SavedAdd your journal

Journals / GRID - Mimarlık Planlama ve Tasarım Dergisi / 2026 / Cilt: 8 Sayı: 1

Examining the Change of Green View Index (GVI) at Street Eye-Level with GSV and YSV

Sokak Seviyesindeki Yeşil Görünürlük İndeksinin(GVI) GSV ve YSV ile Değişiminin İncelenmesi

Pınar Özyılmaz Küçükyağcı(Gebze Teknik Üniversitesi)0000-0002-7045-7722
Pages
263–282
Publication Date
2025-04-29
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It was determined that the green area in the street texture affected by urban transformation decreased, and it was seen that the greenness at the street level can be measured and evaluated through web-based tools.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Street-level green areas play a critical role in the visual quality of urban landscapes.
📊
Key Findings & Data:Using this advantage, the Green View Index (GVI) was calculated for selected streets in Kadıköy district of Istanbul, and the change in greenness in the street texture between 2011-2020/2023 was evaluated.
💡
Conclusion & Impact:It was determined that the green area in the street texture affected by urban transformation decreased, and it was seen that the greenness at the street level can be measured and evaluated through web-based tools.
🔬Design:Araştırma Makalesi
📍Scope:2011-2020 Verileri
⚙️Variables:sokak seviyesi · kentsel yeşil · yeşil görünürlük indeksi

Abstract

Street-level green areas play a critical role in the visual quality of urban landscapes. Information on these changing live landscape elements can be obtained from street-level images of web-based tools and evaluated in terms of visual impact quality. This assessment can include information on street-level green areas in urban landscape planning and management. This study used street-level images of Google Street View and Yandex Street View to evaluate urban green. Advantageously, GSV and YSV are tools that can provide street-level profile views of urban green. Using this advantage, the Green View Index (GVI) was calculated for selected streets in Kadıköy district of Istanbul, and the change in greenness in the street texture between 2011-2020/2023 was evaluated. It was determined that the green area in the street texture affected by urban transformation decreased, and it was seen that the greenness at the street level can be measured and evaluated through web-based tools.

Özet

Sokak seviyesindeki yeşil alanlar, kentsel peyzajların görsel kalitesinde kritik bir rol oynamaktadır. Bu değişen canlı peyzaj elemanlarına ilişkin bilgiler, web tabanlı araçların sokak seviyesindeki görüntülerinden elde edilebilmekte ve görsel etki kalitesi açısından değerlendirilebilmektedir. Bu değerlendirme, kentsel peyzaj planlama ve yönetiminde sokak seviyesi yeşil alan bilgilerine dahil edilebilmektedir. Bu çalışmada, kentsel yeşili değerlendirmek için Google Sokak Görünümü (GSV) ve Yandex Sokak Görünümü'nün (YSV) sokak seviyesi görüntüleri kullanılmıştır. GSV ve YSV'nin kentsel yeşilin sokak seviyesi profil görünümlerini sağlayabilen araçlar olması avantajlıdır. Bu avantaj kullanılarak, çalışmada İstanbul'un Kadıköy ilçesinden seçilen sokaklar için Yeşil Görünüm Endeksi (GVI) hesaplanmış ve 2011-2020/2023 yılları arasında sokak dokusundaki yeşilin değişimi değerlendirilmiştir. Kentsel dönüşümden etkilenen sokak dokusundaki yeşil alanın azaldığı tespit edilmiştir ve sokak düzeyindeki yeşilliğin web tabanlı araçlar aracılığıyla ölçülüp değerlendirilebileceği görülmüştür.

🔖

Cite This Article

Küçükyağcı, P. Ö. (2025). Examining the Change of Green View Index (GVI) at Street Eye-Level with GSV and YSV. GRID - Mimarlık Planlama ve Tasarım Dergisi, Cilt: 8 Sayı: 1, 263–282. https://doi.org/10.37246/grid.1489530

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (41)

