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Spheres of Urban Influence and Factors in Beijing-Tianjin-Hebei Metropolitan Region Based on Viewpoint of Administrative Division Adjustment

ZHU Jianhua,  CHEN Xi,  CHEN Tian

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文章导航 > Chinese Geographical Science  > 2017 >  27(5): 709-721
ZHU Jianhua, CHEN Xi, CHEN Tian. Spheres of Urban Influence and Factors in Beijing-Tianjin-Hebei Metropolitan Region Based on Viewpoint of Administrative Division Adjustment[J]. 中国地理科学, 2017, 27(5): 709-721. doi: 10.1007/s11769-017-0881-y
引用本文: ZHU Jianhua, CHEN Xi, CHEN Tian. Spheres of Urban Influence and Factors in Beijing-Tianjin-Hebei Metropolitan Region Based on Viewpoint of Administrative Division Adjustment[J]. 中国地理科学, 2017, 27(5): 709-721. doi: 10.1007/s11769-017-0881-y
shu
ZHU Jianhua, CHEN Xi, CHEN Tian. Spheres of Urban Influence and Factors in Beijing-Tianjin-Hebei Metropolitan Region Based on Viewpoint of Administrative Division Adjustment[J]. Chinese Geographical Science, 2017, 27(5): 709-721. doi: 10.1007/s11769-017-0881-y
Citation: ZHU Jianhua, CHEN Xi, CHEN Tian. Spheres of Urban Influence and Factors in Beijing-Tianjin-Hebei Metropolitan Region Based on Viewpoint of Administrative Division Adjustment[J]. Chinese Geographical Science, 2017, 27(5): 709-721. doi: 10.1007/s11769-017-0881-y
shu

Spheres of Urban Influence and Factors in Beijing-Tianjin-Hebei Metropolitan Region Based on Viewpoint of Administrative Division Adjustment

doi: 10.1007/s11769-017-0881-y
  • 1.

    School of Geographic Sciences, Northeast Normal University, Changchun 130024, China;

  • 2.

    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;

  • 3.

    University of Chinese Academy of Sciences, Beijing 100049, China;

  • 4.

    Northeast Asian Studies College, Jilin University, Changchun 130012, China

基金项目: Under the auspices of National Natural Science Foundation of China (No.41471126)
详细信息
    通讯作者:

    CHEN Tian,E-mail:chent@igsnrr.ac.cn

Spheres of Urban Influence and Factors in Beijing-Tianjin-Hebei Metropolitan Region Based on Viewpoint of Administrative Division Adjustment

  • 1.

    School of Geographic Sciences, Northeast Normal University, Changchun 130024, China;

  • 2.

    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;

  • 3.

    University of Chinese Academy of Sciences, Beijing 100049, China;

  • 4.

    Northeast Asian Studies College, Jilin University, Changchun 130012, China

Funds: Under the auspices of National Natural Science Foundation of China (No.41471126)
More Information
    Corresponding author: CHEN Tian,E-mail:chent@igsnrr.ac.cn

