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The Structure and Pattern of Urban Network in the Lanzhou-Xining Urban Agglomeration

  • Huali Tong
  • Peiji ShiEmail author
  • Jun Luo
  • Xiaoxiao Liu
Article
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Abstract

In this paper, we use factor analysis to evaluate the urban comprehensive quality of each city in the Lanzhou-Xining (Lan-Xi) urban agglomeration. The time distance was obtained by using GIS spatial analysis, and the structure and pattern of the spatial network were analyzed by using the gravity model and social network analysis method. The results show that: 1) The scale effect of the Lan-Xi urban agglomeration is gradually emerging, and it is gradually forming the urban agglomeration with Lanzhou and Xining as the core, the Lan-Xi high-speed railway as the axis, and a high-dense connection. 2) Lanzhou and Xining are at the core of the Lan-Xi urban agglomeration, which has a strong attraction and spreads to neighboring cities. 3) In the network structure of the Lan-Xi urban agglomeration, Lanzhou, Baiyin, Gaolan, Yuzhong, Yongdeng, Dingxi, Lintao, Xining, Ledu, Huangzhong, Ping'an, Minhe and Datong are located in the network core position, which have the superiority position and lead to the entire regional communication enhancement and the regional integration development. 4) This urban agglomeration has significant subgroups, eight tertiary subgroups and four secondary subgroup; the tertiary subgroups which compose secondary subgroup have a close connection and mutually influence each other. 5) The Lanzhou Metropolitan Area and the Xining Metropolitan Area have an important impact on the surrounding cities, and the peripheral cities are basically controlled by the central city. The Dingxi subgroup, Lintao-Linxia subgroup, Gonghe subgroup have more structural holes than the subgroups within the Lanzhou Metropolitan Area and the Xining Metropolitan Area, so the peripheral cities of these subgroups have relatively less connection with surrounding cities.

