关中平原城市群中心城市空间联系强度研究

doi:10.12118/j.issn.1000-6060.2020.06.21

摘要/Abstract

摘要： 西安市作为关中平原城市群的中心城市，是推动西北地区建设发展的重要引擎。通过对传统引力模型中的质量、距离及引力系数等参数进行改进。基于修正后的引力模型，对西安市及中西部其他国家中心城市与其所在城市群内其他城市的空间联系强度进行测算，并比较分析西安市与其他国家中心城市空间联系能力存在的差距及原因。研究结果表明：（1）关中平原城市群中心城市西安的空间联系强度水平较低。在城市群内与其存在强、较强联系的城市占比仅为 30%。而在成渝城市群和长江中游城市群与成都和武汉存在强、较强联系的城市占比较高，分别为 60% 和 48.1%。（2）关中平原城市群内中心城市西安及二级城市咸阳、宝鸡的综合发展水平较低，难以有效地发挥其辐射及承接功能。与其他国家中心城市相比，西安的综合质量远低于成都和武汉，同时二级城市宝鸡与咸阳的综合质量与西安相差约 3.4 倍。（3）城市间的综合时间距离是影响西安市空间联系强度的重要因素，相较于成都而言，西安市与关中平原城市群内其他城市间的综合时间距离在地缘相近的情况下仍然较长，直接削弱了西安的空间联系能力。因此，亟需加快建设大西安都市圈的步伐，提升中心城市综合实力，积极将宝鸡市建设成为副中心城市，同时完善以西安市为枢纽的城市群交通网络体系，从而提升其运输效率。

关键词: 国家中心城市, 关中平原城市群, 城市空间联系强度, 修正引力模型

Abstract: Xi’an is the central city of the Guanzhong Plain urban agglomeration and the only national central city in northwest China. It is an important engine for the construction and development of northwest China. The traditional gravitational mode is improved in the parameters such as mass, distance and gravitational coefficient. Based on the revised gravitational model which, the strength of the spatial connection between the central cities of Xi’an and other countries in central and western China and other cities within the city cluster is measured to compare and analyze the gaps and causes of the spatial connectivity between Xi’an and other central cities. The empirical research results show that: (1) Xi’an, the central city in the Guanzhong Plain urban agglomeration, has a relatively low level of spatial connection intensity. The proportion of cities with strong ties with Xi’an in the Guanzhong Plain urban agglomeration is only 30.0% . However, Chengdu and Wuhan have a relatively high proportion of cities with strong ties with other cities in their urban agglomeration, accounting for 60.0% and 48.1%, respectively. (2) Xi’an, the central city within the Guanzhong Plain urban agglomeration and the second-tier cities Xianyang and Baoji, has a low comprehensive development level. Moreover, there is a large gap in the development level between these two levels of cities, making it difficult to effectively exert their radiation and undertaking functions. Compared with central cities in other countries, the overall quality of Xi’an is much lower than that of Chengdu and Wuhan, while the comprehensive quality of the second- tier cities Baoji and Xianyang is 3.4 times lower than that of Xi’an. (3) The comprehensive time distance between cities is an important factor that affects the strength of Xi’an’s spatial connection. Compared with Chengdu and Wuhan, although Xi’an is close to other cities in the Guanzhong Plain urban agglomeration, Xi’an is different from other cities. The city’s comprehensive time distance is still relatively long, which directly weakens Xi’an’s spatial connectivity. Therefore, it is necessary to speed up the construction of the Greater Xi’an metropolitan area and continuously improve the comprehensive strength of the central city. On the other hand, it is also necessary to actively build Baoji City into a sub-central city with stronger comprehensive strength and to perfect Xi’an as the hub of the transportation network system of the Guanzhong Plain urban agglomeration to improve the transportation efficiency between the central city of Xi’an and other cities.

Key words: national central city, Guanzhong Plain City Group, urban spatial connection intensity, modified grav? itational model

李从容, 向文倩. 关中平原城市群中心城市空间联系强度研究[J]. 干旱区地理, 2020, 43(6): 1593-1602.

LI Cong-rong, XIANG Wen-qian. Spatial connection intensity of central cities in Guanzhong Plain City Group[J]. Arid Land Geography, 2020, 43(6): 1593-1602.

