Identification of shrinkage patterns in Japan’s four major metropolitan areas based on nighttime light and population data

Hao Zheng, Runsen Zhang
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Abstract

Urban shrinkage has become a critical global issue, influencing the sustainable development of cities across social, economic, and environmental dimensions. In Japan, which is characterized by an aging population and low birth rate, this phenomenon has now extended to metropolitan areas, presenting new challenges for urban sustainability. Although many studies have been conducted regarding urban decline in rural regions, the shrinkage dynamics within Japan’s major cities are poorly understood. Addressing this knowledge gap is crucial for devising targeted urban-planning strategies that ensure the long-term viability of urban areas. Here, we integrated Suomi National Polar-orbiting Partnership–Visible Infrared Imager Radiometer Suite nighttime light data with WorldPop population data to examine the patterns of urban shrinkage from 2012 to 2020 in Japan’s four largest metropolitan areas: Tokyo, Osaka, Nagoya, and Fukuoka. Using Theil–Sen median trend analysis and K-means clustering, we developed a method to quantify both shrinking and growing areas within these regions. It was found that Tokyo exhibited the highest urban vitality, with minimal shrinkage, whereas Nagoya and Osaka faced greater declines. Fukuoka displayed a distinct east–west spatial pattern of urban shrinkage. This study introduces the “triple V” theory, which evaluates urban vitality through the lenses of robustness and activity levels. Our analysis highlights the spatial complexities of urban shrinkage, emphasizing the importance of region-specific urban planning. By providing new insights obtained from a data-driven analysis, we offer a framework for policymakers to promote sustainable urban development in the face of demographic and spatial challenges.

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基于夜间灯光和人口数据的日本四大大都市区收缩模式识别
城市萎缩已成为一个重要的全球性问题,影响着城市在社会、经济和环境方面的可持续发展。在以人口老龄化和低出生率为特征的日本,这种现象已经扩展到大都市地区,对城市的可持续性提出了新的挑战。尽管对农村地区的城市萎缩进行了许多研究,但对日本主要城市的收缩动态知之甚少。解决这一知识差距对于制定有针对性的城市规划战略,确保城市地区的长期生存能力至关重要。在这里,我们将Suomi国家极轨合作伙伴关系-可见光红外成像仪辐射计套件夜间灯光数据与WorldPop人口数据结合起来,研究了2012年至2020年日本四大大都市地区(东京、大阪、名古屋和福冈)的城市萎缩模式。利用Theil-Sen中位数趋势分析和K-means聚类,我们开发了一种量化这些区域内萎缩和增长区域的方法。结果发现,东京表现出最高的城市活力,收缩最小,而名古屋和大阪则面临更大的下降。福冈呈现出明显的东西向城市收缩空间格局。本研究引入了“三重V”理论,通过健壮性和活动水平来评估城市活力。我们的分析强调了城市收缩的空间复杂性,强调了区域特定城市规划的重要性。通过提供从数据驱动分析中获得的新见解,我们为政策制定者提供了一个框架,以促进面临人口和空间挑战的可持续城市发展。
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来源期刊
International journal of applied earth observation and geoinformation : ITC journal
International journal of applied earth observation and geoinformation : ITC journal Global and Planetary Change, Management, Monitoring, Policy and Law, Earth-Surface Processes, Computers in Earth Sciences
CiteScore
12.00
自引率
0.00%
发文量
0
审稿时长
77 days
期刊介绍: The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.
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