  • 摘要: The coordinated development of Beijing, Tianjin and Hebei has been elevated as China's important strategy. And, the priority in considering how to bring the maximum effect of their coordinated development into play is to delineate the spheres of urban influence with regard to the cities in the Beijing-Tianjin-Hebei Metropolitan Region. By building an evaluation index system of urban comprehensive strength, this paper applies the principal component analysis method to determine centrality strength of the cities, and the breakpoint theory and weighted Voronoi diagram to identify the spheres of urban influence in all central cities of the region. Results show that 13 central cities within the region greatly differ in strength, which can be classified into four tiers and that the spheres of urban influence do not have a high goodness of fit with administrative jurisdiction scope. Cities like Beijing, Tianjin, Shijiazhuang and Handan have larger spheres of urban, spheres of urban influence in Tangshan and Qinhuangdao are basically consistent with their administrative jurisdiction scopes, and seven cities including Langfang and Baoding have smaller spheres of urban influence. So according to these cities' comprehensive strength and spheres of influence, the region can be divided into five plates:Beijing, Tianjin, Shijiazhuang, Tangshan and Handan. The major influence factors for inconsistency between spheres of urban influence and spheres of jurisdiction include difference in urban administrative ranking, small number of central cities with weak strength, discrepancy in the number of counties under jurisdiction, unreasonable spheres of jurisdiction and diversity in topographical conditions. In order to solve the imbalance in the spheres of urban influence and those of jurisdiction and better facilitate the coordinated development of the region, it is advised to adjust administrative areas so as to obtain more optimized urban spatial layout and more reasonable urban scale hierarchy system.
    Abstract: The coordinated development of Beijing, Tianjin and Hebei has been elevated as China's important strategy. And, the priority in considering how to bring the maximum effect of their coordinated development into play is to delineate the spheres of urban influence with regard to the cities in the Beijing-Tianjin-Hebei Metropolitan Region. By building an evaluation index system of urban comprehensive strength, this paper applies the principal component analysis method to determine centrality strength of the cities, and the breakpoint theory and weighted Voronoi diagram to identify the spheres of urban influence in all central cities of the region. Results show that 13 central cities within the region greatly differ in strength, which can be classified into four tiers and that the spheres of urban influence do not have a high goodness of fit with administrative jurisdiction scope. Cities like Beijing, Tianjin, Shijiazhuang and Handan have larger spheres of urban, spheres of urban influence in Tangshan and Qinhuangdao are basically consistent with their administrative jurisdiction scopes, and seven cities including Langfang and Baoding have smaller spheres of urban influence. So according to these cities' comprehensive strength and spheres of influence, the region can be divided into five plates:Beijing, Tianjin, Shijiazhuang, Tangshan and Handan. The major influence factors for inconsistency between spheres of urban influence and spheres of jurisdiction include difference in urban administrative ranking, small number of central cities with weak strength, discrepancy in the number of counties under jurisdiction, unreasonable spheres of jurisdiction and diversity in topographical conditions. In order to solve the imbalance in the spheres of urban influence and those of jurisdiction and better facilitate the coordinated development of the region, it is advised to adjust administrative areas so as to obtain more optimized urban spatial layout and more reasonable urban scale hierarchy system.
  • [1] Aoyama Y, Kondo A, 1993. The impact of major road developments on the spheres of urban influence of Japanese cities. Transportation, 20(3): 305–323.
    [2] Boots B N, 1980. Weighting Thiessen polygons. Economic Geography, 56(3): 248–259.
    [3] Chan R, Zhao X, 2002. The relationship between administrative hierarchy position and city size development in China. Geojournal, 56(2): 97–112.
    [4] Chen Tian, 1987. A preliminary analysis on the system of influence regions of China’s urban economy. Acta Geographica Sinica, 42(4): 308–318. (in Chinese)
    [5] Christaller W, 1933. Central Places in Southern Germany. Translation into English by Carlisle W. Baskin in 1966. New Jersey:Prentice Hall Press.
    [6] Converse P D, 1949. New laws of retail gravitation. Journal of Marketing, 14(3): 379–384.
    [7] Deng Yu, Liu Shenghe, Wang Li et al., 2010. Field modeling method for identifying urban spheres of influence: a case study on central China. Chinese Geographical Science, 20(4):353–362.
    [8] Deng Yu, Liu Shenghe, CaiJianming et al., 2013. Comparative study of identification methods to delineate urban spheres of influence in Central China. Geographical Research, 32(7):1220–1230. (in Chinese)
