Author(s)

Da Mao^1*, ZhiYu Yuan¹, MengLei Zhao¹, HuaYu Fu²

Affiliation(s)

¹School of Horticulture and Landscape Architecture, Henan Institute of Science and Technology, Xinxiang 453003, Henan, China.

²Xinxiang Santian Landscape Engineering Co., Ltd., Xinxiang 453003, Henan, China.

Corresponding Author

Da Mao

ABSTRACT

This study investigates the spatial association between streetscape greenness (Green View Index, GVI) and park service evaluations in Zhengzhou, China, integrating multi-source geospatial data, including 131 park POIs and 23,866 street view images with a multi-zoning analytical framework (grid-based, radial-sector, and Voronoi zoning). Using spatial autocorrelation (Global/Local Moran’s I) and bivariate LISA cluster analyses, key findings include: (1) Radial-sector zoning outperformed other methods in capturing spatial heterogeneity; (2) High GVI clusters concentrated in the urban core, while top-rated parks exhibited concentric patterns, with low-value zones coupled at the periphery; (3) Significant synergy emerged between peak park ratings and mean GVI (I = 0.135–0.196), revealing asymmetric interactions. A three-tiered planning strategy is proposed: radial-sector green space allocation, targeted upgrades in mismatch zones, and flagship park-driven green networks. This research advances methodological innovation in green infrastructure optimization for urbanizing cities.

KEYWORDS

Streetscape; Green view index; Multi-zoning; Park service

CITE THIS PAPER

Da Mao, ZhiYu Yuan, MengLei Zhao, HuaYu Fu. Streetscape greenness and park service evaluation in Zhengzhou, China: a spatial multi-zoning perspective. Eurasia Journal of Science and Technology. 2025, 7(2): 63-71. DOI: https://doi.org/10.61784/ejst3077.

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