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
A groundbreaking study published in Frontiers in Sustainable Cities examines how climate conditions, economic factors, and property attributes shape rental prices in Baidoa, Somalia. Conducted by researchers from the Institute of Climate and Environment (ICE), SIMAD University, and other institutions, the study applies a hybrid analytical approach—combining hedonic