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 …
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
Traditional linear models often struggle to capture regional housing markets' complex, non-
linear dynamics. This study addresses this gap by developing and applying advanced …
linear dynamics. This study addresses this gap by developing and applying advanced …
Urban vibrancy: An emerging factor that spatially influences the real estate market
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 …
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
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 …
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 …
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 …
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
In the literature, several vulnerability/resilience indicators and indexes are based and
assessed by taking into account and combining different dimensions. Housing vulnerability …
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
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 …
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 …
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 …
housing has become an increasingly common living choice for many people, and housing …