Academic Journal of Environment & Earth Science, 2025, 7(3); doi: 10.25236/AJEE.2025.070303.
Yangguang Song, Huakai Ye
Institute for Urban and Sustainable Development, City University of Macau, Macau, China
This study analyzes 254 Texan cities to explore how urban expansion patterns (enclave, infill, and sprawl) correlate with population change (ΔPop), economic growth (ΔGDP), and green space dynamics (ΔGreen). Results show: (1) Infill development positively correlates with GDP growth (r = 0.29, p < 0.001), indicating compact development enhances economic performance; (2) Urban sprawl negatively associates with green space preservation (ρ = -0.69, p < 0.001), suggesting low-density expansion worsens ecological fragmentation; (3) Both enclave and sprawl patterns hinder population agglomeration (β = -4.23×10⁵, -6.10×10⁵, p < 0.001), implying disordered expansion may cause residential dispersion. The findings offer quantitative insights for balancing spatial efficiency, economic vitality, and ecological sustainability in urban planning.
Urban Expansion Patterns; Spatial Heterogeneity; Economy-Space Synergy; Compact City; Ecological Resilience; Sustainable Development
Yangguang Song, Huakai Ye. Multidimensional Effects of Urban Expansion Patterns: An Empirical Study on Spatial Heterogeneity, Population Dynamics, and Economy-space Synergy in Texas. Academic Journal of Environment & Earth Science (2025), Vol. 7, Issue 3: 22-29. https://doi.org/10.25236/AJEE.2025.070303.
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