  1. Aksu, A., & Yılmaz, H. (2018). Atatürk Üniversitesi Merkezi Açık-Yeşil Alandaki Fiziki Değişim Memnuniyetinin Belirlenmesi. Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 8(2), 231–237. https://doi.org/10.21597/JIST.428384
  2. Berkmen, N. H., & Turgut, S. (2019). Kentsel Dönüşüm Kıskacında “Bağdat Caddesi.” Megaron, 14(1), 155–166. https://doi.org/10.14744/MEGARON.2019.35467
  3. Biljecki, F., & Ito, K. (2021). Street view imagery in urban analytics and GIS: A review. Landscape and Urban Planning, 215, 104217. https://doi.org/10.1016/J.LANDURBPLAN.2021.104217
  4. Bowler, D. E., Buyung-Ali, L., Knight, T. M., & Pullin, A. S. (2010). Urban greening to cool towns and cities: A systematic review of the empirical evidence. Landscape and Urban Planning, 97(3), 147–155. https://doi.org/10.1016/J.LANDURBPLAN.2010.05.006
  5. Bratman, G. N., Hamilton, J. P., & Daily, G. C. (2012). The impacts of nature experience on human cognitive function and mental health. Annals of the New York Academy of Sciences, 1249(1), 118–136. https://doi.org/10.1111/J.1749-6632.2011.06400.X
  6. Camacho-Cervantes, M., Schondube, J. E., Castillo, A., & MacGregor-Fors, I. (2014). How do people perceive urban trees? Assessing likes and dislikes in relation to the trees of a city. Urban Ecosystems, 17(3), 761–773. https://doi.org/10.1007/S11252-014-0343-6
  7. Cüce, B., & Ortaçeşme, V. (2020). Kentsel Yeşil Alanlarda Erişilebilirlik. PEYZAJ, 2(2), 65–77. https://dergipark.org.tr/tr/pub/peyzaj/issue/58728/708433
  8. Daniels, B., Zaunbrecher, B. S., Paas, B., Ottermanns, R., Ziefle, M., & Roß-Nickoll, M. (2018). Assessment of urban green space structures and their quality from a multidimensional perspective. Science of The Total Environment, 615, 1364–1378. https://doi.org/10.1016/J.SCITOTENV.2017.09.167
  9. Ewing, R., & Handy, S. (2009). Measuring the Unmeasurable: Urban Design Qualities Related to Walkability. Journal of Urban Design, 14(1), 65–84. https://doi.org/10.1080/13574800802451155
  10. Ezcurra, E. (1991). De las chinampas a la megalópolis: el medio ambiente en la Cuenca de México.
  11. Falfán, I., Muñoz-Robles, C. A., Bonilla-Moheno, M., & MacGregor-Fors, I. (2018). Can you really see ‘green’? Assessing physical and self-reported measurements of urban greenery. Urban Forestry & Urban Greening, 36, 13–21. https://doi.org/10.1016/J.UFUG.2018.08.016
  12. Gercek, D., & Talih Guven, I. (2017). Evaluating The Sufficiency, Accessibility and Integrity of Green Spaces in Urban Environments. Araştırma Makalesi Journal of Engineering Sciences and Design, 5(2), 393–397. https://doi.org/10.21923/jesd.293177
  13. Google Maps. (2024). How Street View works and where we will collect images next. Street View. https://www.google.com/streetview/how-it-works/
  14. Gül, A., Küçük, V., Doç, Y., & Orman Fakültesi Peyzaj Mimarlığı Bölümü, S. (2009). Kentsel Açık-,Yeşil Alanlar ve Isparta Kenti Örneğinde İrdelenmesi. Türkiye Ormancılık Dergisi, 2(1), 27–48. https://doi.org/10.18182/TJF.23277
  15. Gülçin, D., & Akpınar, A. (2018). Mapping Urban Green Spaces Based on an Object-Oriented Approach. Bilge International Journal of Science and Technology Research, 2, 71–81. https://doi.org/10.30516/BILGESCI.486893
  16. Gupta, K., Kumar, P., Pathan, S. K., & Sharma, K. P. (2012). Urban Neighborhood Green Index-A measure of green spaces in urban areas. Landscape and Urban Planning, 105, 325–335. https://doi.org/10.1016/j.landurbplan.2012.01.003
  17. Israt, A. S., & Hassan, A. S. (2022). User-friendly street- a study on users’ perception ranking on physical attributes of pedestrian environment of Dhaka city. Open House International, 47(2), 218–234. https://doi.org/10.1108/OHI-03-2021-0058/FULL/PDF
  18. Ki, D., & Lee, S. (2021). Analyzing the effects of Green View Index of neighborhood streets on walking time using Google Street View and deep learning. Landscape and Urban Planning, 205, 103920. https://doi.org/10.1016/J.LANDURBPLAN.2020.103920
  19. Kim, G. (2016). Assessing Urban Forest Structure, Ecosystem Services, and Economic Benefits on Vacant Land. Sustainability 2016, Vol. 8, Page 679, 8(7), 679. https://doi.org/10.3390/SU8070679
  20. Koramaz, E. K., & Türkoğlu, H. (2014). İstanbul’da Kentsel Yeşil Alan Kullanımı Ve Kentsel Yeşil Alanlardan Memnuniyet [Planning]. Planlama, 24(1), 26–34. https://planlamadergisi.org/jvi.aspx?pdir=planlama&plng=tur&un=PLAN-03511
  21. Kweon, B. S., Sullivan, W. C., & Wiley, A. R. (1998). Green common spaces and the social integration of inner-city older adults. Environment and behavior, 30(6), 832-858.
