| 向心扩张指数构建及其在郑州都市圈城镇空间扩张中的应用 |
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| 引用本文： | 刘天禹,陈晓琳,李强,陈晋.向心扩张指数构建及其在郑州都市圈城镇空间扩张中的应用[J].地球信息科学,2022,24(9):1771-1784. |
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| 作者姓名： | 刘天禹 陈晓琳 李强 陈晋 |
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| 作者单位： | 北京师范大学地理科学学部,北京 100875 |
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| 基金项目： | 科技基础资源调查专项(2019FY202502) |
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| 摘 要： | 探究城镇空间扩张的方向性及其时间变化特征,能够反映都市圈发展过程中核心城市与边缘地区空间关联的动态过程,为制定都市圈发展的相关政策提供科学依据。本文从都市圈的核心城市与边缘地区相互关联的视角,借鉴物理学中力的分解原理,构建了同时兼顾扩张强度和方向性的向心扩张指数CEI,并以郑州都市圈为对象,采用2000—2018年30 m分辨率的全球人造不透水面数据产品GAIA,分析了建设用地扩张的总体数量和占比变化、动态度及强度变化、以及空间方向性变化等特征,进一步应用多元逻辑回归模型,揭示了影响城镇空间扩张向心性的关键因素。结果表明：① 向心扩张指数CEI为揭示都市圈核心城市对边缘地区的辐射带动作用提供方法支撑,能够定量刻画边缘地区朝向核心城市的发展趋势;② 在郑州都市圈近20年的快速扩张过程中,尽管各区县市的DEI指数和CEI指数随时间而增减波动,但郑州都市圈总体呈现“核心—边缘”发展模式,除个别地级市中心城区及其下辖县以外,多数区县市的向心性显著且随时间增强,郑州市中心城区对于边缘地区具有显著的辐射带动作用;③ 核心城市与边缘地区的人均GDP差异及城镇化率差异是影响边缘地区向心扩张的重要因素,与核心城市是否相邻、行政隶属关系及行政等级也对向心扩张具有一定影响。
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| 关 键 词： | 城镇扩张 向心扩张指数 不透水面 郑州都市圈 多元逻辑回归模型 |
| 收稿时间： | 2022-01-21 |
The Centripetal Expansion Index and Its Application in Urban Spatial Expansion in Zhengzhou Metropolitan Area |
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| LIU Tianyu,CHEN Xiaolin,LI Qiang,CHEN Jin.The Centripetal Expansion Index and Its Application in Urban Spatial Expansion in Zhengzhou Metropolitan Area[J].Geo-information Science,2022,24(9):1771-1784. |
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| Authors: | LIU Tianyu CHEN Xiaolin LI Qiang CHEN Jin |
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| Institution: | Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China |
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| Abstract: | Exploring the urban spatial expansion and temporal change in metropolitan areas can reflect the dynamic spatial relationship between the core city and the peripheral areas. It can provide a scientific basis for formulating guidelines and policies for metropolitan areas. Considering the association between the core city and the peripheral areas in a metropolitan area, the paper constructs the Centripetal Expansion Index (CEI), which includes the expansion intensity and direction. Using the global artificial impervious layer data product (i.e., GAIA), this paper analyzes the expansion characteristics of urban development area of cities and towns in Zhengzhou metropolitan area from 2000 to 2018. And using the multiple logistic regression model, the paper further analyzes the factors that affect the centripetal expansion of cities and towns. The results show that: (1) The CEI provides a method support for revealing the effect of core city on the peripheral areas and measuring the expanding trend of the peripheral areas towards core city in metropolitan areas; (2) The Zhengzhou metropolitan area has experienced rapid spatial expansion in the past 20 years. Though the DEI index and CEI index of the peripheral areas fluctuate over time, Zhengzhou metropolitan area has a core-periphery development pattern. Most of the peripheral areas except the central urban areas of individual prefecture-level cities and their subordinate counties, are significantly centripetal and increase over time. The core city has a significant effect on the peripheral areas; (3) The differences in both per capita GDP and urbanization rate between core city and the peripheral areas are important factors influencing the centripetal expansion of the peripheral areas, while administrative affiliation, administrative rank, and proximity to core city also have influence on centripetal expansion. |
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| Keywords: | urban expansion centripetal expansion index artificial impervious layer Zhengzhou metropolitan area multiple logistic regression model |
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