Investigating the impact of property characteristics, cost of living, and environmental factors on rental prices in Baidoa’s climate-affected real estate market: a hybrid approach using hedonic regression and neural networks

IntroductionUnderstanding the determinants of residential rental prices is crucial for policymakers, investors, and real estate practitioners. This study investigates the influence of property value, property characteristics, cost of living, political stability, essential services, and environmental...

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Bibliographic Details

Published in:	Frontiers in Sustainable Cities
Main Authors:	Mohamed Ibrahim Nor, Buba Audu, Abdullahi Dahir Mohamed
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-03-01
Subjects:	climate-driven real estate hedonic regression artificial neural networks (ANN) rental price forecasting displacement and political stability
Online Access:	https://www.frontiersin.org/articles/10.3389/frsc.2025.1511761/full