  22. Li, X., Zhang, C., Li, W., Ricard, R., Meng, Q., & Zhang, W. (2015). Assessing street-level urban greenery using Google Street View and a modified green view index. Urban Forestry & Urban Greening, 14(3), 675–685. https://doi.org/10.1016/J.UFUG.2015.06.006
  23. Liu, L., & Sevtsuk, A. (2024). Clarity or confusion: A review of computer vision street attributes in urban studies and planning. Cities, 150, 105022. https://doi.org/10.1016/J.CITIES.2024.105022
  24. Meitner, M. J. (2004). Scenic beauty of river views in the Grand Canyon: relating perceptual judgments to locations. Landscape and Urban Planning, 68(1), 3–13.
  25. Özden, M. A., & Uysal, A. B. (2023). Çanakkale Yeşil Alan Sisteminin Kullanıcı Odaklı Olarak Değerlendirilmesi. SOCIAL SCIENCES STUDIES JOURNAL (SSSJournal), 9(115), 8435–8448. https://doi.org/10.29228/SSSJ.72049
  26. Peters, K., Elands, B., & Buijs, A. (2010). Social interactions in urban parks: Stimulating social cohesion? Urban Forestry & Urban Greening, 9(2), 93–100. https://doi.org/10.1016/J.UFUG.2009.11.003
  27. Sakıcı, Ç., Çelik, S., Kapucu Kastamonu Üniversitesi, Ö., Fakültesi, O., Mimarlığı Bölümü, P., Kastamonu Üniversitesi, K., & Mühendisliği Bölümü, O. (2013). Kastamonu’daki hastane bahçelerinin peyzaj tasarımlarının değerlendirilmesi. SDÜ Orman Fakültesi Dergisi SDU Faculty of Forestry Journal, 14, 64–73.
  28. Sánchez, I. A. V., & Labib, S. M. (2024). Accessing eye-level greenness visibility from open-source street view images: A methodological development and implementation in multi-city and multi-country contexts. Sustainable Cities and Society, 103, 105262. https://doi.org/10.1016/J.SCS.2024.105262
  29. Schroeder, H., & Cannon, W. (1983). The Esthetic Contribution of Trees to Residential Streets in Ohio Towns. Arboriculture & Urban Forestry, 9(9), 237–243. https://doi.org/10.48044/JAUF.1983.058
  30. Schroeder, H. W., & Cannon, W. N. (1983). The Esthetic Contribution of Trees to Residential Streets in Ohio Towns. Arboriculture & Urban Forestry (AUF), 9(9), 237–243. https://doi.org/10.48044/JAUF.1983.058
  31. Sugiyama, T., Leslie, E., Giles-Corti, B., & Owen, N. (2008). Associations of neighbourhood greenness with physical and mental health: do walking, social coherence and local social interaction explain the relationships? Journal of Epidemiology and Community Health, 62(5). https://doi.org/10.1136/JECH.2007.064287
  32. Ulrich, R. S. (1981). Natural Versus Urban Scenes. Http://Dx.Doi.Org/10.1177/0013916581135001, 13(5), 523–556. https://doi.org/10.1177/0013916581135001
  33. Ulrich, R. S. (1984). View through a window may influence recovery from surgery. Science (New York, N.Y.), 224(4647), 420–421. https://doi.org/10.1126/SCIENCE.6143402
  34. Ulrich, R. S., Simons, R. F., Losito, B. D., Fiorito, E., Miles, M. A., & Zelson, M. (1991). Stress recovery during exposure to natural and urban environments. Journal of Environmental Psychology, 11(3), 201–230. https://doi.org/10.1016/S0272-4944(05)80184-7
  35. Valipoor, N., & Dehkordi, K. S. (2016). Prioritizing Effective Factors on Liveliness and Improvement of the Urban Life Caused by the Development of Green Spaces with the Attraction-Repulsion Pattern. Modern Applied Science, 10(8). https://doi.org/10.5539/mas.v10n8p90
  36. Van Den Bosch, M., & Meyer-Lindenberg, A. (2019). Environmental Exposures and Depression: Biological Mechanisms and Epidemiological Evidence. Annual Review of Public Health, 40(Volume 40, 2019), 239–259. https://doi.org/10.1146/ANNUREV-PUBLHEALTH-040218-044106/1
  37. Wang, R., Helbich, M., Yao, Y., Zhang, J., Liu, P., Yuan, Y., & Liu, Y. (2019). Urban greenery and mental wellbeing in adults: Cross-sectional mediation analyses on multiple pathways across different greenery measures. Environmental Research, 176, 108535. https://doi.org/10.1016/J.ENVRES.2019.108535
  38. Yang, J., Zhao, L., Mcbride, J., & Gong, P. (2009). Can you see green? Assessing the visibility of urban forests in cities. Landscape and Urban Planning, 91(2), 97–104. https://doi.org/10.1016/J.LANDURBPLAN.2008.12.004
  39. Yao, Y., Zhu, X., Xu, Y., Yang, H., Wu, X., Li, Y., & Zhang, Y. (2012a). Assessing the visual quality of green landscaping in rural residential areas: The case of Changzhou, China. Environmental Monitoring and Assessment, 184(2), 951–967. https://doi.org/10.1007/S10661-011-2012-Z/METRICS
  40. Yao, Y., Zhu, X., Xu, Y., Yang, H., Wu, X., Li, Y., & Zhang, Y. (2012b). Assessing the visual quality of green landscaping in rural residential areas: the case of Changzhou, China. Environmental Monitoring and Assessment, 184, 951–967.
  41. Ezcurra, E. (1991). De las chinampas a la megalópolis: el medio ambiente en la Cuenca de México.