AI-based on machine learning methods for urban real estate prediction: a systematic survey

SCK Tekouabou, ŞC Gherghina, ED Kameni… - … Methods in Engineering, 2024 - Springer
The advanced urban digitization enhancing a huge volume of data collected in many areas
has led to the emergence of artificial intelligence (AI) based tools in decision support …

Housing price prediction incorporating spatio-temporal dependency into machine learning algorithms

A Soltani, M Heydari, F Aghaei, CJ Pettit - Cities, 2022 - Elsevier
Conventional housing price prediction methods rarely consider the spatiotemporal non-
stationary problem in a large data volumes. In this study, four machine learning (ML) models …

The nexus between transportation infrastructure and housing prices in metropolitan regions

A Soltani, N Zali, H Aghajani, F Hashemzadeh… - Journal of Housing and …, 2024 - Springer
This study investigates factors influencing housing prices in Tehran's metropolitan area and
predicts their values. We analysed a sample of 32,162 housing units using Hedonic Model …

[HTML][HTML] Automated land valuation models: A comparative study of four machine learning and deep learning methods based on a comprehensive range of influential …

P Jafary, D Shojaei, A Rajabifard, T Ngo - Cities, 2024 - Elsevier
Accurate land valuation is necessary for tax purposes, land resources allocation, real estate
management and urban development and planning. Since various factors from different …

[HTML][HTML] Automating property valuation at the macro scale of suburban level: A multi-step method based on spatial imputation techniques, machine learning and deep …

P Jafary, D Shojaei, A Rajabifard, T Ngo - Habitat International, 2024 - Elsevier
Property valuation research, evolving with Automated Valuation Models (AVMs) using
Artificial Intelligence (AI) and Machine Learning (ML), encounters challenges in handling …

[HTML][HTML] Leveraging Machine Learning for Sophisticated Rental Value Predictions: A Case Study from Munich, Germany

W Chen, S Farag, U Butt, H Al-Khateeb - Applied Sciences, 2024 - mdpi.com
There has been very limited research conducted to predict rental prices in the German real
estate market using an AI-based approach. From a general perspective, conventional …

A Hybrid Machine Learning Model for House Price Prediction

B Subbulakshmi, M Nirmala Devi, Sriram… - … of Innovative Product …, 2022 - Springer
A house price prediction model will be an effective application to predict and evaluate the
cost of a certain property using the attributes. The main focus here is determining the prices …

A Comparative Study of Regression algorithms on House Sales Price Prediction

KS Kalaivani, CS Kanimozhiselvi… - 2023 Second …, 2023 - ieeexplore.ieee.org
Accurate prediction of house sales prices plays a pivotal role in various real estate and
financial applications. As the real estate market continues to grow and evolve, it becomes …

Mitigating housing market shocks: an agent-based reinforcement learning approach with implications for real-time decision support

S Olmez, A Heppenstall, J Ge, C Elsenbroich… - Journal of …, 2024 - Taylor & Francis
Research in modelling housing market dynamics using agent-based models (ABMs) has
grown due to the rise of accessible individual-level data. This research involves forecasting …

[PDF][PDF] Real Estate Tax Prediction Using Hybrid Deep Learning Models.

AR Saleh, MA Elsaban, MM Saleh… - International Journal of …, 2024 - inass.org
Future Real estate tax assessment and evaluation systems play a significant role in
supporting public services and digital economy transformation. To automate and integrate …