Analysis of dynamic scenarios generated by urban growth in the city of Pasto using a predictive model supported by a software product

Jheison Edilson Arteaga Quistial, Miguel Ángel Velásquez Bravo and Omar Alexander Revelo Zambrano

Gentrification, 2025, vol. 1, 93

Abstract: The objective of this research is to analyse urban growth in Pasto using a predictive model in order to identify expansion patterns and anticipate future scenarios. The study responds to the need to manage rapid urban change in the city, which has gone from being mainly agricultural to urban in the last two decades. Through the analysis of urban data, it seeks to facilitate planning and informed decision-making, promoting sustainability and organised development

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:gentri:v:1:y:2025:i::p:93:id:1062486gen202593

DOI: 10.62486/gen202593

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