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5 articles

Extent and Techniques of Coastal Land Reclamation in the Niger Delta: A Spatio-Temporal Analysis

Temple Probyne Abali, Michael Uzodianya Didia, Oye Ideki

Urban Planning and Construction · 1-14 · 10.55121/upc.v3i2.657

This study examined the scale, pattern, and impacts of swamp reclamation in the Niger Delta between 1988 and 2018, with particular attention to its implications for urban development and environmental sustainability. Using Geographic Information System (GIS) and remote sensing techniques, Landsat satellite images were analyzed t

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Generative AI and Formal Deductive Planning for Port-City Transformation: A Wild Scenario Methodology Applied to Cork 2050

Suresh Sood, Hugh Pattinson

Urban Planning and Construction · 1-16 · 10.55121/upc.v4i2.101659

Port cities face planning horizons that conventional frameworks, anchored in present conditions and insufficiently imaginative, are ill-equipped to navigate. This paper develops and demonstrates the artificial intelligence (AI)-driven wild scenario planning with formal deductive implementation (AWSPFD) framework, integrating gen

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The Geographies and the Temporal Trends/Dynamics of Urban Sprawl in a Suburban Area

Guwani Erangi Kavirathna, Ananda Y Karunarathna

Urban Planning and Construction · 12-32 · 10.55121/upc.v4i1.1128

Urban sprawl refers to the expansion of cities towards the countryside, associated with developed infrastructure facilities and transportation networks. Thus, this study aims to analyze the geospatial patterns/dynamics of the urban sprawl, examine the temporal patterns/dynamics of the urban sprawl, and investigate the causative

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Role of Remote Sensing in Urban Planning and Smart City Development in India

Anshul Jain, Chinar Garg

Urban Planning and Construction · 63-76 · 10.55121/upc.v3i2.539

Rapid urbanization in India, driven by population growth and economic expansion, has intensified challenges such as unplanned sprawl, resource strain, environmental degradation, and inadequate infrastructure. The Smart Cities Mission, launched in 2015, seeks to address these issues by fostering sustainable, technology-driven urb

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Artificial Intelligence Based Site Selection for the Construction of Megastructures in Urban areas

Anshul Jain, Hridayesh Varma

Urban Planning and Construction · 51-62 · 10.55121/upc.v3i1.536

The construction of megastructures, such as skyscrapers, dams, and large-scale urban developments, demands precise site selection to ensure structural integrity, economic viability, and environmental sustainability. Traditional site selection methods rely heavily on manual surveys and expert judgment, which are time-consuming an

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