Analyzing Privacy in Frank Lloyd Wright's Prairie Style Homes Through Syntactic Methodsusing “A Graph”and Depth Map XSoftwares
Journal Title: International Journal of Innovations in Science and Technology - Year 2024, Vol 6, Issue 3
Abstract
Frank Lloyd Wright's Prairie Style homes, designed across the United States, showcase his unique architectural approach. This study examines how Wright's designs interact with environmental conditions, focusing on privacy in eight Prairie Style homes. Detailed floor plans and architectural evaluations were analyzed using space syntax tools to assess spatial connections. The results show that Wright prioritized bedroom privacy, with lower integration values indicating seclusion. Public areas like living and dining spaces had higher integration values, promoting connectivity. The study confirms that bedrooms in Wright's Prairie Style homes are intentionally designed as private spaces, with some exceptions. These findings highlight the importance of layout morphology in creating private zones within open-plan layouts. This research sheds light on Wright's innovative approach to balancing privacy and openness in residential architecture.
Authors and Affiliations
Sehar Iftikhar, Malik Fazal Ammar, Misbahud Din,Abdullah Ahmed
Keywords
Related Articles
- EP ID EP760429
- DOI -
- Views 50
- Downloads 0
Gemstones Supply Chain Management throughBlockchain Mechanism
T provenance of gemstones significantly enhances their value. However, both conventional supply chain management and digital systems are susceptible to counterfeiting, loss, and theft. Blockchain has emerged as a suita...
A ReviewBased on Active Research Areas in Mining Software Bug Repositories: Limitations and Possible Future Trends
Introduction/ Importance of Study: Bug repository mining is a crucial research area in software engineering, analyzing software change trends, defect prediction, and evolution. It involves developing methods and tools...
Synergizing Digital Twin Technology for Advanced Depression Categorization in Social-Media through Data Mining Analysis
The progression from negative emotions to depression is a significant concern, marked by persistent sadness and an inability to cope with challenging circumstances. Regrettably, it can lead to the extreme step of suicide...
A Smart Prediction Platform for Agricultural Crops Using Machine Learning
It is very critical to have the economic development of emerging countries, like Pakistan. Pakistan, while being one of the world’s main suppliers of a wide range of commodities, continues to employ traditional techni...
Smart Gas Geyser with Real-Time Data Collection
This paper presents an IoT-based Smart Gas Geyser system designed to address energy inefficiency, safety risks, and user inconvenience in conventional water heaters. It proposes an IoT-based smart gas geyser sys...