Assessment of the Spatio-Temporal Dynamics in Urban Green Space via Intensity Analysis and Landscape Pattern Indices: A Case Study of Taiyuan, China

Yang Liu (), Mohd Johari Mohd Yusof (), Balqis Mohamed Rehan and Junainah Abu Kasim
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Yang Liu: Faculty of Design and Architecture, Department of Landscape Architecture, Universiti Putra Malaysia, Serdang 43400, Malaysia
Mohd Johari Mohd Yusof: Faculty of Design and Architecture, Department of Landscape Architecture, Universiti Putra Malaysia, Serdang 43400, Malaysia
Balqis Mohamed Rehan: Faculty of Engineering, Department of Civil Engineering, Universiti Putra Malaysia, Serdang 43400, Malaysia
Junainah Abu Kasim: Kuala Lumpur City Hall, Kuala Lumpur 50350, Malaysia

Sustainability, 2024, vol. 16, issue 19, 1-20

Abstract: Urban green space (UGS) is a crucial physical area that supports the functioning of urban ecosystems, and its changes affect urban ecological balance. In order to accurately analyze the dynamic processes and transfer targets of UGS during urbanization, this study proposes a new method of UGS assessment based on multi-temporal Landsat remote sensing data. This method is integrated with intensity analysis and landscape pattern indices so as to explore the spatio-temporal dynamics of the evolution process, landscape pattern, and driving forces of UGS from 2000 to 2022 in the resource-based city of Taiyuan in central China. The results of the case study show that rapid urbanization brought about a continuous reduction in UGS in the study area, but the trend of decreasing gradually slowed down; UGS patches have become more dispersed and isolated, bare land has been targeted for both gains and losses of UGS, and ecological restoration of bare land mitigated the rapid reduction of UGS. The results of this study not only confirm the applicability of this methodology for monitoring and assessing the evolution of UGS, but also reveal the identification of the targeting or avoidance of other categories during the conversion of UGS. Thus, the potential factors influencing changes in UGS can be analyzed to guide and safeguard sustainable development.

Keywords: urban green space; intensity analysis; landscape pattern; driving forces; Taiyuan (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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