结合夜光遥感的成渝城市群城市经济发展特征变化分析

doi:10.6046/zrzyyg.2023159

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为解决传统经济数据缺乏空间信息、难以反映区域经济发展的空间差异性及动态变化特征等问题,利用夜间灯光数据结合土地利用数据、社会经济数据,构建成渝地区国内生产总值(gross domestic product,GDP)空间化模型,使用趋势分析、修正引力模型等方法,在像元尺度和经济关联性上对成渝地区经济发展特征进行分析。结果表明: 基于多源数据所构建的GDP空间化模型精度较高,其误差均不超过1.1%; 成渝地区GDP密度快速增长的区域主要位于成都市和重庆市主城区周围,其占比约为73.9%,且经济集聚特征较明显的地区仍主要分布于该区域; 成渝地区城市间的经济关联强度不断加深,城市综合发展质量稳步提升,成都市与其周边城市的经济联系最为密切。综合来看,成渝地区区域内经济呈现出“双核驱动发展”的空间特征,经济关联强度逐渐增强。研究可为成渝城市群经济高质量发展提供数据支持和方法依据。

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	牛振生
	杨鑫
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	廖祥
	张小轩

关键词 ： NPP/VIIRS夜间灯光数据, GDP空间化, 成渝城市群, 修正引力模型, 经济发展

Abstract：

To resolve the limitations of traditional economic data such as the lack of spatial information and the difficulty in capturing the spatial disparities and dynamic patterns of regional economic development, this study integrated nighttime light data with land use and socio-economic data to develop a spatialized gross domestic product (GDP) model for the Chengdu-Chongqing region. Using trend analysis and a modified gravity model, this work analyzes the economic development characteristics of the region at the pixel level and in terms of inter-city economic relationships. The results indicate that the spatialized GDP model, constructed from multiple data sources, demonstrated high accuracy, with errors not exceeding 1.1%. The areas with the fastest GDP density growth in the Chengdu-Chongqing region are mainly concentrated around the core urban areas of Chengdu and Chongqing, accounting for approximately 73.9% of the total. These areas also show pronounced economic agglomeration characteristics. The inter-city economic relationships in the Chengdu-Chongqing region are continually strengthening, and the overall quality of urban development is steadily improving. Chengdu, in particular, has the closest economic ties with its neighboring cities. Overall, the Chengdu-Chongqing regional economy exhibits a spatial pattern of “dual-core driven development”, with the intensity of inter-city economic relationships continuing to strengthen. This study will provide valuable data support and methodological insights for promoting the high-quality economic development of the Chengdu-Chongqing urban agglomeration.

Key words： NPP/VIIRS night light data GDP spatialization Chengdu-Chongqing urban agglomeration modified gravity model economic development

收稿日期: 2023-06-02 出版日期: 2024-12-23

ZTFLH:	TP79
	P237

基金资助:国家自然科学基金项目“风沙区超大工作面岩土体协同形变特征与机理研究”(42007424)

通讯作者: 杨鑫(1984-),男,博士,副教授,研究方向为“3S”技术在地学中的应用。Email: yangxin2012@cdut.edu.cn。

作者简介: 牛振生(1998-),男,硕士研究生,研究方向为夜光遥感理论及应用。Email: 276140764@qq.com。

引用本文:

牛振生, 杨鑫, 陈超, 廖祥, 张小轩. 结合夜光遥感的成渝城市群城市经济发展特征变化分析[J]. 自然资源遥感, 2024, 36(4): 272-281.
NIU Zhensheng, YANG Xin, CHEN Chao, LIAO Xiang, ZHANG Xiaoxuan. Analysis of changes in the economic development characteristics of the Chengdu-Chongqing urban agglomeration using remote sensing data on nighttime light. Remote Sensing for Natural Resources, 2024, 36(4): 272-281.

链接本文:

https://www.gtzyyg.com/CN/10.6046/zrzyyg.2023159 或 https://www.gtzyyg.com/CN/Y2024/V36/I4/272

Fig.1 研究区2020年夜间灯光辐射值及地形分布

Fig.2 耕地与林地面积之和与GDP₁的回归分析拟合结果

Tab.1 3种灯光指数与GDP₂₃的拟合关系

Fig.3 夜间灯光指数TNL与GDP₂₃的回归分析拟合结果

Fig.4 成渝地区GDP密度空间分布

Fig.5 各市GDP预测值与GDP实际值的相对误差

Fig.6 GDP预测值与GDP实际值拟合情况

Fig.7 2014—2020年GDP分布演变趋势

Tab.2 Slope等级划分标准及各部分占比

Fig.8 成渝地区2014年、2017年、2020年各市NLDI结果

Fig.9 2014—2020年成渝城市群M及其占比

Fig.10-1 成渝地区城市经济关联强度

Fig.10-2 成渝地区城市经济关联强度

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