An explainable model for the mass appraisal of residences: The application of tree-based Machine Learning algorithms and interpretation of value determinants
MC Iban - Habitat international, 2022 - Elsevier
In the mass appraisal of properties, Machine Learning (ML) algorithms have produced
effective and promising results. Analysts use various algorithms to train their models with …
effective and promising results. Analysts use various algorithms to train their models with …
The predicaments of environmental impact assessment (EIA) for transport infrastructure: An examination of policy stagnation and progress
K Gharehbaghi, A Hosseinian-Far… - … : People, Process and …, 2022 - emerald.com
Purpose Environmental impact assessment (EIA) for transport infrastructure should consider
geological constraints, legislative regulations, public policy and other strategic …
geological constraints, legislative regulations, public policy and other strategic …
Machine learning approach to residential valuation: a convolutional neural network model for geographic variation
Geographic location and neighbourhood attributes are major contributors to residential
property values. Automated valuation models (AVM) often use hedonic pricing with location …
property values. Automated valuation models (AVM) often use hedonic pricing with location …
Capturing the distance decay effect of amenities on housing price using explainable artificial intelligence
Automated valuation models (AVMs) have been significantly enhanced by machine learning
techniques, continuously improving accuracy and flexibility in data structure and statistical …
techniques, continuously improving accuracy and flexibility in data structure and statistical …
Advanced rail transportation infrastructure as the basis of improved urban mobility: research into Sydney as a smart city
K Gharehbaghi, K McManus, N Hurst, K Robson… - Australian …, 2023 - Taylor & Francis
This research evaluates the advanced rail transportation infrastructure as the foundation of
sustainable urban mobility. Sydney's rail transportation was evaluated as a smart city. To …
sustainable urban mobility. Sydney's rail transportation was evaluated as a smart city. To …
An Integrative Spatial Framework and Co‐Design Toolkit to Measure and Visualize Multidimensional Poverty in the United States
S Praharaj - Geographical Analysis, 2025 - Wiley Online Library
Nearly 38 million people in the United States live in poverty. The Census Bureau's official
poverty measure significantly undercounts poverty as it solely focuses on a minimum food …
poverty measure significantly undercounts poverty as it solely focuses on a minimum food …
Analysing India's Smart Cities Mission from a Sustainability Perspective
S Praharaj - Smart Cities, Energy and Climate: Governing …, 2024 - Wiley Online Library
The discourse on smart cities promises an era of innovative urban planning driven by smart
technologies that are capable of sensing, analysing and efficiently managing urban …
technologies that are capable of sensing, analysing and efficiently managing urban …
Optimization of the BANK's Branch Network Using Machine Learning Methods
D Ardan - Proceedings of SAI Intelligent Systems Conference, 2022 - Springer
The pandemic has made many companies move their business processes to online.
Financial institutions, especially banks, have been quite active in develo** online …
Financial institutions, especially banks, have been quite active in develo** online …
[HTML][HTML] Artificial Intelligence in Urban Planning
T Sanchez - tomwsanchez.com
Artificial Intelligence in Urban Planning | Tom Sanchez Tom Sanchez Professor, Texas A&M
University, Landscape Architecture and Urban Planning Tom Sanchez Skip to content Home …
University, Landscape Architecture and Urban Planning Tom Sanchez Skip to content Home …