Journal of Geographical Sciences, Volume. 30, Issue 4, 515(2020)
Analysis of city centrality based on entropy weight TOPSIS and population mobility: A case study of cities in the Yangtze River Economic Belt
Figures & Tables(18)
Fig. 1. Location and administrative divisions of the Yangtze River Economic Belt
Fig. 2. Scores and classes of city centrality in the Yangtze River Economic Belt
Fig. 3. Clustering of city centrality of the Yangtze River Economic Belt
Fig. 4. Hotspot analysis of city centrality of the Yangtze River Economic Belt
Fig. 5. The top 5 factors influencing city centrality in the Yangtze River Economic Belt
Fig. 6. Ranking of cumulative contributions of the top 5 indicators in the ranking of cities of different classes in the Yangtze River Economic Belt
Fig. 7. Population inflows between cities in the Yangtze River Economic Belt (The above data are for 2016)
Fig. 8. Population outflows between cities in the Yangtze River Economic Belt (the above data are for 2016)
Fig. 9. The population flows into the Yangtze River Economic Belt from other parts of China (the above data are for 2016)
Fig. 10. Population outflow from the Yangtze River Economic Belt to other parts of China (the above data are for 2016)
Table 1.
Symbol of each indicator
View tableView in ArticleTable 1.
Symbol of each indicator
Indicator Symbol Indicator Symbol Total permanent residential population C1 Number of authorized patents C10 GDP C2 High-tech output value C11 Added value of secondary and tertiary industries C3 Number of high-speed railway and express railway stations C12 Total fixed assets investment C4 Number of civil airports C13 Total retail sales of consumer goods C5 Total amount of cargo transported C14 Actual use of foreign investment C6 Total number of passengers transported C15 Amount of imports and exports C7 Number of colleges and universities C16 Tourism income C8 Number of students in colleges and universities C17 R&D expenditure C9
Table 2.
Data sources for indicators
View tableView in ArticleTable 2.
Data sources for indicators
Indicators Data sources C1, C2, C3, C4, C5, C6, C14, C15, C16, C17 China Urban Statistical Yearbook (2017) C1, C2, C3, C4, C5, C6, C7, C8, C9, C10, C11, C14, C15, C16, C17 Statistical Yearbooks (2017) of the cities in the YREB C1, C2, C3, C4, C5, C6, C7, C8, C9, C10, C11, C14, C15, C16, C17 2016 National Economic and Social Development Statistics Bulletin of the cities in the YREB C12 12306 China Railway ( https://www.12306.cn/mormhweb/czyd_2143/ )C13 2016 Civil Aviation Airport Production Statistics Bulletin of China ( http://www.caac.gov.cn/XXGK/XXGK/TJSJ/201702/t20170224_42760.html )
Table 3.
Weight of each indicator
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Weight of each indicator
Indicator Weight Indicator Weight C1 0.0691 C10 0.0572 C2 0.1039 C11 0.0708 C3 0.0781 C12 0.0480 C4 0.0581 C13 0.0403 C5 0.0659 C14 0.0408 C6 0.0654 C15 0.0423 C7 0.0514 C16 0.0527 C8 0.0363 C17 0.0616 C9 0.0581 — —
Table 4.
The correlation coefficient between population flows and the centrality scores of cities in the Yangtze River Economic Belt
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The correlation coefficient between population flows and the centrality scores of cities in the Yangtze River Economic Belt
Classification Correlation coefficient P The correlation coefficient between population inflows and the centrality scores of cities in the YREB 0.9030 8.56E-49 The correlation coefficient between population outflows and the centrality scores of cities in the YREB 0.9257 6.66E-56 The correlation coefficient between population entering the YREB from other cities in China and the centrality scores of cities in the YREB 0.9508 5.48E-67 The correlation coefficient between population flowing out of the YREB to other cities in China and the centrality scores of cities in the YREB 0.8613 1.84E-39
Table 5.
The source city for population inflow from different classes of city in the Yangtze River Economic Belt
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The source city for population inflow from different classes of city in the Yangtze River Economic Belt
The source city for population inflow from first-class cities The source city for population inflow from second-class cities The source city for population inflow from third-class cities The source city for population inflow from fourth-class cities The source city for population inflow for fifth-class cities Class Proportion (%) Class Proportion (%) Class Proportion (%) Class Proportion (%) Class Proportion (%) First 55.01 First 35.85 Second 43.09 Second 33.81 First 43.15 Second 23.65 Third 23.43 First 28.25 First 31.06 Fourth 22.34 Fourth 13.78 Second 19.91 Third 14.86 Fourth 18.83 Second 19.76 Fifth 4.96 Fourth 17.71 Fourth 12.20 Third 11.58 Fifth 8.38 Third 2.59 Fifth 3.10 Fifth 1.60 Fifth 4.73 Third 6.38
Table 6.
The destination city for the population outflow from different classes of city in the Yangtze River Economic Belt
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The destination city for the population outflow from different classes of city in the Yangtze River Economic Belt
The destination city for the population outflow from first-class cities The destination city for the population outflow from second-class cities The destination city for the population outflow from third-class cities The destination city for the population outflow from fourth-class cities The destination city for the population outflow from fifth-class cities Class Proportion (%) Class Proportion (%) Class Proportion (%) Class Proportion (%) Class Proportion (%) First 42.39 First 42.39 Second 38.11 Second 28.49 First 36.00 Second 22.47 Second 22.47 First 23.55 First 26.60 Fourth 28.46 Fourth 21.68 Fourth 21.68 Fourth 18.50 Fourth 25.50 Second 17.40 Fifth 7.91 Fifth 7.91 Third 17.85 Third 13.27 Fifth 10.48 Third 5.55 Third 5.55 Fifth 2.00 Fifth 6.15 Third 7.66
Table 7.
