A Methodological Approach towards Sustainable Urban Densification for Urban Sprawl Control at the Microscale: Case Study of Tanta, Egypt

• Published in: Sustainability 2021-05, Vol.13 (10), p.5360
• Main Authors: Abdrabo, Karim I., Hamed, Heba, Fouad, Kareem A., Shehata, Mohamed, Kantoush, Sameh A., Sumi, Tetsuya, Elboshy, Bahaa, Osman, Taher
• Format: Article
• Language: English
• Subjects: Agricultural land; Cities; Decision making; Densification; Geographic information systems; Industrialized nations; Infrastructure; Land use planning; Methodology; Methods; Population; Strategic planning; Sustainability; Sustainable development; Urban areas; Urban planning; Urban sprawl; Urbanism; Urbanization
• ISSN: 2071-1050; 2071-1050
• DOI: 10.3390/su13105360

When a high need for new residences coincides with an insufficient area of obtainable land within cities, urban sprawl occurs. Although densification is a well-known policy for controlling urban sprawl, one of the main challenges faced by researchers is that of determining urban densification potentials and priorities at the city scale. This paper aims to establish a methodology to facilitate decision-making regarding urban densification using five different methods. The proposed methodology utilizes high-quality city strategic plans (CSPs) and urban regulation documents and adopts geographic information systems (GISs) to determine and map the potential areas for densification. Multiple sustainability parameters, including environmental, economic, and social parameters, are selected, and weighted using an analytical hierarchy process (AHP) to prioritize the densification sites. The proposed method is tested in Tanta, Egypt, which has suffered due to agricultural losses of approximately 10 km2 within the last 50 years. The results credibly demonstrate the means by which to accommodate approximately 428% of the anticipated population increase in Tanta by 2027 and thereby save more than 53% of the approved deducted agricultural lands under the current urban regulations. Generally, this methodology offers a new model to optimize urban densification, which can be effective in urban management to achieve city resilience.