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Author:

Yang, X. (Yang, X..) | Duan, C. (Duan, C..) | Chen, B. (Chen, B..) | Wang, H. (Wang, H..)

Indexed by:

EI Scopus SCIE

Abstract:

Urban green spaces (UGS) can mitigate urban waterlogging disasters and improve subjective well-being. The study presents an integrated framework combining subjective and objective perceptions to assess the socio-economic value of UGS, using InfoWorks ICM model and the Life Satisfaction Approach. Central Beijing was selected as a case study. From the objective perception perspective, UGS significantly mitigated waterlogging risks, particularly in low and high rainfall return periods, with green space hotspots overlapping with areas of severe waterlogging risk. From the subjective perception perspective, women, younger groups, and non-car owners perceived a stronger relationship between UGS and waterlogging based on CGSS 2021. The waterlogging mitigation value of UGS was largely undervalued, with 67.33 % of the total value coming from indirect effects. During the 5-year rainfall return period, the reasonable threshold of UGS area was 33.36 km², and each household was willing to pay 1.3468 RMB/m2 ($0.1921). © 2024 Elsevier B.V.

Keyword:

Urban waterlogging;Urban green spaces;Willingness to pay;Subjective well-being;Perceived value;InfoWorks ICM model

Author Community:

  • [ 1 ] [Yang X.]School of Environment, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Beijing Normal University, Beijing, 100875, China
  • [ 2 ] [Duan C.]College of Water Sciences, Beijing Normal University, Beijing, 100875, China
  • [ 3 ] [Chen B.]School of Environment, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Beijing Normal University, Beijing, 100875, China
  • [ 4 ] [Wang H.]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China

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Source :

Resources, Conservation and Recycling

ISSN: 0921-3449

Year: 2025

Volume: 212

1 3 . 2 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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