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2020 , Vol. 43 >Issue 6: 1593 - 1602

DOI: https://doi.org/10.12118/j.issn.1000-6060.2020.06.21

关中平原城市群中心城市空间联系强度研究

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  • 西安建筑科技大学公共管理学院，陕西 西安 710055
李从容（1970-），女，陕西西安人，博士，教授，研究方向为城市管理. E-mail: 18074416877@163.com

收稿日期: 2019-11-05

  修回日期: 2020-06-28

  网络出版日期: 2020-11-25

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Spatial connection intensity of central cities in Guanzhong Plain City Group

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  • School of Public Administration, Xi’an University of Architectural Science and Technology, Xi’an 710000, Shaanxi, China

Received date: 2019-11-05

  Revised date: 2020-06-28

  Online published: 2020-11-25

Supported by

陕西省软科学研究计划项目（2020KRM189）；西安市软科学研究项目（2017110SF/RK004-1）；共青团中央青少年发展研究项目（19YB082）

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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

本文引用格式

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 . DOI: 10.12118/j.issn.1000-6060.2020.06.21

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

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