[HTML][HTML] A survey of methods and input data types for house price prediction
Predicting house prices is a challenging task that many researchers have attempted to
address. As accurate house prices allow better informing parties in the real estate market …
address. As accurate house prices allow better informing parties in the real estate market …
Toward 3D property valuation—a review of urban 3D modelling methods for digital twin creation
Increasing urbanisation has inevitably led to the continuous construction of buildings. Urban
expansion and densification processes reshape cities and, in particular, the third dimension …
expansion and densification processes reshape cities and, in particular, the third dimension …
Human settlement value assessment from a place perspective: Considering human dynamics and perceptions in house price modeling
A better formalization of place-where people live, perceive, and interact with others-is crucial
for understanding socioeconomic environment and human settlement. The widely used …
for understanding socioeconomic environment and human settlement. The widely used …
Urban parks, value uplift and green gentrification: An application of the spatial hedonic model in the city of Brisbane
This paper explores the impact of urban parks on real estate prices making use of a hedonic
price approach. Focusing on Brisbane, Australia, as a case study site, we use spatial …
price approach. Focusing on Brisbane, Australia, as a case study site, we use spatial …
Housing price variations using spatio-temporal data mining techniques
The issue of property evaluation and appraisal has been of high interest for private and
public agents involved in the housing industry for the purposes of trade, insurance and tax …
public agents involved in the housing industry for the purposes of trade, insurance and tax …
[HTML][HTML] Understanding the effects of socioeconomic factors on housing price appreciation using explainable AI
Housing price appreciation is an important socioeconomic phenomenon that captures the
complex socioeconomic dynamics of a city. Variation in housing price appreciation across …
complex socioeconomic dynamics of a city. Variation in housing price appreciation across …
A new toolkit for land value analysis and scenario planning
In the digital era of big data, data analytics and smart cities, a new generation of planning
support systems is emerging. The Rapid Analytics Interactive Scenario Explorer is a novel …
support systems is emerging. The Rapid Analytics Interactive Scenario Explorer is a novel …
House prices, airport location proximity, air traffic volume and the COVID-19 effect
Although house prices and airports are influenced by distinct factors that shape their
evolutions, they are also intrinsically connected through the natural and built environment …
evolutions, they are also intrinsically connected through the natural and built environment …
[HTML][HTML] Spatial variability of the 'Airbnb effect': A spatially explicit analysis of Airbnb's impact on housing prices in Sydney
Over the last decade, the emergence and significant growth of home-sharing platforms, such
as Airbnb, has coincided with rising housing unaffordability in many global cities. It is in this …
as Airbnb, has coincided with rising housing unaffordability in many global cities. It is in this …
[HTML][HTML] Life is a scene and we are the actors: Assessing the usefulness of planning support theatres for smart city planning
There are numerous studies on the identification and explanation of the implementation gap
of planning support systems (PSS), that support the smart planning process by analyzing …
of planning support systems (PSS), that support the smart planning process by analyzing …