.36 | 50.73 | 54.22 | 40.00 | 48.08 |
Ngari | 40.00 | 43.81 | 40.00 | 59.13 | 45.74 |
Nyingchi | 51.41 | 54.58 | 60.36 | 71.10 | 59.36 |
Table 4
Accessibility areas (km2) based on hourly circles (h) in central Tibetan cities (2016)"
City | Hourly circles | |||||
---|---|---|---|---|---|---|
0-0.5 | 0.5-1 | 1-3 | 3-5 | 5-10 | 0-3 | |
Lhasa | 835.79 | 2,471.00 | 39,562.14 | 81,896.36 | 323,544.99 | 42,868.93 |
Qamdo | 703.20 | 2,369.32 | 29,778.12 | 53,298.18 | 171,777.02 | 32,850.64 |
Shannan | 622.77 | 2,686.78 | 26,545.55 | 67,624.68 | 272,086.19 | 29,855.10 |
Xigaze | 1049.03 | 3,712.42 | 46,661.68 | 93,688.61 | 309,438.58 | 51,423.13 |
Nagqu | 495.80 | 1,682.40 | 23,001.01 | 49,227.15 | 289,890.96 | 25,179.21 |
Ngari | 585.85 | 1,809.42 | 22,352.47 | 43,770.81 | 162,549.89 | 24,747.74 |
Nyingchi | 510.70 | 1,567.04 | 22,184.77 | 52,649.61 | 303,998.07 | 24,262.51 |
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