地理学报(英文版) ›› 2022, Vol. 32 ›› Issue (3): 517-536.doi: 10.1007/s11442-022-1959-8
收稿日期:
2021-05-25
接受日期:
2021-11-17
出版日期:
2022-03-25
发布日期:
2022-05-25
YANG Liangjie1(), WANG Jing1, YANG Yongchun2
Received:
2021-05-25
Accepted:
2021-11-17
Online:
2022-03-25
Published:
2022-05-25
About author:
Yang Liangjie (1977-), PhD and Associate Professor, specialized in urban ecology and city networks research. E-mail: yangljmnx@163.com
Supported by:
. [J]. 地理学报(英文版), 2022, 32(3): 517-536.
YANG Liangjie, WANG Jing, YANG Yongchun. Spatial evolution and growth mechanism of urban networks in western China: A multi-scale perspective[J]. Journal of Geographical Sciences, 2022, 32(3): 517-536.
Calculation formula | Remarks | |
---|---|---|
Degree centrality | | |
Out-degree and in-degree | | |
Betweenness centrality | | The shortest path through point i that exists between points j and k is expressed in terms of gjk(ni). CB(Ni) is the probability that i is in the shortest path between points j and k. |
Node symmetry | | SMa represents node symmetry, SM represents overall network symmetry. |
Target layer | Index layer | Index meaning | Theoretical hypothesis |
---|---|---|---|
Y: city network | X1: Industrial structure similarity | Using the industrial structure similarity model to describe the economic industrial relations based on data of secondary and tertiary industries | A negative influence on city networks |
X2: Economic development gap relationship | Using the per capita GDP difference to construct the economic development gap | A positive influence on city networks | |
X3: Administrative relationship | According to the national standard of city administrative grade classification to divide the grades of cities | A positive influence on city networks | |
X4: Economic system proximity | According to industrial parks above the provincial level to calculate the intercity economic proximity | A positive influence on city networks | |
X5: Average time distance relationship | By the average time distance between highway and railway to construct the distance relation between two cities | A negative influence on city networks | |
X6: Internet gap | Taking the difference in the number of Internet users per 10,000 people between two cities to build the difference in Internet convenience | A negative influence on city networks | |
X7: Science and technology gap | Taking the difference of expenditure on scientific undertakings between two cities to construct the differential relationship of scientific and technological innovation | A negative influence on city networks |
| 2005 | 2010 | 2015 | |||
---|---|---|---|---|---|---|
City | Co-Ci | City | Co-Ci | City | Co-Ci | |
Dominant city | Chongqing | 0.1983 | Chongqing | 0.1402 | Chongqing | 0.0563 |
Xi’an | 0.0776 | Aksu | 0.0898 | Liuzhou | 0.0101 | |
Chengdu | 0.0485 | Xi’an | 0.0481 | Chengdu | 0.0096 | |
Wuhai | 0.0267 | Chengdu | 0.0376 | Hohhot | 0.0071 | |
Kunming | 0.0087 | Yibin | 0.0213 | Deyang | 0.0068 | |
Nanning | 0.004 | Kunming | 0.0136 | Xi’an | 0.006 | |
Hohhot | 0.0033 | Nanning | 0.0092 | Guilin | 0.005 | |
Bayingolin | 0.0007 | Urumqi | 0.0081 | Xianyang | 0.0047 | |
Yinchuan | 0.0002 | Ordos | 0.0036 | Mianyang | 0.0044 | |
Gannan | 0.0002 | Liuzhou | 0.0012 | Kunming | 0.0044 | |
┋ | ┋ | ┋ | ┋ | ┋ | ┋ | |
Equivalent city | Huangnan | 0 | Huangnan | 0 | Huangnan | 0 |
Golog | 0 | Golog | 0 | Ngari | 0 | |
Ganzi | 0 | Yushu | 0 | Beihai | 0 | |
Changdu | 0 | Kizilsu | 0 | |||
Nyingchi | 0 | Changdu | 0 | |||
Shannan | 0 | Shannan | 0 | |||
Nagqu | 0 | Nagqu | 0 | |||
Ngari | 0 | Ngari | 0 | |||
Bijie | 0 | Liupanshui | 0 | |||
Bijie | 0 | |||||
┋ | ┋ | |||||
Subordinate city | Xianyang | -0.0184 | Hechi | -0.018 | Weinan | -0.0154 |
Tongliao | -0.0181 | Guang’an | -0.0171 | Urumqi | -0.013 | |
Urumqi | -0.0132 | Hezhou | -0.0116 | Zhangye | -0.0096 | |
