Interpreting regenerated post-industrial lands as green spaces: Comparing public perceptions of post-industrial landscapes using human factor design framework

Huang, Chuli; Wei, Fang; Qiu, Sijia; Cao, Xuqing; Chen, Lu; Xu, Jing; Gao, Jiayang; Lin, Qing

doi:10.1016/j.ecolind.2023.111282

Cited by 5 publications

(2 citation statements)

References 117 publications

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“…Innovative research into the role of social media in enhancing public engagement and awareness about conservation underscores the significant potential of digital platforms for the preservation of industrial landscapes [30]. Moreover, public perceptions and preferences concerning post-industrial landscapes critically influence landscape planning and management [31]. Advanced methodologies, such as deep learning techniques and multiple regression models, are employed to analyze public perceptions of restoration in post-industrial parks, elucidating the distinct contributions of natural and man-made elements in boosting public satisfaction and restorative experiences [32].…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Distribution Characteristics and Influential Mechanisms of China’s Industrial Landscape Based on Geodetector

Yan,

Li,

Song

2024

Land

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The industrial landscape constitutes a crucial aspect of a region’s historical and cultural identity, serving as a valuable asset in the development of industrial tourism. Exploring the industrial landscape supports initiatives in industrial tourism, acts as a catalyst for community revitalization, and contributes to sustainable urban progress. The primary objective of this research was to investigate the spatial distribution characteristics and underlying determinants of China’s industrial landscape (CIL) to inform urban planning, cultural heritage preservation, and sustainable development initiatives. This study utilized analytical tools, such as the nearest neighbor index, geographic concentration index, and hot spot analysis, to comprehensively examine the spatial distribution of CIL. Additionally, Geodetector was employed to explore the correlating factors behind this distribution. The findings reveal the following: (1) CIL exhibited a pronounced agglomerative spatial pattern characterized by a high degree of concentration, significant disparities, and substantial spatial autocorrelation. (2) Over time, the agglomeration of CIL varied, intensifying initially and then diminishing, with the center of gravity of its distribution shifting eastward before subsequently moving westward in a directional trend resembling “northeast–southwest”. (3) There was a diverse array of industrial landscape types within China, with notable disparities in the prevalence of different categories. The manufacturing and transportation sectors boasted the highest number of heritage sites. (4) The distribution pattern of CIL was shaped by factors such as the level of economic development, socio-demographic conditions, transportation infrastructure, and cultural milieu. The interplay between these factors had a substantial impact on this distribution pattern.

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Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Distribution Characteristics and Influential Mechanisms of China’s Industrial Landscape Based on Geodetector

Yan,

Li,

Song

2024

Land

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“…This paper explores multi-level transformation strategies based on landscape regeneration and placemaking theories [9][10][11]. On the basis of theoretical analyses, this paper summarizes three effective transformation strategies, namely spatial function transformation [12], community network construction [13], and historical and cultural preservation and inheritance [14], using the case study method on existing successful transformation cases. A practical study was also carried out in the Zhangjiawan Landfill renovation project to explore the specific design approach of these three strategies in real projects (as shown in Figure 1).…”

Section: Introductionmentioning

confidence: 99%

Sustainable Space Transformation Design Strategies for Post-Landfill Closure

Li,

Liu

2024

Sustainability

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This study explores strategies for promoting sustainable development in urban public spaces by focusing on transforming and reusing closed landfill sites. Using landscape regeneration theory and the genius loci principle from architectural phenomenology, this research investigates spatial redesign techniques to facilitate the sustainable utilization of these sites. Through the analysis of three representative case studies and the specific application of these strategies to the Zhangjiawan Landfill site in Xining City, Qinghai Province, northwest China, this study elucidates practical approaches for spatial function transformation, constructing community networks, and heritage preservation and cultural continuity. From an urban macro-planning perspective, the post-closure design of the Zhangjiawan Municipal Landfill emphasizes organic linkages with adjacent city parks, fostering community integration and enhancing recreational opportunities for residents. The transformed area facilitates social interaction and cultivates a harmonious community atmosphere by repurposing the site to incorporate community farms, cultural centers, and outdoor sports facilities. Moreover, integrating leisure spaces, cultural exhibitions, and ecological restoration initiatives contributes to ecosystem rehabilitation while providing residents with leisure, social engagement, and cultural enrichment spaces. This research demonstrates how effective spatial transformation can promote environmental education, heritage preservation, and urban functionality in redeveloping closed landfill sites. The theoretical insights and practical design strategies presented contribute to advancing sustainable practices in urban planning and public space utilization.

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Visual and emotional interaction between people and post-industrial riverscape based on the significance of “Original – New Placement”

Huang,

Wei,

Han

et al. 2024

Ecological Indicators

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Interpreting regenerated post-industrial lands as green spaces: Comparing public perceptions of post-industrial landscapes using human factor design framework

Cited by 5 publications

References 117 publications

Spatial and Temporal Distribution Characteristics and Influential Mechanisms of China’s Industrial Landscape Based on Geodetector

Spatial and Temporal Distribution Characteristics and Influential Mechanisms of China’s Industrial Landscape Based on Geodetector

Sustainable Space Transformation Design Strategies for Post-Landfill Closure

Visual and emotional interaction between people and post-industrial riverscape based on the significance of “Original – New Placement”

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