参考文献 26

[1]	杜鹏, 夏斌, 杨蕾. 国家中心城市智能化发展评价指标体系研究 [J]. 科技进步与对策, 2013, 30(6): 108-112. [DU Peng, XIA Bin, YANG Lei. Study on the evaluation index system of intelligent city for national central cities[J]. Science & Technology Progress and Policy, 2013, 30(6): 108-112. ]
[2]	李霞, 戴胜利. 面向建设国家中心城市的智慧武汉发展评价及模式优化: 理论与实证[J]. 中国软科学, 2018(1): 77-89. [LI Xia, DAI Shengli. Research on development evaluation and mode opti⁃ mization of Smart Wuhan oriented to national central city: Theory and empirical analysis[J]. China Soft science, 2018(1): 77-89. ]
[3]	田美玲, 刘嗣明, 朱媛媛. 国家中心城市综合评价与实证研究 —— 以武汉市为例 [J]. 科技进步与对策, 2013, 30(11): 117- 121. [TIAN Meiling, LIU Siming, ZHU Yuanyuan. The comprehen⁃ sive evaluation and strategy of National Central Cities[J]. Science & Technology Progress and Policy, 2013, 30(11): 117-121. ]
[4]	郭志强, 吕斌. 国家中心城市竞争力评价[J]. 城市问题, 2018, 280(11): 30-38. [GUO Zhiqiang, LYU Bin. Competitiveness evalu⁃ ation of national central cities [J]. Urban Problems, 2018, 280 (11): 30-38. ]
[5]	ULLMAN E L. American commodity flow[M]. Seattle: University of Washington Press, 1957: 60-73.
[6]	TAAFFE E J . The urban hierarchy: An air passenger definition[J]. Economic Geography, 1962, 38(1): 1-14.
[7]	劳昕, 沈体雁, 杨洋, 等. 长江中游城市群经济联系测度研究 ——基于引力模型的社会网络分析[J]. 城市发展研究, 2016, 23(7): 91-98. [LAO Xin, SHEN Tiyan, YANG Yang, et al. A study on the economic network of the urban agglomeration in the middle reaches of the triangle of Central China: Based on social network analysis method with gravity model[J]. Urban Studies, 2016, 23(7): 91-98. ]
[8]	王明, 郑念. 城市群内部协同的圈层分化问题研究——基于“环长株潭城市群 ”的分析 [J]. 中国科技论坛, 2019, (8): 87- 94. [Wang Ming, Zheng Nian. The layer differentiation issue of inner economic cooperation in agglomeration: A case study of Changsha- Zhuzhou-Xiangtan City Group[J]. Forum on Science and Technolo⁃ gy in China, 2019, (8): 87-94. ]
[9]	虞文宝, 宋晓谕, 简富缋. 基于引力模型的丝绸之路经济带甘肃段节点城市空间发展战略[J]. 干旱区研究, 2017, 34(4): 921- 930. [YU Wenbao, SONG Xiaoyu, JIAN Fuhui. Spatial develop⁃ ment strategy of node cities along the Silk Road Economic Belt in Gansu Province based on gravity model[J]. Arid Zone Research, 2017, 34(4): 921-930. ]
[10]	李雪梅. 新疆绿洲城镇组群内部经济联系及空间差异测度研究 [J]. 干旱区地理, 2019, 42(1): 180-186. [LI Xuemei. Measuring of internal economic relation and space difference of oasis town groups in Xinjiang[J]. Arid Land Geography, 2019, 42(1): 180-186. ]
[11]	李博雅. 基于修正引力模型的山西省城市经济联系分析[J]. 经济问题, 2018, (7): 116-122. [LI Boya. Analysis of urban econom⁃ ic connections in Shanxi Province: Based on modified gravity mod⁃ el[J]. On Economic Problems, 2018, (7): 116-122. ]
[12]	方超, 盛旗锋, 李少付. 基于引力模型的皖北城市经济联系研究 [J]. 地域研究与开发, 2018, (2): 25- 28, 35. [FANG Chao, SHENG Qifeng, LI Shaofu. Economic links between the cities in north Anhui based on gravity model[J]. Areal Research and Devel⁃ opment, 2018, (2): 25-28, 35. ]
[13]	刘建华, 李伟. 基于修正引力模型的中原城市群创新空间联系研究[J]. 地域研究与开发, 2019, 38(5): 63-68, 90. [LIU Jianhua, LI Wei. Spatio-temporal pattern evolution and driving factors of tour⁃ ism efficiency in northeast China[J]. Areal Research and Develop⁃ ment, 2019, 38(5): 63-68, 90. ]
