A modelling approach with geographically weighted regression methods for determining geographic variation and influencing factors in housing price: A case in …

S Sisman, AC Aydinoglu - Land use policy, 2022 - Elsevier
Determining real estate market dynamics has become an important issue in the city
economy for achieving sustainable urban land management and investment planning. This …

[HTML][HTML] The non-linear dynamics of South Australian regional housing markets: A machine learning approach

A Soltani, CL Lee - Applied Geography, 2024 - Elsevier
Traditional linear models often struggle to capture regional housing markets' complex, non-
linear dynamics. This study addresses this gap by developing and applying advanced …

Urban vibrancy: An emerging factor that spatially influences the real estate market

A Barreca, R Curto, D Rolando - Sustainability, 2020 - mdpi.com
Urban vibrancy is defined and measured differently in the literature. Originally, it was
described as the number of people in and around streets or neighborhoods. Now, it is …

EPC green premium in two different European climate zones: A comparative study between Barcelona and Turin

F Dell'Anna, M Bravi, C Marmolejo-Duarte, MC Bottero… - Sustainability, 2019 - mdpi.com
Energy performance certificates (EPCs) are important tools aimed at improving buildings'
energy performance. They play a central role in the context of the Energy Performance of …

Epc labels and building features: Spatial implications over housing prices

A Barreca, E Fregonara, D Rolando - Sustainability, 2021 - mdpi.com
The influence of building or dwelling energy performance on the real estate market
dynamics and pricing processes is deeply explored, due to the fact that energy efficiency …

From human business to machine learning—methods for automating real estate appraisals and their practical implications

M Stang, B Krämer, C Nagl, W Schäfers - Zeitschrift Für …, 2023 - Springer
Until recently, in most countries, the use of Automated Valuation Models (AVMs) in the
lending process was only allowed for support purposes, and not as the sole value …

Housing vulnerability and property prices: Spatial analyses in the Turin real estate market

A Barreca, R Curto, D Rolando - Sustainability, 2018 - mdpi.com
In the literature, several vulnerability/resilience indicators and indexes are based and
assessed by taking into account and combining different dimensions. Housing vulnerability …

Energy retrofitting for the Modern Heritage enhancement in weak real estate markets: the Olivetti housing stock in Ivrea

A Barreca, R Curto, G Malavasi, D Rolando - Sustainability, 2022 - mdpi.com
The enhancement of Modern Heritage buildings is nowadays a challenging issue as they
are often degraded or abandoned and their historical value is not well acknowledged by …

Exploring a pricing model for urban rental houses from a geographical perspective

H Shen, L Li, H Zhu, Y Liu, Z Luo - Land, 2021 - mdpi.com
Models for estimating urban rental house prices in the real estate market continue to pose a
challenging problem due to the insufficiency of algorithms and comprehensive perspectives …

[HTML][HTML] A pricing model for urban rental housing based on convolutional neural networks and spatial density: a case study of wuhan, china

H Shen, L Li, H Zhu, F Li - ISPRS International Journal of Geo-Information, 2022 - mdpi.com
With the development of urbanization and the expansion of floating populations, rental
housing has become an increasingly common living choice for many people, and housing …