Open AccessUnderground housing formation strategies
Author(s) -
Rana Mazin Mahdi,
A H Aboud
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1773/1/012033
Subject(s) - space (punctuation) , architectural engineering , set (abstract data type) , work (physics) , subdivision , value (mathematics) , element (criminal law) , civil engineering , living space , physical space , environmental planning , computer science , engineering , geography , political science , mechanical engineering , apartment , machine learning , law , programming language , operating system , cartography
This paper studied underground residential spaces as one of the most important treatments used since a long time ago until now, and despite the set of obstacles accompanying it, such as increasing costs and special construction treatments required by building, the resulting spaces remain a viable alternative to housing. The research problem is stated as a need for knowledge to determine the morphological formation of the residential underground to enhance its attachment to the surface. To solve such research problem, the most important vocabulary and indicators related to each of the morphology of the underground residential space and the physical links that work to enhance the relationship of the underground residential space with the surface have been investigated and identified. Suitable for housing depending on specialized architectural proposals. A questionnaire was conducted to demonstrate the possibilities of adopting the values of underground residential space morphology and the main element of Physical connectors between the top and bottom and indicating the degree of achievement of value resulting from the theoretical framework. The research founded that the underground residential space was considered fit for housing whenever its connection with the surface was strong depending on the functional, visual and spatial connectors.