Source areas (outside the YREB) for population inflow for different classes of city in the Yangtze River Economic Belt
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Source areas (outside the YREB) for population inflow for different classes of city in the Yangtze River Economic Belt
Source area of the population inflow for first-class cities Source area for the population inflow for second-class cities Source area for the population inflow for third-class cities Source area for the population inflow for fourth-class cities Source area for the population inflow for fifth-class cities Area Proportion (%) Area Proportion (%) Area Proportion (%) Area Proportion (%) Area Proportion (%) Guangdong 45.32 Beijing 44.73 Guangdong 61.27 Guangdong 59.70 Guangdong 55.08% Beijing 34.38 Guangdong 39.68 Beijing 29.68 Beijing 25.77 Beijing 33.12 Jilin 4.50 Guangxi 4.51 Henan 3.11 Fujian 5.43 Fujian 3.45 Hainan 4.45 Jilin 3.62 Fujian 1.77 Guangxi 2.63 Henan 2.49 Shaanxi 3.45 Shandong 2.00 Shandong 1.25 Henan 2.06 Tibet 1.46 Tianjin 3.06 Henan 1.36 Shaanxi 0.68 Shaanxi 0.98 Hainan 1.43 Liaoning 1.54 Tianjin 1.21 Heilongjiang 0.38 Hainan 0.93 Guangxi 0.77 Hong Kong 1.54 Shaanxi 1.12 Guangxi 0.38 Tianjin 0.91 Shandong 0.75 Fujian 0.79 Hainan 0.87 Liaoning 0.38 Hebei 0.42 Shaanxi 0.59 Tibet 0.72 Hebei 0.32 Tianjin 0.34 Liaoning 0.41 Tianjin 0.23 Shandong 0.14 Heilongjiang 0.26 Jilin 0.19 Tibet 0.23 Hebei 0.22 Inner Mongolia 0.11 Inner Mongolia 0.14 Hainan 0.14 Shandong 0.19 Liaoning 0.14 — — Gansu 0.11 Gansu 0.14 Jilin 0.13 Jilin 0.12 — — Liaoning 0.07 Tibet 0.14 Gansu 0.10 Gansu 0.08 — — — — Ningxia 0.10 Shanxi 0.03 Xinjiang 0.04 — — — — Hebei 0.04 Heilongjiang 0.03 Shanxi 0.04 — — — — Shanxi 0.01 Inner Mongolia 0.03 — — — — — — Qinghai 0.01 Macao 0.03 — —
Table 8.
Destination areas (outside the YREB) for population outflow for different classes of city in the Yangtze River Economic Belt
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Destination areas (outside the YREB) for population outflow for different classes of city in the Yangtze River Economic Belt
Destination area for the first-class city outflow population Destination area for the second-class city outflow population Destination area for the third-class city outflow population Destination area for the fourth-class city outflow population Destination area for the fifth-class city outflow population Area proportion (%) Area proportion (%) Area proportion (%) Area proportion (%) Area proportion (%) Guangdong 37.59 Beijing 49.46 Guangdong 43.24 Guangdong 47.26 Guangdong 46.21 Beijing 37.18 Guangdong 32.44 Beijing 40.21 Beijing 31.46 Beijing 38.21 Hainan 5.16 Guangxi 3.59 Henan 7.17 Fujian 5.57 Fujian 4.13 Jilin 3.94 Henan 3.52 Shandong 2.09 Henan 4.89 Henan 4.09 Tianjin 3.91 Shandong 3.28 Shaanxi 1.22 Guangxi 3.51 Shandong 1.65 Shaanxi 3.33 Jilin 3.12 Fujian 1.20 Shaanxi 2.17 Tibet 1.61 Hong Kong 2.33 Shaanxi 1.07 Jilin 0.96 Tianjin 1.39 Hainan 1.13 Shandong 2.30 Tianjin 0.89 Heilongjiang 0.82 Hainan 1.04 Shaanxi 1.10 Liaoning 1.79 Fujian 0.79 Guangxi 0.81 Shandong 0.71 Guangxi 0.99 Tibet 1.48 Hebei 0.49 Liaoning 0.63 Liaoning 0.67 Tianjin 0.49 Fujian 0.85 Hainan 0.48 Tianjin 0.60 Hebei 0.54 Shanxi 0.18 Inner Mongolia 0.14 Heilongjiang 0.45 Tibet 0.31 Tibet 0.34 Hebei 0.10 — — Inner Mongolia 0.24 Gansu 0.24 Gansu 0.22 Gansu 0.07 — — Liaoning 0.17 Hebei 0.21 Jilin 0.11 Liaoning 0.04 — — — — Hainan 0.19 Inner Mongolia 0.05 Ningxia 0.01 — — — — Hong Kong 0.10 Heilongjiang 0.05 — — — — — — Shanxi 0.01 Macao 0.03 — — — — — — — — Shanxi 0.02 — —
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Jing LUO, Siyun CHEN, Xuan SUN, Yuanyuan ZHU, Juxin ZENG, Guangping CHEN. Analysis of city centrality based on entropy weight TOPSIS and population mobility: A case study of cities in the Yangtze River Economic Belt[J]. Journal of Geographical Sciences, 2020, 30(4): 515
Paper Information
Received: Apr. 25, 2019
Accepted: Dec. 29, 2019
Published Online: Sep. 30, 2020
The Author Email: SUN Xuan (muxuan0524@126.com)
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