日本地球惑星科学連合2023年大会

講演情報

[E] 口頭発表

セッション記号 H (地球人間圏科学) » H-TT 計測技術・研究手法

[H-TT14] Geographic Information Systems and Cartography

2023年5月24日(水) 13:45 〜 15:00 201A (幕張メッセ国際会議場)

コンビーナ:小口 高(東京大学空間情報科学研究センター)、若林 芳樹(東京都立大学大学院都市環境科学研究科)、Yuei-An Liou(National Central University)、王 汝慈(千葉大学環境リモートセンシング研究センター)、座長:若林 芳樹(東京都立大学大学院都市環境科学研究科)、Yuei-An Liou(National Central University)


14:00 〜 14:15

[HTT14-07] 多様な環境指標からみた居住クオリティの空間的評価: 中国における三つの大都市密集域の比較研究

★招待講演

*劉 斐1Murayama Yuji2Masago Yoshifumi1 (1.National Institute for Environmental Studies, Japan、2.University of Tsukuba, Japan)

キーワード:環境要因、居住クオリティ、空間的評価、熱環境、都市密集域

With the drastic socioeconomic development, there is a pressing need for habitat-oriented cross-cutting solutions to address multiple challenges from different environmental dimensions, especially in urban agglomerations (UAs). This study put forward a research framework to evaluate the spatial interconnections and heterogeneities between various environmental indices and residential habitat quality from multi-perspective profiling. We integrated cartographic comparison, correlation analysis, local entropy model, and GeoDetector, comparing the three largest Chinese UAs, namely Beijing-Tianjin-Hebei (BTH), Greater Bay Area (GBA), and Yangtze River Delta (YRD).

The analysis showed solid spatial relationships between habitat quality and multifaceted environmental situations for the three UAs. Most regional landscapes in the three UAs displayed low-medium habitat quality, intersecting with severe consequences from thermal, air, living, and biological spheres. Overall, habitat quality in the three UAs was positively related to NDVI but negatively associated with surface heat island intensity, air pollution, and residential support. The local entropy maps highlighted spatial diversities and complex patterns of significant local heterogeneities and guided the analysis to focus on specific regions. The interaction of different environmental issues in the three UAs mutually affected the habitats, illustrating the compound environmental risks and the need for prioritizing decision-making processes. The findings of this study support the multi-dimensional sustainability and co-benefits sought by taking advantage of the relationships and interactions between habitats and diverse environmental issues in the UAs.