Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Faculty of Engineering and Design, Kagawa University, 2217-20 Hayashi-Cho, Takamatsu, Kagawa, 761-0396, Japan.
Sci Rep. 2023 May 31;13(1):8804. doi: 10.1038/s41598-023-36082-8.
Understanding the spatial structure of a city is essential for formulating a spatial strategy for that city. In this study, we propose a method for analyzing the functional spatial structure of cities based on satellite remote sensing data. In this method, we first assume that urban functions consist of residential and central functions, and that these functions are measured by trip attraction by purpose. Next, we develop a model to explain trip attraction using remote sensing data, and estimate trip attraction on a grid basis. Using the estimated trip attraction, we created a contour tree to identify the spatial extent of the city and the hierarchical structure of the central functions of the city. As a result of applying this method to the Tokyo metropolitan area, we found that (1) our method reproduced 84% of urban areas and 94% of non-urban areas defined by the government, (2) our method extracted 848 urban centers, and their size distribution followed a Pareto distribution, and (3) the top-ranking urban centers were consistent with the districts defined in the master plans for the metropolitan area. Based on the results, we discussed the applicability of our method to urban structure analysis.
理解城市的空间结构对于制定城市的空间战略至关重要。在本研究中，我们提出了一种基于卫星遥感数据分析城市功能空间结构的方法。在该方法中，我们首先假设城市功能由居住功能和中心功能组成，并且这些功能通过出行目的吸引力来衡量。接下来，我们开发了一个使用遥感数据解释出行吸引力的模型，并在栅格基础上估计出行吸引力。使用估计的出行吸引力，我们创建了一个等高线树来识别城市的空间范围和城市中心功能的层次结构。将该方法应用于东京都市区的结果表明：（1）我们的方法再现了政府定义的 84%的城市区域和 94%的非城市区域；（2）我们的方法提取了 848 个城市中心，其大小分布遵循帕累托分布；（3）排名靠前的城市中心与大都市区总体规划中定义的区一致。基于这些结果，我们讨论了该方法在城市结构分析中的适用性。
