How Green View Index Extracted from Street View Images Related to Pedestrians’ Perspective—Comparing Various Approaches and Identifying Influencing Factors
High eye-level greenness could bring multiple health benefits, and multiple kinds of street view images (SVI) have been widely used in measuring green view index (GVI). However, how street view image-based GVI (GVI_SVI) aligns with pedestrians’ perspective remains unknown. This study compared the GVI_SVI calculated using different SVI (view angle of 60°, view angle of 90°, panoramic) with the GVI computed using on-site taken photos imitating pedestrians’ perspective. The influences of road width and road greenery level are also examined in the comparison. The study was conducted in Yangpu district, Shanghai, China, and 194 sampling points on different types of roads with various greenery levels were involved in the study. The results indicated that GVI_SVI is significantly correlated to that from pedestrians’ perspective. GVI_SVI based on the SVI with a 60° field of view shows the smallest differences from that of pedestrians’ perspective. GVI_SVI for front and back views is closer to GVI of pedestrian’s perspective. GVI on wide roads, and streets with higher levels of greenery are more likely to be underestimated by GVI_SVI. This study explored how GVI_SVI may represent GVI from the pedestrians’ perspective as well as identified related factors. This study could provide valuable insights for the application of street view images in measuring street GVI.
Authors
- Jingyao Yu
- Binbin Fan (ORCID: https://orcid.org/0000-0003-2945-2273)
- Yujia Zhai (ORCID: https://orcid.org/0000-0002-7536-8374)
- Yimeng Li (ORCID: https://orcid.org/0000-0002-5823-039X)
- Xinyu Zhang (ORCID: https://orcid.org/0009-0004-0169-9914)
- Yang Xiao
Institutions
- Tongji University (CN)
- Shanghai Tongji Urban Planning and Design Institute (CN)
Publication Details
- Journal
- Land
- Published
- 2026-05-27
- DOI
- https://doi.org/10.3390/land15060917
- Primary Topic
- Urban Green Space and Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China