A Computational Geospatial Approach to Assessing Land-Use Compatibility in Urban Planning

Autor: Omid Mansourihanis, Mohammad Javad Maghsoodi Tilaki, Samira Yousefian, Ayda Zaroujtaghi
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Land, Vol 12, Iss 11, p 2083 (2023)
Druh dokumentu: article
ISSN: 2073-445X
DOI: 10.3390/land12112083
Popis: Amidst rapid urbanization, sustainable development requires moving beyond subjective land-use planning techniques toward innovative computational geospatial models. This paper introduces a GIS-based quantitative framework to enable objective, rigorous land-use compatibility analysis. Uniquely, the model evaluates radial impacts and expert-defined criteria across multiple scales, overcoming the limitations of qualitative approaches. Cell-by-cell computation identifies emerging spatial conflicts with enhanced realism. A case study in Qaemshahr, Iran, demonstrated the model’s proficiency in revealing incompatibilities and hotspots, surpassing conventional methodologies. Quantitative analysis provided accurate, transparent insights for evidence-based planning and consistency in evaluation. Ongoing improvements through 3D, real-time data integration and machine learning will further the objectivity. While extensive testing across diverse urban contexts is still needed, this pioneering computational technique marks a transition from subjective to objective methodologies. Situated at the intersection of geographic information science and urban planning, this study serves as a launchpad for advancing robust geospatial models to shape more equitable, resilient urban futures amidst complex sustainability challenges. The development of rigorous computational techniques remains fundamental, and the present innovative model can be used to provide objective, scientifically grounded compatibility analyses to guide land-use planning.
Databáze: Directory of Open Access Journals