Guiyang | -0.0121 | Yuxi | -0.0097 | Laibin | -0.0065 | |
Lanzhou | -0.0101 | Nanchong | -0.0083 | Wuwei | -0.0064 | |
Nanchong | -0.01 | Wuhai | -0.0081 | Jiuquan | -0.0062 | |
Yuxi | -0.0096 | Tianshui | -0.0078 | Zunyi | -0.0058 | |
Deyang | -0.009 | Suining | -0.0078 | Qujing | -0.0049 | |
Qujing | -0.0071 | Guiyang | -0.0075 | Xining | -0.0049 | |
Xining | -0.0071 | Qujing | -0.0072 | Lanzhou | -0.0044 | |
┋ | ┋ | ┋ | ┋ | ┋ | ┋ | |
Symmetry | 0.63 | 0.63 | 0.75 |
Urban agglomerations 1 | Urban agglomerations 2 | 2005 | 2010 | 2015 |
---|---|---|---|---|
Lanzhou-Xining | Chengdu-Chongqing | 33728 | 27610 | 210694 |
Lanzhou-Xining | Guanzhong Plain | 8272 | 8629 | 67382 |
Lanzhou-Xining | Beibu Gulf | 1937 | 4271 | 35036 |
Chengdu-Chongqing | Guanzhong Plain | 79017 | 59175 | 428342 |
Chengdu-Chongqing | Beibu Gulf | 28025 | 27852 | 212851 |
Guanzhong Plain | Beibu Gulf | 5909 | 7711 | 67043 |
Influencing factor | Regression coefficient | |
---|---|---|
2010 | 2015 | |
Industrial structure similarity Economic development gap relationship | -0.0003 -0.0254* | 0.0101 -0.0230* |
Administrative relation | 0.6998*** | 0.6709*** |
Economic systems proximity | -0.0850* | 0.0908** |
Average time distance relationship | -0.0499** | -0.0333* |
Internet gap relationship | -0.1394*** | -0.1649*** |
Science and technology gap relationship | -0.0812*** | -0.0740*** |
R2 | 0.37 | 0.48 |
[1] |
Akhavan M, Ghiara H, Mariotti I et al., 2020. Logistics global network connectivity and its determinants. A European city network analysis. Journal of Transport Geography, 82: 102624.
doi: 10.1016/j.jtrangeo.2019.102624 |
[2] |
Alderson A S, Beckfield J, 2004. Power and position in the world city system. American Journal of Sociology, 109(4): 811-851.
doi: 10.1086/378930 |
[3] |
Ashkezari-Toussi S, Kamel M, Sadoghi-Yazdi H, 2019. Emotional maps based on social networks data to analyze cities emotional structure and measure their emotional similarity. Cities, 86: 113-124.
doi: 10.1016/j.cities.2018.09.009 |
[4] |
Berry B J L, 1964. Cities as systems within systems of cities. Papers in Regional Science, 13(1): 147-163.
doi: 10.1111/j.1435-5597.1964.tb01283.x |
[5] |
Broekel T, Balland P A, Burger M et al., 2014. Modeling knowledge networks in economic geography: A discussion of four methods. The Annals of Regional Science, 53(2): 423-452.
doi: 10.1007/s00168-014-0616-2 |
[6] |
Cao G, Derudder B, Peng Z W, 2018. Comparing the physical, functional and knowledge integration of the Yangtze River Delta city-region through the lens of inter-city networks. Cities, 82: 119-126.
doi: 10.1016/j.cities.2018.05.010 |
[7] | Castells M, 1996. The Rise of the Network Society. Cambridge, MA: Blackwell. |
[8] |
Castells M, 2007. Centrality in the space of flows. Built Environment, 33(4): 482-485.
doi: 10.2148/benv.33.4.482 |
[9] |
Cervero R, Wu K L, 1998. Sub-centring and commuting: Evidence from the San Francisco Bay Area, 1980-90. Urban Studies, 35(7): 1059-1076.
doi: 10.1080/0042098984484 |
[10] |
Chong Z, Pan S, 2020. Understanding the structure and determinants of city network through intra-firm service relationships: The case of Guangdong-Hong Kong-Macao Greater Bay Area. Cities, 103: 102738.
doi: 10.1016/j.cities.2020.102738 |
[11] |
Coe N M, Hess M, Yeung H W C et al., 2004. 'Globalizing' regional development: A global production networks perspective. Transactions of the Institute of British Geographers, 29(4): 468-484.
doi: 10.1111/tran.2004.29.issue-4 |
[12] |
Defever F, 2006. Functional fragmentation and the location of multinational firms in the enlarged Europe. Regional Science and Urban Economics, 36(5): 658-677.
doi: 10.1016/j.regsciurbeco.2006.06.007 |
[13] |
Derudder B, 2006. On conceptual confusion in empirical analyses of a transnational urban network. Urban Studies, 43(11): 2027-2046.
