Learning from Italian Typology- and Morphology-Led Planning Techniques: A Planning Framework for Yingping, Xiamen

Shuyi Xie
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Shuyi Xie: School of Architecture, Huaqiao University, Xiamen 361021, China

Sustainability, 2019, vol. 11, issue 7, 1-29

Abstract: As a vital historic neighborhood with an indeterminate large-scale planning scheme, Yingping, located in the city center of Xiamen, China, is struggling with poor livability and growing incoherent private additions and renovations that largely undermine the local historic urban landscape. Inspired by Italian typology- and morphology-led planning techniques, this study explores the possible interpretations and implications of their applications in Yingping to address its interconnected, heterogeneous, and stratified urban fabric and planning problems. The research is developed through a two-pronged multi-layered planning framework. Firstly, from the maintenance perspective, five intervention approaches are grouped, with a specific focus on the leading structural elements of the urban fabric—the arcade streets. Secondly, from the morphological view and through the ecological lens, six characterized areas are identified and classified with respective morphological features and crucial planning problems being faced. This framework provides a strategic thematization of corresponding optimizing strategies and suitable guidelines to direct future governmental actions and to support the self-maintenance of local inhabitants toward sustainable development. The study also presents the possibility that such techniques are applicable to the Chinese context and is expected to inspire further research and practices in China and beyond.

Keywords: morphology; typology; planning technique; historic neighborhood; historic urban landscape (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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