The Development of comprehensive evaluation indicators of street greenery and the identification of priority greening Areas: Providing more accurate greening planning

• Construct a street greenery indicator by integrating SVI and remote sensing data. • The SGCEI broad the view of street greenery compared to the GVI. • Quantify accessibility for pedestrians and vehicles on various path preferences. • Identify priority greening areas by overlaying SGCEI with two-scale accessibility. Appropriate greening planning is crucial for improving urban quality of life and well-being. However, current greening assessment methods often focus on a single perspective, limiting the ability to integrate overhead top-down and street-level views for refined street-view planning. This study introduces the Street Greenery Comprehensive Evaluation Indicator (SGCEI) by combing street view imagery (SVI) with remote sensing data. Coupled with street accessibility at two scales, SGCEI helps identify priority greenery areas for urban planning. Taking Beijing’s Sixth Ring Road as a study area, the results show that: (1) SGCEI improves the Green View Index (GVI) by reducing occlusion effects, providing a more accurate assessment of street greenery. (2) Street accessibility, at both the pedestrian and vehicle scales, is highest within the inner ring roads and lower in the outer ring roads, with significant overlap in high-value areas. (3) SGCEI identifies priority greenery areas for 25% of the samples, offering better spatial aggregation and continuity than GVI. High-priority areas are primarily located within the Fourth Ring Road, while lower priority areas outside this boundary form distinct clusters. This method more accurately reflects the true quality of street greenery and offers valuable data and theoretical support for refining urban greening plans.

Authors

Institutions

Publication Details

Journal
Ecological Indicators
Published
2024-09-23
DOI
https://doi.org/10.1016/j.ecolind.2024.112630
Citations
5
Primary Topic
Urban Green Space and Health
Type
article
Field-Weighted Citation Impact
1.57
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Development of comprehensive evaluation indicators of street greenery and the identification of priority greening Areas: Providing more accurate greening planning

Tiange Zhang, Hao Wang, Xiuce Yang, Xiaogang Ning et al.
5 citations
Ecological Indicators
Urban Green Space and Health
1.57
article

The Development of comprehensive evaluation indicators of street greenery and the identification of priority greening Areas: Providing more accurate greening planning

Tiange Zhang, Hao Wang, Xiuce Yang, Xiaogang Ning, Yongqiang Wei, Guangzhe Li
article en
5 citations

Abstract

• Construct a street greenery indicator by integrating SVI and remote sensing data. • The SGCEI broad the view of street greenery compared to the GVI. • Quantify accessibility for pedestrians and vehicles on various path preferences. • Identify priority greening areas by overlaying SGCEI with two-scale accessibility. Appropriate greening planning is crucial for improving urban quality of life and well-being. However, current greening assessment methods often focus on a single perspective, limiting the ability to integrate overhead top-down and street-level views for refined street-view planning. This study introduces the Street Greenery Comprehensive Evaluation Indicator (SGCEI) by combing street view imagery (SVI) with remote sensing data. Coupled with street accessibility at two scales, SGCEI helps identify priority greenery areas for urban planning. Taking Beijing’s Sixth Ring Road as a study area, the results show that: (1) SGCEI improves the Green View Index (GVI) by reducing occlusion effects, providing a more accurate assessment of street greenery. (2) Street accessibility, at both the pedestrian and vehicle scales, is highest within the inner ring roads and lower in the outer ring roads, with significant overlap in high-value areas. (3) SGCEI identifies priority greenery areas for 25% of the samples, offering better spatial aggregation and continuity than GVI. High-priority areas are primarily located within the Fourth Ring Road, while lower priority areas outside this boundary form distinct clusters. This method more accurately reflects the true quality of street greenery and offers valuable data and theoretical support for refining urban greening plans.

Ecological IndicatorsVol. 167
Chinese Academy of Surveying and Mapping (CN), Xi'an Railway Survey and Design Institute (CN), Shandong University of Science and Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 18%
Urban Green Space and Health
1.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.