doi: 10.1080/00420980600897842 |
[14] |
Derudder B, Witlox F, 2005. On the use of inadequate airline data in mappings of a global urban system. Journal of Air Transport Management, 11(4): 231-237.
doi: 10.1016/j.jairtraman.2005.01.001 |
[15] | Duan D Z, Du D B, Chen Y et al., 2018. Spatial-temporal complexity and growth mechanism of city innovation network in China. Scientia Geographica Sinica, 38(11): 1759-1768. (in Chinese) |
[16] |
Fang C L, 2015. Important progress and future direction of studies on China’s urban agglomerations. Journal of Geographical Sciences, 25(8): 1003-1024.
doi: 10.1007/s11442-015-1216-5 |
[17] |
Fang C L, 2019. The basic law of the formation and expansion in urban agglomerations. Journal of Geographical Sciences, 29(10): 1699-1712.
doi: 10.1007/s11442-019-1686-y |
[18] |
Harvey D, 1990. Between space and time: Reflections on the geographical imagination. Annals of the Association of American Geographers, 80(3): 418-434.
doi: 10.1111/j.1467-8306.1990.tb00305.x |
[19] |
Hu X Q, Wang C, Wu J J et al., 2020. Understanding interurban networks from a multiplexity perspective. Cities, 99: 102625.
doi: 10.1016/j.cities.2020.102625 |
[20] |
Kang J J, Xu W, Yu L, Ning Y M, 2020. Localization, urbanization and globalization: Dynamic manufacturing specialization in the YRD mega-city conglomeration. Cities, 99: 102641.
doi: 10.1016/j.cities.2020.102641 |
[21] |
Kelly P F, 1999. The geographies and politics of globalization. Progress in Human Geography, 23(3): 379-400.
doi: 10.1177/030913259902300303 |
[22] | Leng B R, Yang Y C, Li Y J et al., 2011. Spatial characteristics and complex analysis: A perspective from basic activities of urban networks in China. Acta Geographica Sinica, 66(2): 199-211. (in Chinese) |
[23] | Li D D, Wang T, Wei Y H et al., 2015. Spatial and temporal complexity of scientific knowledge network and technological knowledge network on China’s urban scale. Geographical Research, 34(10): 525-540. (in Chinese) |
[24] | Li J, Dong S C, Huang Y B et al., 2014. Multi-scale spatial structure analysis of urban network based on local IT enterprise network in China. Geography and Geo-Information Science, 30(1): 110-115. (in Chinese) |
[25] | Li X D, 2012. Research of urban network based on firm network. Shanghai: East China Normal University, (in Chinese) |
[26] | Li X D, 2014. Spatial structure of the Yangtze River Delta urban network based on the pattern of listed companies network. Progress in Geography, 33(12): 1587-1600. (in Chinese) |
[27] | Li X D, 2015. Structure and Evolution of Urban Network. Beijing: Science and Technology Press. (in Chinese) |
[28] |
Li Y, Monzur T, 2018. The spatial structure of employment in the metropolitan region of Tokyo: A scale-view. Urban Geography, 39(2): 236-262.
doi: 10.1080/02723638.2017.1308182 |
[29] | Li Y C, 2019. A preliminary analysis on urban innovation network of metropolitan region and its characteristics. Planning Studies, 43(6): 27-33, 39. (in Chinese) |
[30] | Liu J, 2009. Lecture on Whole Network Approach:A Practical Guide to UCINET. Shanghai: Truth and Wisdom Press. (in Chinese) |
[31] |
Liu X, Derudder B, 2013. Analyzing urban networks through the lens of corporate networks: A critical review. Cities, 31: 430-437.
doi: 10.1016/j.cities.2012.07.009 |
[32] |
Liu X, Derudder B, Wu K, 2016. Measuring polycentric urban development in China: An intercity transportation network perspective. Regional Studies, 50(8): 1302-1315.
doi: 10.1080/00343404.2015.1004535 |
[33] | Ma H T, Fang C L, 2011. Spatial organization of production networks in city-region based on enterprises relationship: A case of apparel production in urban agglomeration of eastern Guangdong Province. Scientia Geographica Sinica, 31(10): 1172-1180. (in Chinese) |
[34] |
Matthiessen C W, Schwarz A W, Find S, 2010. World cities of scientific knowledge: systems, networks and potential dynamics. an analysis based on bibliometric indicators. Urban Studies, 47(9): 1879-1897.
doi: 10.1177/0042098010372683 |
[35] |
Pan F H, Bi W K, Lenzer J, Zhao S, 2017. Mapping urban networks through inter-firm service relationships: The case of China. Urban Studies, 54 (12): 3639-3654.
