TY - JOUR
T1 - Urban green recovery was insufficient to increase human greenspace exposure equality
T2 - Long-term evidence from megacity Shanghai, China
AU - Zhu, Hongkai
AU - Zeng, Ke
AU - Zhang, Shuyi
AU - Zhang, Yiwen
AU - Ci, Mengyao
AU - Jin, Ziwen
AU - Wang, Yue
AU - Huang, Pei
AU - Zheng, Zemei
AU - Yin, Shan
AU - Zheng, Ji
AU - Liu, Min
N1 - Publisher Copyright:
© 2026 Elsevier Ltd.
PY - 2026/5
Y1 - 2026/5
N2 - Providing widespread and equitable greenspaces for urban residents is of great significance for promoting sustainable development and public well-being. Recent studies indicated that some cities had experienced greening, but the temporal dynamics of greenspace and human exposure remain unclear due to the lack of long-term trajectory analysis. This study takes Shanghai, a rapidly developing megacity in China, as the study area to investigate the temporal trajectories of greenspace dynamics and human exposure equality with long-term, high-resolution enhanced vegetation index (EVI) data and population data. The Venn conceptual model was employed to assess how greenspace coverage and population distribution influence human greenspace exposure and equality along the urban-rural gradient. Our findings revealed that despite a decline in EVI in Shanghai from 1984 to 2023, recovery in greenness and greening trend was found in 55.7% areas, which accounted for 87.3% in the urban core and 53% in the suburb, driving significant green recovery in highly urbanized regions. Over the past 20 years, population-weighted greenspace exposure in Shanghai increased, following a spatial pattern of “increase-decrease-increase” from the urban core outward. However, human greenspace exposure equality was not increased with the green recovery around the 2000s. The positive influence of greenspace coverage in the suburb and rural areas was insufficient to offset the negative influence of population distribution, failing to increase equality. Our study clarified the temporal changes in greenspace dynamics and human exposure during urbanization, and highlighted the need to strengthen the human-nature relationship to increase greenspace exposure equality.
AB - Providing widespread and equitable greenspaces for urban residents is of great significance for promoting sustainable development and public well-being. Recent studies indicated that some cities had experienced greening, but the temporal dynamics of greenspace and human exposure remain unclear due to the lack of long-term trajectory analysis. This study takes Shanghai, a rapidly developing megacity in China, as the study area to investigate the temporal trajectories of greenspace dynamics and human exposure equality with long-term, high-resolution enhanced vegetation index (EVI) data and population data. The Venn conceptual model was employed to assess how greenspace coverage and population distribution influence human greenspace exposure and equality along the urban-rural gradient. Our findings revealed that despite a decline in EVI in Shanghai from 1984 to 2023, recovery in greenness and greening trend was found in 55.7% areas, which accounted for 87.3% in the urban core and 53% in the suburb, driving significant green recovery in highly urbanized regions. Over the past 20 years, population-weighted greenspace exposure in Shanghai increased, following a spatial pattern of “increase-decrease-increase” from the urban core outward. However, human greenspace exposure equality was not increased with the green recovery around the 2000s. The positive influence of greenspace coverage in the suburb and rural areas was insufficient to offset the negative influence of population distribution, failing to increase equality. Our study clarified the temporal changes in greenspace dynamics and human exposure during urbanization, and highlighted the need to strengthen the human-nature relationship to increase greenspace exposure equality.
KW - Enhanced vegetation index
KW - Equality
KW - Greenspace dynamics trajectories
KW - Human greenspace exposure
KW - Urban planning
UR - https://www.scopus.com/pages/publications/105030123626
U2 - 10.1016/j.cities.2026.106846
DO - 10.1016/j.cities.2026.106846
M3 - 文章
AN - SCOPUS:105030123626
SN - 0264-2751
VL - 172
JO - Cities
JF - Cities
M1 - 106846
ER -