Keywords

urban network spatial structure spatial pattern Lan-Xi urban agglomeration China 

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References

  1. Beaverstock J V, Smith R G, Taylor P J et al., 2000. Globalization and world cities: some measurement methodologies. Applied Geography, 20(1): 43–63. doi: 10.1016/S0143-6228(99) 00016-8CrossRefGoogle Scholar
  2. Burger M, Meijers E, 2012. Form follows function? Linking morphological and functional polycentricity. Urban Studies, 49(5): 1127–1149. doi: 10. 1177/0042098011407095CrossRefGoogle Scholar
  3. Burger M J, van der Knaap B, Wall R S, 2014. Polycentricity and the multiplexity of urban networks. European Planning Studies, 22(4): 816–840. doi: 10.1080/09654313.2013.771619CrossRefGoogle Scholar
  4. Champion A G, 2001. A changing demographic regime and evolving poly centric urban regions: consequences for the size, composition and distribution of city populations. Urban Studies, 38(4): 657–677. doi: 10.1080/00420980120035277CrossRefGoogle Scholar
  5. Chen Wei, Liu Weidong, Ke Wenqian et al., 2017. The spatial structures and organization patterns of China's city networks based on the highway passenger flows. Acta Geographica Sinica, 72(2): 224–241. (in Chinese)Google Scholar
  6. Chen Weijin, Ma Xueguang, Cai Lili et al., 2013. Characteristics of regional city connection's spatial pattern based on intercity passenger traffic flow in Pearl River Delta. Economic Geography, 33(4): 48–55. (in Chinese)Google Scholar
  7. Fang Chuanglin, Bao Chao, Ma Haitao, 2016. China's Urban Agglomeration Development Report. Beijing: Science Press. (in Chinese)Google Scholar
  8. Fang C L, Yu D L, 2017. Urban agglomeration: an evolving concept of an emerging phenomenon. Landscape & Urban Planning, 162: 126–136. doi: 10.1016/j.landurbplan.2017.02.014CrossRefGoogle Scholar
  9. Feng Xinghua, Xiu Chunliang, Liu Zhimin et al., 2018. Characteristics of urban network hierarchy evolution based on the perspective of railway passenger transport in Northeast China. Scientia Geographica Sinica, 38(9): 1430–1438. (in Chinese)Google Scholar
  10. Gansu Development Yearbook Editorial Board, 2016. Gansu Development Yearbook. Beijing: China Statistics Press. (in Chinese)Google Scholar
  11. Leng Bingrong, Yang Yongchun, Li Yingjie 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)Google Scholar
  12. Leng Bingrong, Yang Yongchun, Tan Yiming, 2014. City network studies: the transformation of research perspective from hierarchy to network. Urban Planning International, 29(1): 1–7. (in Chinese)Google Scholar
  13. Li Chen, Jin Xiangmu, 2016. Measurement of spatial interaction between central towns based on the gravity model. Scientia Geographica Sinica, 36(5): 724–732. (in Chinese)Google Scholar
  14. Li Dandan, Wang Tao, Wei Yehua et al., 2015. Spatial and temporal complexity of scientific knowledge network and technological knowledge network on China's urban scale. Geographical Research, 34(3): 525–540. (in Chinese)Google Scholar
  15. Liu Fajian, Zhang Jie, Zhang Jinhe et al., 2010. Roles and functions of provincial destinations in Chinese inbound tourist flow network. Geographical Research, 29(6): 1141–1152. (in Chinese)Google Scholar
  16. Liu Jun, 2014. Lectures on Whole Network Approach: A Practical Guide to UCINET. 2nd ed. Shanghai: Truth and Wisdom Press, 129-131. (in Chinese)Google Scholar
  17. Liu Xiaoxiao, Shi Peiji, Zhao Ruidong et al., 2018. Spatial network structure and optimization of self-help tourism in Gansu-Qinghai-Ningxia region. Journal of Arid Land Resources and Environment, 32(12): 197–203. (in Chinese)Google Scholar
  18. Liu Zhengbing, Liu Jingyu, He Xiaopei et al., 2014. The spatial connection and network feature of Zhongyuan Economic District base on intercity traffic flow. Economic Geography, 34(7): 58–66. (in Chinese)Google Scholar
  19. Liu Zhengbing, Dai Teqi, Liao Cong et al., 2017. The characters of intercity freight transport networks in China: a case study on ‘FIRST CARGO’ platform. Economic Geography, 37(6): 28–35. (in Chinese)Google Scholar
  20. Luo Jiade, 2010. Social Network Analysis. 2nd ed. Beijing: Social Science Academic Press. (in Chinese)Google Scholar
  21. Ma Xueguang, Li Luqi, 2017. Spatial contact and network structure of cities in Bohai Rim based on railway passenger flow. Economic Geography, 37(5): 66–73. (in Chinese)Google Scholar
  22. National Statistical Bureau of China, 2016a. China County Statistical Yearbook. Beijing: China Statistics Press. (in Chinese)Google Scholar
  23. National Statistical Bureau of China, 2016b. China City Statistical Yearbook. Beijing: China Statistics Press. (in Chinese)Google Scholar