    [9] Feng Dexian, Jia Jing, Qiao Xuning, 2006. Assessment on radiant ability of regional central city: a case study of Zhengzhou City. Scientia Geographica Sinica, 26(3): 266–272. (in Chinese)
    [10] Gong Y, Li G, Tian Y et al., 2012. A vector-based algorithm to generate and update multiplicatively weighted Voronoi diagrams for points, polylines, and polygons. Computers & Geosciences, 42(42): 118–125.
    [11] Gu Chaolin, 2002. Urban Geography of China. Beijing: The Commercial Press. (in Chinese)
    [12] Gu Jingyi, Zhou Tinggang, Guo Limin, 2014. Urban influence regions and spatial relation of Beijing-Tianjin-Hebei region based on weighted Voronoi diagram and breakpoint theory. Geography and Geo-Information Science, 30(1): 65–69. (in Chinese)
    [13] Huff D L, 1973. The delineation of a national system of planning regions on the basis of urban spheres of influence. Regional Studies, 7(3): 323–329.
    [14] Huff D L, Lutz J M, 1995. Change and continuity in the Irish urban system 1966–81. Urban Studies, 32(1): 155–173.
    [15] Isard W, 1956. Location and Space Economy. Cambridge: The MIT Press.
    [16] Isard W, 1967. Methods of Regional Analysis: An Introduction to Regional Science. Cambridge: MIT Press.
    [17] Kang S, Li J T, Zhang F et al., 2013. Hierarchical weighted Voronoi Tessellations on visual application of spatial data. Journal of Computational Information Systems, 9(18): 7341–7348.
    [18] Li Shengquan, Hu Peng, Yan Weiyang. 2004. Delimitation of central cities influenced regions based on weighted Voronoi diagram. Journal of Wuhan University of Hydraulic & Electric Engineering, 37(1): 94–97. (in Chinese)
    [19] Liu Aihua, Xie Zhengguan. 2011. Division of town economic zones based on weighted Voronoidiagram: a case study of Shiyan. Geography and Geo-Information Science, 27(4):79–82. (in Chinese)
    [20] Losch A, 1954. The Economics of Location. New Haven: Yale University Press.
    [21] National Bureau of Statistics, 2014. China City Statistical Yearbook. Beijing: China Statistics Press. (in Chinese)
    [22] Okabe A, Boots B, Sugihara K et al., 2000. Spatial Tessellations, Concepts and Applications of Voronoi Diagrams. New York:John Wiley & Sons Ltd.
    [23] Okabe A, Suzuki A, 1997. Location optimization problems solved through Voronoi diagrams. European Journal of Operational Research, 98 (3): 445–456.
    [24] Pan Jinghu, Shi Peiji, Dong Xiaofeng, 2008. Measurements for urban hinter land area of cities at prefecture level or above in China. Acta Geographica Sinica, 63(6): 635–645. (in Chinese)
    [25] Reilly W J, 1929. Methods for the Study of Retail Relationship. Austin, Texas: University of Texas Bulletin.
    [26] Reilly W J,1931. The Law of Retail Gravitation. New York:Knickerbocker.
    [27] Tian S, Cui X M, Sun Y, 2014. Vector-based realization of multiplicatively weighted Voronoi diagrams with ArcGIS engine. International Journal of Computer and Information Technology, 3 (4): 737–742.
    [28] Wang De, Guo Jie, 2003. Hinterland and its dynamic changes in Hu-Ning-Hang region. Urban Planning Forum, (6): 6–11. (in Chinese)
    [29] Wang De, Zhao Jinhua, 2000. HAP: a computer assisted hinterland division system its development and application. City Planning Review, 24(12): 37–41. (in Chinese)
    [30] Wang F, 2001. Regional density functions and growth patterns in major plains of China, 1982–1990. Papers in Regional Science, 80(2): 231–240.
    [31] Wang Guiyuan, Chen Wumei, 2004. Measurement of urban hinterland area based on GIS: a case study of the Yangtze River Delta. Geography and Geo-Information Science, 20(3): 69–73.(in Chinese)
    [32] Wang Hao, Deng Yu, Tian Enze et al., 2014. A comparative study of methods for delineating sphere of urban influence: a case study on central China. Chinese Geographical Science, 24(6):751–762.
    [33] Wang Kaiyong, Deng Yu, Sun Daowei et al., 2014. Evolution and spatial patterns of spheres of urban influence in China. Chinese Geographical Science, 24(1): 126–136.
    [34] Wang L, Deng Y, Liu S et al., 2011. Research on urban spheres of influence based on improved field model in central China. Journal of Geographical Sciences, 21(3): 489–502.
    [35] Wang Xinsheng, Li Quan, Guo Qingsheng et al., 2003.The generalization and construction of Voronoi diagram and its application on delimitating city’s affected coverage. Journal of Central China Normal University, 36(1): 107–111. (in Chinese)
    [36] Wilson A,1967. A statistical theory of spatial distribution models. Transportation Research, 1(3): 253–269.
    [37] Wu Guoxi, Yan Weiyang, 2009. Study of urban influenced regions of Henan province based on 2weighed Voronoi diagram. Urban Studies, (1): 55–59. (in Chinese)
    [38] Xie Shunping, Feng Xuezhi, Wang Jiechen et al., 2009. Radiation domain of commercial centers in Nanjing based on analysis of road network weighted Voronoi diagram. Acta Geographica Sinica, 64(12): 1467–1476. (in Chinese)
    [39] Zhao Chunyan, Jiang Qiongxing, Zhou Jianping. 2010. A Study of the division of urban economic regions based on weighted Voronoi diagram. Bulletin of Surveying and Mapping, 28(6):59–61. (in Chinese)
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出版历程
  • 收稿日期:  2016-03-10
  • 修回日期:  2016-07-08
  • 刊出日期:  2017-10-27

