Impacts of Street-Visible Greenery on Housing Prices: Evidence from a Hedonic Price Model and a Massive Street View Image Dataset in Beijing

Street greenery is a component of urban green infrastructure. By forming foundational green corridors in urban ecological systems, street greenery provides vital ecological, social, and cultural functions, and benefits the wellbeing of citizens. However, because of the difficulty of quantifying people’s visual perceptions, the impact of street-visible greenery on housing prices has not been fully studied. Using Beijing, which has a mature real estate market, as an example, this study evaluated 22,331 transactions in 2014 in 2370 private housing estates. We selected 25 variables that were classified into three categories—location, housing, and neighbourhood characteristics—and introduced an index called the horizontal green view index (HGVI) into a hedonic pricing model to measure the value of the visual perception of street greenery in neighbouring residential developments. The results show that (1) Beijing’s homebuyers would like to reside in residential units with a higher HGVI; (2) Beijing’s homebuyers favour larger lakes; and (3) Beijing’s housing prices were impacted by the spatial development patterns of the city centre and multiple business centres. We used computer vision to quantify the street-visible greenery and estimated the economic benefits that the neighbouring visible greenery would have on residential developments in Beijing. This study provides a scientific basis and reference for policy makers and city planners in road greening, and a tool for formulating street greening policy, studying housing price characteristics, and evaluating real estate values.

[1]  Huixuan Li,et al.  Spatial-Temporal Analysis of Heavy Metal Water Pollution and the Impact on Public Health in China , 2015 .

[2]  Kotaroh Hirate,et al.  Investigating oppressiveness and spaciousness in relation to building, trees, sky and ground surface: A study in Tokyo , 2014 .

[3]  J. Geoghegan.  The value of open spaces in residential land use , 2002 .

[4]  Alan K. Reichert,et al.  An Evaluation of Alternative Estimation Techniques and Functional Forms in Developing Statistical Appraisal Models , 2009 .

[5]  C.Y. Jim,et al.  Amenities and disamenities: A hedonic analysis of the heterogeneous urban landscape in Shenzhen (China) , 2010 .

[6]  Ying Long,et al.  How green are the streets? An analysis for central areas of Chinese cities using Tencent Street View , 2017, PloS one.

[7]  Noelwah R. Netusil,et al.  The impact of open spaces on property values in Portland, Oregon , 2000 .

[8]  Ramesh Raskar,et al.  Computer vision uncovers predictors of physical urban change , 2017, Proceedings of the National Academy of Sciences.

[9]  K. McConnell,et al.  Valuing Environmental and Natural Resources , 2002 .

[10]  Eric A. Hanushek,et al.  Schools and Location: Tiebout, Alonso, and Governmental Finance Policy , 2013 .

[11]  Wei Li,et al.  Estimating the value of urban green areas: A hedonic pricing analysis of the single family housing market in Los Angeles, CA , 2012 .

[12]  David T. Butry,et al.  The effect of urban trees on the rental price of single-family homes in Portland, Oregon. , 2011 .

[13]  S. Rosen.  Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition , 1974, Journal of Political Economy.

[14]  Weiqi Zhou,et al.  Quantifying spatiotemporal pattern of urban greenspace: new insights from high resolution data , 2015, Landscape Ecology.

[15]  C. Ratti,et al.  Green streets − Quantifying and mapping urban trees with street-level imagery and computer vision , 2017 .

[16]  Chang-Hee Christine Bae,et al.  THE IMPACT OF SEOUL'S SUBWAY LINE 5 ON RESIDENTIAL PROPERTY VALUES , 2003 .

[17]  Jayajit Chakraborty,et al.  Street Trees and Equity: Evaluating the Spatial Distribution of an Urban Amenity , 2009 .

[18]  Noelwah R. Netusil,et al.  THE EFFECT OF OPEN SPACES ON A HOME'S SALE PRICE , 2001 .

