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| 城乡融合背景下半城市化地区识别与演变研究——以苏州市为例 | |
| 引用本文： | 廖霞,舒天衡,申立银,任一田,杨楠.城乡融合背景下半城市化地区识别与演变研究——以苏州市为例[J].地理科学进展,2021,40(11):1847-1860. |
| 作者姓名： | 廖霞 舒天衡 申立银 任一田 杨楠 |
| 作者单位： | 1. 中国科学院地理科学与资源研究所,北京 100101 2. 中国科学院大学资源与环境学院,北京 100049 3. 清华大学建筑学院,北京 100084 4. 重庆大学管理科学与房地产学院,重庆 400045 5. 曼彻斯特大学规划与环境管理系,英国 曼彻斯特 M13 9PL 6. 复旦大学国际关系与公共事务学院,上海 200433 |
| 基金项目： | 国家自然科学基金创新研究群体项目(42121001) |
| 摘 要： | 半城市化地区作为城乡景观混杂交错、城乡功能相互渗透的过渡性地域,推进这类地区的良性发展是促进城乡融合发展的关键。对半城市化地区空间范围的精确识别是对其实施精准管控的基础前提,对半城市化地区演变规律的科学把脉可为其未来的发展规划提供重要参考。然而,由于半城市化地区的复杂性、动态性和模糊性,目前对该类地区的精细尺度定量识别研究不多。基于此,论文综合考虑半城市化地区的复杂多维特征,在多源遥感数据支持下,建立了一种高精度的半城市化地区识别方法体系：① 构建了一套覆盖社会经济和空间格局2大维度的半城市化地区识别综合指标体系;② 运用空间网格化技术和线性加权建立了半城市化特征值的计算方法; ③ 结合滑动t检验与概率密度分析实现了半城市化特征临界值的确定。最后以苏州市为实例,运用建立好的方法体系,在1 km×1 km尺度下识别出了该市2010、2015和2018年的半城市化地区空间范围,并在此基础上进一步探讨了其时空演变规律,以期为苏州市以及其他地区未来的城市化进程提供参考。实证结果显示,苏州市的半城市化地区在空间上围绕中心城区不连续分布,在时间上总体呈现减少趋势,尤其是2015—2018年间下降幅度明显,表明苏州市城镇化发展趋于有序,乡村工业化与城市的无序蔓延有所放缓。 |
| 关 键 词： | 半城市化地区 城乡融合 时空演变 滑动t检验 苏州市 |
| 收稿时间： | 2020-11-30 |
| 修稿时间： | 2021-07-05 |
Identification and evolution of peri-urban areas in the context of urban-rural integrated development:A case study of Suzhou City |
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| LIAO Xia,SHU Tianheng,SHEN Liyin,REN Yitian,YANG Nan.Identification and evolution of peri-urban areas in the context of urban-rural integrated development:A case study of Suzhou City[J].Progress in Geography,2021,40(11):1847-1860. | |
| Authors: | LIAO Xia SHU Tianheng SHEN Liyin REN Yitian YANG Nan |
| Abstract: | Peri-urban areas are transitional urban areas with urban-rural mixed landscape and functions, and the positive change of peri-urban areas is essential to achieve the mission of urban-rural integrated development. The accurate identification of the spatial scope of peri-urban areas is a prerequisite for managing such areas, and a scientific understanding of the change of peri-urban areas can provide important references for its future development. However, due to the high complexity, dynamics, and fuzzy boundary of peri-urban areas, there is still little progress in fine-scale and quantitative identification of such areas. Under such backgroud, this study established a methodology for identifying peri-urban areas supported by remote sensing data, comprehensively considering the complexity and multi-dimensional characteristics of peri-urban areas. First, a comprehensive indicator system across socioeconomic and spatial pattern dimensions was established. Second, a measurement for peri-urban index was developed by using spatial gridding and linear weighting methods. Third, combined with the moving t-test and probability density analysis, the threshold for distinguishing peri-urban areas and non-peri-urban areas was determined. Finally, taking Suzhou City as a case, the peri-urban areas of the city in 2010, 2015, and 2018 were identified at the 1 km × 1 km scale. On this basis, the pattern of change of Suzhou's peri-urban areas was further discussed. It is expected that the research results can provide some references for future urbanization process of Suzhou City and other regions. The case results show that the peri-urban areas of Suzhou are spatially discontinuously distributed around the central urban district, and temporally experience a decreasing trend, especially during the period of 2015 to 2018, which indicates that the urbanization process of Suzhou City tends to be under control, and the city's rural industrialization and urban sprawl have slowed down. |
| Keywords: | peri-urban areas urban-rural integrated development spatiotemporal evolution moving t-test Suzhou City |
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