  24. Parr J B, 2002. Agglomeration economies: ambiguities and confusions. Environment and Planning A: Economy and Space, 34(4): 717–731. doi: 10.1068/a34106CrossRefGoogle Scholar
  25. Qinghai Statistical Yearbook Editorial Board, 2016. Qinghai Statistical Yearbook. Beijing: China Statistics Press. (in Chinese)Google Scholar
  26. Sun Qian, Tang Fanghua, Tang Yong, 2015. An economic tie network-structure analysis of urban agglomeration in the middle reaches of Changjiang River based on SNA. Journal of Geographical Sciences, 25(6): 739–755. doi: 10.1007/s11442-015-1199-2CrossRefGoogle Scholar
  27. Tranos E, Kourtit K, Nijkamp P, 2014. Digital urban network connectivity: global and Chinese internet patterns. Papers in Regional Science, 93(2): 409–428. doi: 10.1111/pirs.12097CrossRefGoogle Scholar
  28. Wang Haijiang, Miao Changhong, Ru Lefeng et al., 2012. The spatial framework and change of Chinese Provincial Region Economic Links. Economic Geography, 32(7): 18–23. (in Chinese)Google Scholar
  29. Wang Jiao'e, Jing Yue, 2017. Comparison of spatial structure and organization mode of inter-city networks from the perspective of railway and air passenger flow. Acta Geographica Sinica, 72(8): 1508–1519. (in Chinese)Google Scholar
  30. Wang Shengyun, Zhai Chenyang, 2015. The network structure and space cooperation path of urban agglomerations in the Yangtze River economic zone. Economic Geography, 35(11): 61–70. (in Chinese)Google Scholar
  31. Wang Shengyun, Zhai Chengyang, Gu Xiaohe, 2016. Analysis on spatial network structure's dynamic evolution of urban agglomerations in the Middle Yangtze River Basin. Resources and Environment in the Yangtze Basin, 25(3): 353–364. (in Chinese)Google Scholar
  32. Wang Yao, Niu Xinyi, Song Xiaodong et al., 2018. The comparison of regional urban relations between people flow and capital flow-A study based on mobile phone signaling data and firm interlock data. Human Geography, 33(2): 84–91, 146. (in Chinese)Google Scholar
  33. Wu Qianbo, Ning Yuemin, 2012. China's urban network based on spatial organization of electronic information enterprises. Geographical Research, 31(2): 207–219. (in Chinese)Google Scholar
  34. Wu Wenjie, Dong Zhengbin, Zhang Wenzhong et al., 2011. Spatio-temporal evolution of the China's inter-urban organization network structure: based on aviation data from 1983 to 2006. Acta Geographica Sinica, 66(4): 435–445. (in Chinese)Google Scholar
  35. Ye X Y, Li W W, Huang Q Y, 2018. A synthesized urban science in the context of big data and cyberinfrastructure. In: Shen Z, Li M (eds). Big Data Support of Urban Planning and Management. Cham: Springer, 435-448. doi: 10.1007/978-3-319-51929-6_22Google Scholar
  36. Ye X Y, Liu X J, 2018. Integrating social networks and spatial analyses of the built environment. Environment and Planning B: Urban Analytics and City Science, 45(3): 395–399. doi: 10.1177/2399808318772381Google Scholar
  37. Yin Jun, Zhen Feng, Wang Chunhui, 2011. China's city network pattern: an empirical analysis based on financial enterprises layout. Economic Geography, 31(5): 754–759. (in Chinese)Google Scholar
  38. Zhang Li, 2013. Accessibility and Regional Spatial Structure. Beijing: Science Press, 110. (in Chinese)Google Scholar
  39. Zhao Miaoxi, Zhong Ye, Xu Gaofeng, 2015a. Polycentric progress of the three major city regions in China, 2001-2009. Economic Geography, 35(3): 52–59. (in Chinese)Google Scholar
  40. Zhao Miaoxi, Li Zhifeng, Zhong Ye et al., 2016. Polycentric network topology of urban agglomerations in China. Progress in Geography, 35(3): 376–388. (in Chinese)CrossRefGoogle Scholar
  41. Zhao Yinghui, Gao Xin, Jiang Bo, 2015b. The urban network connection of three provinces in Northeast China based on Baidu index. Economical Geography, 35(5): 32–37. (in Chinese)Google Scholar
  42. Zhen Feng, Wang Bo, Cheng Yingxue, 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)Google Scholar
  43. Zhen F, Cao Y, Qin X et al., 2017. Delineation of an urban agglomeration boundary based on Sina Weibo microblog ‘check-in’ data: a case study of the Yangtze River Delta. Cities, 60: 180–191. doi: 10.1016/j.cities.2016.08.014CrossRefGoogle Scholar
  44. Zhen F, Qin X, Ye X Y et al., 2019. Analyzing urban development patterns based on the flow analysis method. Cities, 86: 178–197. doi: 10.1016/j.cities.2018.09.015CrossRefGoogle Scholar

Copyright information

© Science Press, Northeast Institute of Geography and Agroecology, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.College of Geography and Environmental ScienceNorthwest Normal UniversityLanzhouChina

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