Short description: The goal of this thesis is to explore and reveal the relationship between urban well-being and urban space.
Keywords: Urban well-being, noise pollution, mental health, urban morphology, urban spatial structure
Topic at: TU Munich
Staff involved: Dongsheng Chen (dongsheng.chen@tum.de)
Description:
Urban environment has long been linked with human well-being. The complex urban forms and urban spatial structure undoubtedly affect urban well-being. However, despite efforts made, the quantitative relationship between complex urban morphology and urban well-being remains unclear or contradictory [1,2]. One challenge is to accurately characterize the complex regional urban environments in order to quantitatively modelling their relationship.
Urban morphometrics provide a range of effective indicators for building morphology, which can accurately characterize the complex regional urban environments [3]. The student is expected to be proficient in the use of these Python-based tools, so as to achieve the goal of exploring the impact of urban morphology on urban well-being.
The student is required to have a background in urban planning and skills in statistics, python programming and graph data analysis as this study is expected to output a quantitative graph-based model.
Figure below: Morphological tessellation for building footprints and some Morphological metrics; Credits: https://www.sciencedirect.com/science/article/pii/S0198971519302856
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