[19]  L. Tyrväinen,et al.  Property Prices and Urban Forest Amenities , 2000 .

[20]  L. Yin,et al.  Creating sustainable urban built environments: An application of hedonic house price models in Wuhan, China , 2015 .

[21]  Weixing Zhang,et al.  Urban Forestry & Urban Greening , 2015 .

[22]  Jae Seung Lee,et al.  Virtual and actual: relative accuracy of on-site and web-based instruments in auditing the environment for physical activity. , 2013, Health & place.

[23]  T. Daniel.  Whither scenic beauty? Visual landscape quality assessment in the 21st century , 2001 .

[24]  J. Stock,et al.  Introduction to Econometrics (3 Rd Updated Edition) , 2014 .

[25]  Peng Gong,et al.  Can you see green? Assessing the visibility of urban forests in cities , 2009 .

[26]  Eric A. Hanushek,et al.  The complementarity of Tiebout and Alonso , 2007 .

[27]  Xinyu Zhang,et al.  Nitrogen pollution and source identification of urban ecosystem surface water in Beijing , 2014, Frontiers of Environmental Science & Engineering.

[28]  Weidong Li,et al.  Who lives in greener neighborhoods? The distribution of street greenery and its association with residents' socioeconomic conditions in Hartford, Connecticut, USA , 2015 .

[29]  Xinghui Xia,et al.  Levels, distribution, and health risk of phthalate esters in urban soils of Beijing, China. , 2011, Journal of environmental quality.

[30]  Roberto Cipolla,et al.  Segmentation and Recognition Using Structure from Motion Point Clouds , 2008, ECCV.

[31]  C.Y. Jim,et al.  Impacts of urban environmental elements on residential housing prices in Guangzhou (China) , 2006 .

[32]  Jing Cao,et al.  China's Rising Demand for "Green Cities": Evidence from Cross-City Real Estate Price Hedonics , 2011 .

[33]  M Hillsdon,et al.  The relationship between access and quality of urban green space with population physical activity. , 2006, Public health.

[34]  Carl J. Schwarz,et al.  An Inductive Proof of the Sampling Distributions for the MLE's of the Parameters in an Inverse Gaussian Distribution , 1991 .

[35]  Stefan Müller Arisona,et al.  StreetVizor: Visual Exploration of Human-Scale Urban Forms Based on Street Views , 2018, IEEE Transactions on Visualization and Computer Graphics.

[36]  Eckart Lange,et al.  Scenario-visualization for the assessment of perceived green space qualities at the urban-rural fringe. , 2008, Journal of environmental management.

[37]  David T. Butry,et al.  Landscape and Urban Planning , 2010 .

[38]  A. B. Morancho.  A hedonic valuation of urban green areas , 2003 .

[39]  Simon Washington,et al.  Effects of Transportation Accessibility on Residential Property Values , 2007 .

[40]  Siqi Zheng,et al.  How Much Is a Good School Worth in Beijing? Identifying Price Premium with Paired Resale and Rental Data , 2016 .

[41]  Neil Sipe,et al.  Evaluating Revealed Preferences for Street Tree Cover Targets: A Business Case for Collaborative Investment in Leafier Streetscapes in Brisbane, Australia , 2017 .

[42]  Jianguo Wu.  Urban ecology and sustainability: The state-of-the-science and future directions , 2014 .

[43]  Chi Yung Jim,et al.  Consumption preferences and environmental externalities: A hedonic analysis of the housing market in Guangzhou , 2007 .

[44]  Chuanrong Zhang,et al.  Environmental inequities in terms of different types of urban greenery in Hartford, Connecticut , 2016 .

[45]  Roberto Cipolla,et al.  SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[46]  J. Luttik.  The value of trees, water and open space as reflected by house prices in the Netherlands , 2000 .

[47]  Yi Li,et al.  Automatic Sky View Factor Estimation from Street View Photographs - A Big Data Approach , 2017, Remote. Sens..

