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Assessing the Spatial Distribution Pattern of Street Greenery and Its Relationship with Socioeconomic Status and the Built Environment in Shanghai, China

Author

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  • Chao Xiao

    (School Economics and Management, Tongji University, Shanghai 200092, China)

  • Qian Shi

    (School Economics and Management, Tongji University, Shanghai 200092, China)

  • Chen-Jie Gu

    (School Economics and Management, Tongji University, Shanghai 200092, China)

Abstract

Urban greenery is widely acknowledged as a key element for creating livable urban environments and improving residents’ quality of life. However, only a few current studies on the subject of urban greenery focus on a human visual perspective and take street greenery into consideration. Street greenery is an indispensable component of urban vegetation to which residents have a higher frequency of access. Additionally, few studies focused on the disparity of the green view at a micro-level, such as at a county or community level. This study explored the spatial distribution of street greenery and its influential factors using the green view index (GVI) as the main evaluation indicator. Compared to other traditional indicators of greenery, such as the normalized difference vegetation index (NDVI) and accessibility, GVI is recognized as a human-oriented indicator to evaluate the quantity of greenery viewed by human eyes in daily life. The downtown area of Shanghai was chosen as the case study, as it reflects the common phenomenon of street greenery in many megacities globally. In addition, county/jiedao (the same administrative area as county in China) level was selected as the minimum geographical unit to evaluate the disparity of GVI and its influential factors to fill the knowledge gap. We analyzed 233,000 pieces of street-view images from Baidu Map and other correlated data. The results showed (1) the street greenery of 70% of the downtown area of Shanghai is less than the recommended comforFogre visual environment; (2) street greenery is spatially clustered in Huangpu district, Xuhui district, college town, and the Century Park of Shanghai; (3) street-greenery distribution is positively correlated with housing price and street network density, and negatively correlated with the ratio of society vulnerability; however, it is uncorrelated to population density. According to these findings, local municipalities could improve urban planning and design by introducing a more human-oriented green-space policy that improves social equity.

Suggested Citation

  • Chao Xiao & Qian Shi & Chen-Jie Gu, 2021. "Assessing the Spatial Distribution Pattern of Street Greenery and Its Relationship with Socioeconomic Status and the Built Environment in Shanghai, China," Land, MDPI, vol. 10(8), pages 1-19, August.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:8:p:871-:d:617902
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    References listed on IDEAS

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    1. Lu, Yi & Sarkar, Chinmoy & Xiao, Yang, 2018. "The effect of street-level greenery on walking behavior: Evidence from Hong Kong," Social Science & Medicine, Elsevier, vol. 208(C), pages 41-49.
    2. Haoying Wang & Yunfeng Hu & Li Tang & Qi Zhuo, 2020. "Distribution of Urban Blue and Green Space in Beijing and Its Influence Factors," Sustainability, MDPI, vol. 12(6), pages 1-20, March.
    3. Ye, Changdong & Hu, Lingqian & Li, Min, 2018. "Urban green space accessibility changes in a high-density city: A case study of Macau from 2010 to 2015," Journal of Transport Geography, Elsevier, vol. 66(C), pages 106-115.
    4. Kirsten Schwarz & Michail Fragkias & Christopher G Boone & Weiqi Zhou & Melissa McHale & J Morgan Grove & Jarlath O’Neil-Dunne & Joseph P McFadden & Geoffrey L Buckley & Dan Childers & Laura Ogden & S, 2015. "Trees Grow on Money: Urban Tree Canopy Cover and Environmental Justice," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-17, April.
    5. Yusuke Kumakoshi & Sau Yee Chan & Hideki Koizumi & Xiaojiang Li & Yuji Yoshimura, 2020. "Standardized Green View Index and Quantification of Different Metrics of Urban Green Vegetation," Sustainability, MDPI, vol. 12(18), pages 1-16, September.
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    2. Bohong Zheng & Rui Guo & Komi Bernard Bedra & Yanfen Xiang, 2022. "Quantitative Evaluation of Urban Style at Street Level: A Case Study of Hengyang County, China," Land, MDPI, vol. 11(4), pages 1-28, March.
    3. Wanshu Wu & Ziying Ma & Jinhan Guo & Xinyi Niu & Kai Zhao, 2022. "Evaluating the Effects of Built Environment on Street Vitality at the City Level: An Empirical Research Based on Spatial Panel Durbin Model," IJERPH, MDPI, vol. 19(3), pages 1-24, January.

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