PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 18, 2026Land0 citationsOpen Access

Spatial Differentiation of Thermal–Ecological Environmental Responses in High-Density Central Subway-Hub Blocks and Their Associations with Built-Environment Characteristics

View Full Paper
GWGuohua WangXCXu CuiYXYao Xu

Key Points

  • The research aims to explore the relationship between built-environment features and environmental responses in high-density subway-hub blocks.
  • Constructed a 'pressure–context–carrier–response' (PCRC) framework to analyze correlations.
  • Examined the influence of socio-economic factors on green-space resource allocations.
  • Applied statistical analysis to evaluate environmental performance metrics such as NDVI and LST.
  • Key findings indicate that affluent blocks have a significant advantage in resource distributions.
  • Green space allocations displayed asymmetric differentiation across different block types.
  • The study found statistical convergence in thermo-ecological responses, suggesting complexity in transforming resource input to efficiency.

Abstract

Subway-hub blocks are critical areas where the pressures of metropolitan populations and environmental quality are closely interconnected. This study constructs a “pressure–context–carrier–response” (PCRC) framework (F1–F7) to systematically reveal the correlations between built-environment characteristics and environmental performance. The results demonstrate that resource allocation (F7) and comprehensive response (F5) display notable “asymmetric differentiation”. The socio-economic environment (F2, F3) considerably influences the concentration of green-space resource allocations (F7) (p < 0.01), with affluent blocks demonstrating a clear advantage in resource distribution. The thermo-ecological composite response (F5), which includes NDVI and LST, demonstrates “statistical convergence” (p = 0.894) across various block types, indicating that resource inputs cannot be linearly transformed into environmental efficiency. This disconnection is ascribed to two physical limitations: firstly, the stochastic nature of spatial distribution (Global Moran’s I ≈ 0) restricts the scale effects of green spaces; secondly, the nonlinear limitations of the physical medium indicate that under conditions of high pressure load (F1) and elevated spatial capacity (F6), the regulatory effectiveness of greening demonstrates a significant diminishing marginal return effect. Therefore, intervention planning must shift from controlling macro-level indicators to optimising micro-level accuracy to address ecological performance constraints in densely populated metropolitan areas.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/69e320e740886becb6540187https://doi.org/10.3390/land15040658
Ask AI
Helpful
Bookmark
Share
View Full Paper