[48]  Yaolin Liu,et al.  Geographic Field Model based hedonic valuation of urban open spaces in Wuhan, China , 2010 .

[49]  H W Richardson,et al.  Residential Property Values, the CBD, and Multiple Nodes: Further Analysis , 1990 .

[50]  P. McLeod,et al.  The Demand for Local Amenity: An Hedonic Price Analysis , 1984 .

[51]  Raymond B. Palmquist.  Estimating the Demand for the Characteristics of Housing , 1984 .

[52]  Yong Xue,et al.  Monitoring of urban heat island effect in Beijing combining ASTER and TM data , 2011 .

[53]  Jin Chen,et al.  Exploring Determinants of Housing Prices in Beijing: An Enhanced Hedonic Regression with Open Access POI Data , 2017, ISPRS Int. J. Geo Inf..

[54]  C.Y. Jim,et al.  Value of scenic views: Hedonic assessment of private housing in Hong Kong , 2009 .

[55]  C. Tisdell,et al.  The Impact of Noosa National Park on Surrounding Property Values: An Application of the Hedonic Price Method , 2002 .

[56]  S Kingham,et al.  Role of physical activity in the relationship between urban green space and health. , 2013, Public health.

[57]  Weidong Li,et al.  Does the Visibility of Greenery Increase Perceived Safety in Urban Areas? Evidence from the Place Pulse 1.0 Dataset , 2015, ISPRS Int. J. Geo Inf..

[58]  N. Powe,et al.  Valuation of urban amenities using an hedonic price model , 1995 .

[59]  Peilin Xu,et al.  Expression of a bacterial aroA mutant, aroA-M1, encoding 5-enolpyruvylshikimate-3-phosphate synthase for the production of glyphosate-resistant tobacco plants , 2003, Journal of Plant Research.

[60]  S. Malpezzi,et al.  Hedonic Pricing Models: A Selective and Applied Review , 2008 .

[61]  R. Ulrich.  View through a window may influence recovery from surgery. , 1984, Science.

[62]  N. Nakagoshi,et al.  Spatial- temporal gradient analysis of urban green spaces in Jinan, China , 2006 .

[63]  Eric A. Hanushek,et al.  Stanford Center for International Development Household Location and Schools in Metropolitan Areas with Heterogeneous Suburbs: Tiebout, Alonso, and Government Policy Household Location and Schools in Metropolitan Areas with Heterogeneous Suburbs: Tiebout, Alonso, and Government Policy , 2022 .

[64]  Jie Chen,et al.  The impacts of distance to CBD on housing prices in Shanghai: a hedonic analysis , 2008 .

[65]  P. G. Allen,et al.  Valuation of urban parks , 1988 .

[66]  Zan Yang,et al.  An application of the hedonic price model with uncertain attribute ‐ The case of the People’s Republic of China , 2001 .

[67]  K Nakamura,et al.  Urban residential environments and senior citizens’ longevity in megacity areas: the importance of walkable green spaces , 2002, Journal of epidemiology and community health.

[68]  Takaaki Koga,et al.  Measuring oppressiveness of streetscapes , 2012 .

[69]  Chuanwang Sun,et al.  Effects of Waste-to-Energy Plants on China’s Urbanization: Evidence from a Hedonic Price Analysis in Shenzhen , 2017 .

[70]  Robert G. Haight,et al.  The value of urban tree cover: A hedonic property price model in Ramsey and Dakota Counties, Minnesota, USA , 2010 .

[71]  Chunxia Wu,et al.  Million trees Los Angeles canopy cover and benefit assessment , 2011 .

[72]  Keming Ma,et al.  The spatial characteristics and pollution levels of metals in urban street dust of Beijing, China , 2013 .

[73]  K. Krizek,et al.  Proximity to Trails and Retail: Effects on Urban Cycling and Walking , 2006 .