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Developing a Method to Evaluate Public Space Perception in River Valley Plain Villages of the Loess Gully Area Based on Villagers’ Perspectives

The natural conditions in the loess gully area are harsh, and the construction of rural public spaces often lacks scientific guidance. It is essential to develop an optimization method for public spaces that is oriented toward the needs of villagers. For this study, the numerous river valley plain v...

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Bibliographic Details
Published in:Buildings (Basel) 2024-11, Vol.14 (11), p.3602
Main Authors: Dong, Qi, Chen, Yuan, Liu, Yifei, Qi, Yingtao, Galli, Barbara, Wang, Yupeng
Format: Article
Language:English
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Summary:The natural conditions in the loess gully area are harsh, and the construction of rural public spaces often lacks scientific guidance. It is essential to develop an optimization method for public spaces that is oriented toward the needs of villagers. For this study, the numerous river valley plain villages in Northern Shaanxi were selected as typical examples, with a focus on Liangqu Village as a case study. First, a public space perception evaluation system was established using the semantic differential method, which comprised four criterion-layer factors and nineteen indicator-layer factors. Perception evaluations were conducted for two types of public spaces: nodes and lanes. The results indicate that “facility completeness”, “accessibility”, and “activity diversity” were the most significant factors affecting villagers’ perceptions of node spaces. In contrast, “safety”, “landscape richness”, and “facility completeness” were the most critical factors influencing villagers’ perceptions of road spaces. Based on the evaluation results, the optimization needs of public spaces were categorized into four levels, and factors that urgently require improvement such as “facility completeness” and “safety” were identified. This study analyzed villagers’ perceptions and needs related to public spaces, providing scientific guidance for establishing a bottom-up design method for optimizing public spaces.
ISSN:2075-5309
2075-5309
DOI:10.3390/buildings14113602