Spheres of Urban Influence and Factors in Beijing-Tianjin-Hebei Metropolitan Region Based on Viewpoint of Administrative Division Adjustment

doi: 10.1007/s11769-017-0881-y
  • 1. School of Geographic Sciences, Northeast Normal University, Changchun 130024, China;
  • 2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
  • 3. University of Chinese Academy of Sciences, Beijing 100049, China;
  • 4. Northeast Asian Studies College, Jilin University, Changchun 130012, China
    • 基金项目:  Under the auspices of National Natural Science Foundation of China (No.41471126)
    通讯作者: CHEN Tian,E-mail:chent@igsnrr.ac.cn
  • 收稿日期: 2016-03-10
  • 修回日期: 2016-07-08
  • 刊出日期: 2017-10-27

摘要: The coordinated development of Beijing, Tianjin and Hebei has been elevated as China's important strategy. And, the priority in considering how to bring the maximum effect of their coordinated development into play is to delineate the spheres of urban influence with regard to the cities in the Beijing-Tianjin-Hebei Metropolitan Region. By building an evaluation index system of urban comprehensive strength, this paper applies the principal component analysis method to determine centrality strength of the cities, and the breakpoint theory and weighted Voronoi diagram to identify the spheres of urban influence in all central cities of the region. Results show that 13 central cities within the region greatly differ in strength, which can be classified into four tiers and that the spheres of urban influence do not have a high goodness of fit with administrative jurisdiction scope. Cities like Beijing, Tianjin, Shijiazhuang and Handan have larger spheres of urban, spheres of urban influence in Tangshan and Qinhuangdao are basically consistent with their administrative jurisdiction scopes, and seven cities including Langfang and Baoding have smaller spheres of urban influence. So according to these cities' comprehensive strength and spheres of influence, the region can be divided into five plates:Beijing, Tianjin, Shijiazhuang, Tangshan and Handan. The major influence factors for inconsistency between spheres of urban influence and spheres of jurisdiction include difference in urban administrative ranking, small number of central cities with weak strength, discrepancy in the number of counties under jurisdiction, unreasonable spheres of jurisdiction and diversity in topographical conditions. In order to solve the imbalance in the spheres of urban influence and those of jurisdiction and better facilitate the coordinated development of the region, it is advised to adjust administrative areas so as to obtain more optimized urban spatial layout and more reasonable urban scale hierarchy system.

English Abstract

ZHU Jianhua, CHEN Xi, CHEN Tian. Spheres of Urban Influence and Factors in Beijing-Tianjin-Hebei Metropolitan Region Based on Viewpoint of Administrative Division Adjustment[J]. 中国地理科学, 2017, 27(5): 709-721. doi: 10.1007/s11769-017-0881-y
引用本文: ZHU Jianhua, CHEN Xi, CHEN Tian. Spheres of Urban Influence and Factors in Beijing-Tianjin-Hebei Metropolitan Region Based on Viewpoint of Administrative Division Adjustment[J]. 中国地理科学, 2017, 27(5): 709-721. doi: 10.1007/s11769-017-0881-y
shu
ZHU Jianhua, CHEN Xi, CHEN Tian. Spheres of Urban Influence and Factors in Beijing-Tianjin-Hebei Metropolitan Region Based on Viewpoint of Administrative Division Adjustment[J]. Chinese Geographical Science, 2017, 27(5): 709-721. doi: 10.1007/s11769-017-0881-y
Citation: ZHU Jianhua, CHEN Xi, CHEN Tian. Spheres of Urban Influence and Factors in Beijing-Tianjin-Hebei Metropolitan Region Based on Viewpoint of Administrative Division Adjustment[J]. Chinese Geographical Science, 2017, 27(5): 709-721. doi: 10.1007/s11769-017-0881-y
shu

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