[14]	蒋奕廷, 蒲波. 基于引力模型的成渝城市群吸引力格局研究[J]. 软科学, 2017, 31(2): 98-102. [JIANG Yiting, PU Bo. Analysis of attraction pattern in Chengdu-Chongqing urban agglomeration based on a gravity model[J]. Soft Science, 2017, 31(2): 98-102. ]
[15]	杨晓敏, 李玲琴, 付建新, 等. 30 a 青海省公路可达性及县域经济联系格局演化[J]. 干旱区地理, 2018, 41(6): 236-247. [YANG Xiaomin, LI lingqin, FU Jianxin, et al. Pattern variation of accessibili⁃ ty and economic linkage at county scale in Qinghai Province from 1986 to 2016[J]. Arid Land Geography, 2018, 41(6): 236-247. ]
[16]	杨文, 刘永功. 中国城市发展质量评价[J]. 城市问题, 2015, (2): 2-7. [YANG Wen, LIU Yonggong. Quality evaluation of urban de⁃ velopment in China [J]. Urban Problems, 2015, (2): 2-7. ]
[17]	赵正, 王佳昊, 冯骥. 京津冀城市群核心城市的空间联系及影响测度[J]. 经济地理, 2017, 37(6): 60-66. [ZHAO Zheng, WANG Ji⁃ ahao, FENG Ji. Research on the spatial correlation of central cit⁃ ies in Beijing-Tianjin-Hebei urban agglomeration[J]. Economic Ge⁃ ography, 2017, 37 (6): 60-66. ]
[18]	鲍超, 邹建军. 中国西北地区城镇化质量的时空变化分析[J]. 干旱区地理, 2019, 42(5): 1141-1152. [BAO Chao, ZHOU Jianjun. Spatiotemporal variations of urbanization quality in northwest Chi⁃ na[J]. Arid Land Geography, 2019, 42(5): 1141-1152. ]
[19]	陈彦光, 刘继生. 基于引力模型的城市空间互相关和功率谱分析——引力模型的理论证明、函数推广及应用实例[J]. 地理研究, 2002, 21(6): 742-752. [CHEN Yanguang, LIU Jisheng. Deriva⁃ tion and generalization of the urban gravitational model using frac⁃ tal idea with an application to the spatial cross-correlation between Beijing and Tianjin[J]. Geographical Research, 2002, 21(6): 742- 752. ]
[20]	ECKMANN M J, MCPHERSON J C. City size distribution in a cen⁃ tral place hierarchy: An alternative approach[J]. Journal of Region⁃ al Science, 2006, 10(1): 25-33.
[21]	田野, 罗静, 孙建伟, 等. 武汉城市圈内部空间联系及其轴-辐网络结构演化 [J]. 地理科学进展, 2019, 38(7): 1093- 1102. [TIAN Ye, LUO Jing, SUN Jianwei, et al. Urban spatial linkages and the hub- spoke network structure in the Wuhan metropolitan area[J]. Progress in Geography, 2019, 38 (7): 1093-1102. ]
[22]	闫卫阳, 王发曾, 秦耀辰. 城市空间相互作用理论模型的演进与机理[J]. 地理科学进展, 2009, 28(4): 511-518. [YAN Weiyang, WANG Fazeng, QIN Yaochen. Analysis of the principle and evolvement of the theoretic models of urban spatial interaction[J]. Progress in Geography, 2009, 28(4): 511-518. ]
[23]	孙伟, 闫东升, 吴加伟. 城市群范围界定方法研究——以长江三角洲城市群为例[J]. 地理研究, 2018, 37(10): 83-96. [SUN Wei, YAN Dongsheng, WU Jiawei. On the urban agglomeration scope definition method: A case study of the Yangtze River Delta[J]. Geo⁃ graphical Research, 2018, 37(10): 83-96. ]
[24]	王松茂, 徐宣国, 马江涛, 等. 新疆旅游经济网络特征的时空演变研究——基于修正的引力模型及社会网络分析[J]. 干旱区地理, 2020, 43(2): 458-465. [WANG Songmao, XU Xuanguo, MA Jiangtao. Spatial and temporal evolution of the tourism economy net⁃ work in Xinjiang: Based on modified gravity model and social net⁃ work analysis[J]. Arid Land Geography, 2020, 43(2): 458-465. ]
[25]	郭亮, 郑朝阳, 黄建中, 等. 基于通勤圈识别的大城市空间结构优化——以武汉市中心城区为例[J]. 城市规划, 2019, 43(10): 43-54. [GUO Liang, ZHENG Chaoyang, HUANG Jianzhong, et al. Spatial structure optimization of large cities based on commuter circle recognition: A case study of the Wuhan downtown[J]. City Planning Review, 2019, 43(10): 43-54. ]
[26]	WALLENSTEIN S, ZUCKER C L, FLEISS J L. Some statistical methods useful in circulation research[J]. Circulation Research, 1980, 47(1): 1.