Leveraging machine learning to predict residential location choice: A comparative analysis
Residential location choice is a pivotal factor shaping urban landscapes, influencing economic activity, social demographics, and transportation networks. Understanding these decisions is essential for effective urban planning. While discrete choice models have been used to predict residential locat...
Saved in:
Main Authors: | Vahid Noferesti, Hamid Mirzahossein |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
|
Series: | Results in Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025003007 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Time Effort Prediction Of Agile Software Development Using Machine Learning Techniques
by: Muchamad Bachram Shidiq, et al.
Published: (2023-12-01) -
Explainable Model Prediction of Memristor
by: Sruthi Pallathuvalappil, et al.
Published: (2024-01-01) -
Efficient diagnosis of diabetes mellitus using an improved ensemble method
by: Blessing Oluwatobi Olorunfemi, et al.
Published: (2025-01-01) -
PARALLEL ALGORITHMS OF RANDOM FORESTS FOR CLASSIFYING VERY LARGE DATASETS
by: Do Thanh Nghi, et al.
Published: (2013-06-01) -
Industrial Agglomeration and Location Choice in Services and Retail Sector: The Case of India
by: Devesh Singh, et al.
Published: (2018-12-01)