TY - JOUR
T1 - Influence of urban forests on residential property values
T2 - A systematic review of remote sensing-based studies
AU - Ewane, Ewane Basil
AU - Bajaj, Shaurya
AU - Velasquez-Camacho, Luisa
AU - Srinivasan, Shruthi
AU - Maeng, Juyeon
AU - Singla, Anushka
AU - Luber, Andrea
AU - de-Miguel, Sergio
AU - Richardson, Gabriella
AU - Broadbent, Eben North
AU - Cardil, Adrian
AU - Jaafar, Wan Shafrina Wan Mohd
AU - Abdullah, Meshal
AU - Corte, Ana Paula Dalla
AU - Silva, Carlos Alberto
AU - Doaemo, Willie
AU - Mohan, Midhun
N1 - Publisher Copyright:
© 2023
PY - 2023/10/1
Y1 - 2023/10/1
N2 - Urban forests provide direct and indirect benefits to human well-being that are increasingly captured in residential property values. Remote Sensing (RS) can be used to measure a wide range of forest and vegetation parameters that allows for a more detailed and better understanding of their specific influences on housing prices. Herein, through a systematic literature review approach, we reviewed 89 papers (from 2010 to 2022) from 21 different countries that used RS data to quantify vegetation indices, forest and tree parameters of urban forests and estimated their influence on residential property values. The main aim of this study was to understand and provide insights into how urban forests influence residential property values based on RS studies. Although more studies were conducted in developed (n = 55, 61.7%) than developing countries (n = 34, 38.3%), the results indicated for the most part that increasing tree canopy cover on property and neighborhood level, forest size, type, greenness, and proximity to urban forests increased housing prices. RS studies benefited from spatially explicit repetitive data that offer superior efficiency to quantify vegetation, forest, and tree parameters of urban forests over large areas and longer periods compared to studies that used field inventory data. Through this work, we identify and underscore that urban forest benefits outweigh management costs and have a mostly positive influence on housing prices. Thus, we encourage further discussions about prioritizing reforestation and conservation of urban forests during the urban planning of cities and suburbs, which could support UN Sustainable Development Goals (SDGs) and urban policy reforms.
AB - Urban forests provide direct and indirect benefits to human well-being that are increasingly captured in residential property values. Remote Sensing (RS) can be used to measure a wide range of forest and vegetation parameters that allows for a more detailed and better understanding of their specific influences on housing prices. Herein, through a systematic literature review approach, we reviewed 89 papers (from 2010 to 2022) from 21 different countries that used RS data to quantify vegetation indices, forest and tree parameters of urban forests and estimated their influence on residential property values. The main aim of this study was to understand and provide insights into how urban forests influence residential property values based on RS studies. Although more studies were conducted in developed (n = 55, 61.7%) than developing countries (n = 34, 38.3%), the results indicated for the most part that increasing tree canopy cover on property and neighborhood level, forest size, type, greenness, and proximity to urban forests increased housing prices. RS studies benefited from spatially explicit repetitive data that offer superior efficiency to quantify vegetation, forest, and tree parameters of urban forests over large areas and longer periods compared to studies that used field inventory data. Through this work, we identify and underscore that urban forest benefits outweigh management costs and have a mostly positive influence on housing prices. Thus, we encourage further discussions about prioritizing reforestation and conservation of urban forests during the urban planning of cities and suburbs, which could support UN Sustainable Development Goals (SDGs) and urban policy reforms.
KW - GIS
KW - Housing prices
KW - Remote sensing
KW - Urban forests and climate change
KW - Urban forests benefits
KW - Urban tree planting
KW - Urban trees
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UR - https://www.mendeley.com/catalogue/c011f4c9-2fea-3d8f-8ef3-a692589a48db/
U2 - 10.1016/j.heliyon.2023.e20408
DO - 10.1016/j.heliyon.2023.e20408
M3 - Article
C2 - 37842597
AN - SCOPUS:85172872418
SN - 2405-8440
VL - 9
SP - e20408
JO - Heliyon
JF - Heliyon
IS - 10
M1 - e20408
ER -