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A constraint-based approach for identifying the urban–rural fringe of polycentric cities using multi-sourced data
International Journal of Geographical Information Science ( IF 5.7 ) Pub Date : 2021-02-05 , DOI: 10.1080/13658816.2021.1876236
Jing Yang 1, 2, 3 , Jingwen Dong 1, 2, 3 , Yizhong Sun 1, 2, 3 , Jie Zhu 1, 4 , Yi Huang 1, 2, 3 , Sheng Yang 1, 2, 3
Affiliation  

ABSTRACT

Studies on urban–rural fringes, which represent regions facing various urbanization problems caused by rapid expansion, have steadily increased in recent years. However, problems persist in the quantitative delimitation of such regions. Based on the characteristics of abrupt urbanization-level changes in urban–rural fringe areas, we propose a constraint-based method in this study to detect the urban–rural fringes of cities with a spatial polycentric structure of ‘Main center–Subcenter’ based on data from multiple sources. We used the proposed approach to delimitate the fringe areas of Jiangyin and Zhangjiagang and identify their urban main center and subcenter pre-defined by their city master plans, towns, and rural hinterlands. Comparison of the identified results of different single urbanization indices, a single detection center, kernel density estimation, and a single constraint revealed that the patch density and Shannon’s diversity index of the proposed method were higher in urban–rural fringes and smaller in city centers and rural hinterlands. This suggests that the landscape of urban–rural fringes delimitated by the proposed method is more fragmented, diverse, and complicated, thereby performing better. This study is significant for future urban spatial analysis, planning, and management.



中文翻译:

使用多源数据识别多中心城市城乡边缘的基于约束的方法

摘要

近年来,对城乡结合部的研究稳步增加,这些研究代表了因快速扩张而面临各种城市化问题的地区。然而,在对这些区域进行定量划界方面仍然存在问题。针对城乡边缘地区城市化水平突变的特点,本研究提出了一种基于约束的方法来检测具有“主中心-副中心”空间多中心结构的城市的城乡边缘来自多个来源的数据。我们使用建议的方法划定了江阴和张家港的边缘地区,并确定了它们的城市主中心和副中心,这些中心和副中心由城市总体规划、城镇和农村腹地预先确定。不同单一城市化指标、单一检测中心的识别结果对比 核密度估计和单一约束表明,该方法的斑块密度和香农多样性指数在城乡边缘较高,而在城市中心和农村腹地较小。这表明所提出的方法划定的城乡边缘景观更加分散、多样和复杂,从而表现更好。本研究对未来的城市空间分析、规划和管理具有重要意义。

更新日期:2021-02-05
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