doi: 10.1177/0042098016685511 |
[36] | Ren Y, Chen X M, 2009. The Ere of Global City-regions. Shanghai, China: Shanghai Fudan University Press. (in Chinese) |
[37] |
Rozenblat C, 2010. Opening the black box of agglomeration economies for measuring cities’ competitiveness through international firm networks. Urban Studies, 47(13): 2841-2865.
doi: 10.1177/0042098010377369 |
[38] |
Sheng K R, Wang Y J, Fan J, 2019. Dynamics and mechanisms of the spatial structure of urban network in China: A study based on the corporate networks of top 500 public companies. Economic Geography, 39(11): 84-93. (in Chinese)
doi: 10.2307/142497 |
[39] | Sheng K R, Zhang H X, Lv D D, 2018. Progress and prospect of urban networks research through the lens of corporate networks. Human Geography, 33(2): 11-18. (in Chinese) |
[40] | Sheng K R, Zhang J, Zhang H X, 2020. Network embedding and urban economic growth in China: A study based on the corporate networks of top 500 public companies. Acta Geographica Sinica, 75(10): 1-17. (in Chinese) |
[41] | Smith M P, 2000. Transnational Urbanism: Locating Globalization. Malden, MA: Wiley-Blackwell. |
[42] | Song Q, Zhao X Z, Li T S et al., 2018. Spatial structures and influencing factors of multiple urban networks based on the perspective of directed-multivalued relation. Progress in Geography, 37(9): 1257-1267. (in Chinese) |
[43] | Sun T, Lv Y Q, 2020. Employment centers and polycentric spatial development in Chinese cities: A multi-scale analysis. Cities, 99: 102617. |
[44] | Sun Z W, Lu Z, He J L, 2009. Research on spatial pattern and organization mechanism of international internet information flows. Human Geography, 24(4): 43-49. (in Chinese) |
[45] |
Taylor P J, 1982. A materialist framework for political geography. Transactions of the Institute of British Geographers, 7(1): 15-34.
doi: 10.2307/621909 |
[46] | Taylor P J, 2001. Urban hinterworlds: Geographies of corporate service provision under conditions of contemporary globalisation. Geography, 86(1): 51-60. |
[47] |
Taylor P J, 2005. Leading world cities: Empirical evaluations of urban nodes in multiple networks. Urban Studies, 42(9): 1593-1608.
doi: 10.1080/00420980500185504 |
[48] |
Taylor P J, Catalano G, Walker D R F, 2002. Measurement of the world city network. Urban Studies, 39(13): 2367-2376.
doi: 10.1080/00420980220080011 |
[49] |
Wang L, Duan X, 2018. High-speed rail network development and winner and loser cities in megaregions: The case study of Yangtze River Delta, China. Cities, 83: 71-82.
doi: 10.1016/j.cities.2018.06.010 |
[50] |
Wei Y, Song W, Xiu C L et al., 2018. The rich-club phenomenon of China’s population flow network during the country’s spring festival. Applied Geography, 96: 77-85.
doi: 10.1016/j.apgeog.2018.05.009 |
[51] |
Xu J, Zhang M, Zhang X L et al., 2019. How does city-cluster high-speed rail facilitate regional integration? Evidence from the Shanghai-Nanjing corridor. Cities, 85: 83-97.
doi: 10.1016/j.cities.2018.12.003 |
[52] | Yang L J, Yang Y C, Pan J H, 2019. Network structure evolution and the spatial-temporal pattern of China western cities participating in global and national competition. Economic Geography, 39(10): 43-53. (in Chinese) |
[53] |
Yeh A G O, Yang F F, Wang J J, 2015. Producer service linkages and city connectivity in the mega-city region of China: A case study of the Pearl River Delta. Urban Studies, 52(13): 2458-2482.
doi: 10.1177/0042098014544762 |
[54] | Yuan H L, Xin N, 2019. Global trade network pattern and influencing factors of advanced manufacturing in China. Economic geography, 39(6): 108-117. (in Chinese) |
[55] | Zhao M X, Li Z F, Zhong Y et al., 2016. Polycentric network topology of urban agglomerations in China. Progress in Geography, 35(3): 376-388. (in Chinese) |
[56] | Zhao X Z, Li Q P, Rui S et al., 2019. The characteristics of urban network of China: A study based on the Chinese companies in the fortune global 500 list. Acta Geographica Sinica, 74(4): 694-709. (in Chinese) |
[57] | Zhen F, Wang B, Chen Y X, 2012. China’s city network characteristics based on social network space: An empirical analysis of Sina Micro-Blog. Acta Geographica Sinica, 67(8): 1031-1043. (in Chinese) |
[58] | Zhou Z H, 2006. Logistic relation of globalization, global urban network and global cities. Journal of Social Sciences, (10): 17-26. (in Chinese) |
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