Abstract
The focus of this study is on the ability of morphometrics and building pattern recognition to improve top-down urban renewal processes by identifying post-Second World War mass housing suitable for urban renewal. We used two conceptual frameworks: the first from the field of urban design and architecture and the second from the field of multi-parametric analysis and geographic information system. A survey of a sample of typical post-Second World War mass housing units based on historical blueprints was developed to identify geometric indicators. The geometric indicators were transformed into a geographic information system parametric model for the identification of post-Second World War mass housing units and sites in current urban plans on a city scale. The model was implemented in the city of Haifa, Israel, as a case study. The analysis results indicate 1288 buildings in 283 urban sites suitable for urban renewal, 10% of the present city’s housing stock.
Original language | English |
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Pages (from-to) | 248-264 |
Number of pages | 17 |
Journal | Environment and Planning B: Urban Analytics and City Science |
Volume | 48 |
Issue number | 2 |
DOIs | |
State | Published - Feb 2021 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© The Author(s) 2019.
Keywords
- Delineating urban fabrics
- building pattern recognition
- geographic information system analysis
- public housing
- urban renewal
ASJC Scopus subject areas
- Architecture
- Geography, Planning and Development
- Urban Studies
- Nature and Landscape Conservation
- Management, Monitoring, Policy and Law