PMID- 36231145
OWN - NLM
STAT- MEDLINE
DCOM- 20221230
LR  - 20230120
IS  - 1660-4601 (Electronic)
IS  - 1661-7827 (Print)
IS  - 1660-4601 (Linking)
VI  - 19
IP  - 19
DP  - 2022 Sep 20
TI  - Planning for Sustainable Green Urbanism: An Empirical Bottom-Up (Community-Led) 
      Perspective on Green Infrastructure (GI) Indicators in Khyber Pakhtunkhwa (KP), 
      Pakistan.
LID - 10.3390/ijerph191911844 [doi]
LID - 11844
AB  - Rising vulnerability of the urban green infrastructure (UGI) is grabbing global 
      attention, for which inclusive urban landscape and greening policies (ULGP) and 
      frameworks are crucial to support green growth. As such, this research intends to 
      explore the local community's perspective to assemble sustainable UGI indicators 
      for vital taxonomy of the urban green space (UGS) elements, aiming to develop a 
      multi-functional and sustainable UGI-indicator-based framework that is 
      eco-friendly and supports green-resilient cities in Khyber Pakhtunkhwa (KP) 
      province, Pakistan. An in-depth household survey was executed in three KP 
      districts: Charsadda, Peshawar, and Mardan, placing self-administered 192 
      questionnaires while covering themes around climate change adaptation, urban 
      resilience, and UGI. Relative importance index (RII) and the interquartile range 
      (IQR) methods were set up for data analysis that revealed excellent reliability 
      (alpha > 0.88) and internal consistency. The results confirmed community-based UGI 
      indicators with a focus on promoting green-energy-saving strategies as e-imp 
      (level 9, RII = 0.915), while other (ten) UGI indicators as important (RII = 
      0.811-0.894) and (eleven) as moderately important (RII = 0.738-0.792). These UGI 
      indicators were found to be enhanced by UGS elements (RII >/= 0.70). These findings 
      provide a foundation for urban policy change and the development of a sustainable 
      UGI framework to build an eco-regional paradigm for greener growth.
FAU - Rayan, Muhammad
AU  - Rayan M
AUID- ORCID: 0000-0001-6984-797X
AD  - Research Group Landscape Ecology and Landscape Planning (LLP), Department of 
      Spatial Planning, TU Dortmund University, 44227 Dortmund, Germany.
FAU - Gruehn, Dietwald
AU  - Gruehn D
AUID- ORCID: 0000-0002-7570-4104
AD  - Research Group Landscape Ecology and Landscape Planning (LLP), Department of 
      Spatial Planning, TU Dortmund University, 44227 Dortmund, Germany.
FAU - Khayyam, Umer
AU  - Khayyam U
AUID- ORCID: 0000-0002-1253-7265
AD  - Department of Development Studies, School of Social Sciences and Humanities 
      (S3H), National University of Sciences and Technology (NUST), Islamabad 44000, 
      Pakistan.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20220920
PL  - Switzerland
TA  - Int J Environ Res Public Health
JT  - International journal of environmental research and public health
JID - 101238455
SB  - IM
MH  - Cities
MH  - *Climate Change
MH  - Pakistan
MH  - Reproducibility of Results
PMC - PMC9565737
OTO - NOTNLM
OT  - KP, Pakistan
OT  - adaptation
OT  - climate change
OT  - community participation
OT  - urban green infrastructure
COIS- The authors have no relevant financial or non-financial interests to disclose.
EDAT- 2022/10/15 06:00
MHDA- 2022/10/18 06:00
PMCR- 2022/09/20
CRDT- 2022/10/14 01:55
PHST- 2022/08/11 00:00 [received]
PHST- 2022/09/06 00:00 [revised]
PHST- 2022/09/07 00:00 [accepted]
PHST- 2022/10/14 01:55 [entrez]
PHST- 2022/10/15 06:00 [pubmed]
PHST- 2022/10/18 06:00 [medline]
PHST- 2022/09/20 00:00 [pmc-release]
AID - ijerph191911844 [pii]
AID - ijerph-19-11844 [pii]
AID - 10.3390/ijerph191911844 [doi]
PST - epublish
SO  - Int J Environ Res Public Health. 2022 Sep 20;19(19):11844. doi: 
      10.3390/ijerph191911844.