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首页> 外文期刊>Remote Sensing >Mapping Development Pattern in Beijing-Tianjin-Hebei Urban Agglomeration Using DMSP/OLS Nighttime Light Data
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Mapping Development Pattern in Beijing-Tianjin-Hebei Urban Agglomeration Using DMSP/OLS Nighttime Light Data

机译:DMSP / OLS夜间光数据绘制京津冀城市群发展格局

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Spatial inequality of urban development may cause problems like inequality of living conditions and the lack of sustainability, drawing increasing academic interests and societal concerns. Previous studies based on statistical data can hardly reveal the interior mechanism of spatial inequality due to the limitation of statistical units, while the application of remote sensing data, such as nighttime light (NTL) data, provides an effective solution. In this study, based on the DMSP/OLS NTL data, the urbanization type of all towns in the Beijing-Tianjin-Hebei urban agglomeration was analyzed from the aspects of development level and speed. Meanwhile, spatial cluster analysis of development level by local Moran’s I was used to explore spatial inequality, and the trend was discussed by comparing the development characteristics on both sides of the transition line of different development levels (inequality boundary). The results showed that the development level of the whole region increased dramatically as the mean DN value increased by 65.99%, and 83.72% of the towns showed a positive development during 2000–2012. The spatial distribution of urbanization types showed that Beijing and Tianjin were at a high urbanization level with rapid speed of development, with the southern region having a medium development level and the northwestern region lagging behind. The spatial cluster analysis also revealed a gradually intensifying trend of inequality as the number of towns with balanced development reduced by 319 during 2000–2012, while the towns in the high-high areas increased by 99 and those in the low-low areas increased by 229. Moreover, the development speed inside the inequality boundary was obviously higher than that outside, indicating an increasingly serious situation for spatial inequality of urban development in the whole region.
机译:城市发展的空间不平等可能会引起诸如生活条件不平等和缺乏可持续性之类的问题,引起越来越多的学术兴趣和社会关注。由于统计单位的限制,基于统计数据的先前研究几乎无法揭示空间不平等的内部机制,而遥感数据(例如夜间光(NTL)数据)的应用提供了有效的解决方案。本文以DMSP / OLS NTL数据为基础,从发展水平和发展速度两方面分析了京津冀城市群中所有城镇的城镇化类型。同时,利用局部Moran's I对发展水平的空间聚类分析来探索空间不平等,并通过比较不同发展水平(不平等边界)的过渡线两侧的发展特征来讨论趋势。结果表明,整个区域的发展水平显着提高,平均DN值增加了65.99%,而2000-2012年间有83.72%的城镇呈现出正向发展。城市化类型的空间分布表明,北京和天津处于较高的城市化水平,发展速度较快,南部地区中等水平,西北地区落后。空间聚类分析还显示出不平等现象的趋势逐渐加剧,在2000-2012年间,均衡发展的城镇数量减少了319个,高高地区的城镇增加了99个,低低地区的城镇增加了30个。 229.此外,不平等边界内的发展速度明显高于外部边界,这表明整个区域城市发展的空间不平等状况日益严重。

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