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[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 …
[HTML][HTML] How much is the view from the window worth? Machine learning-driven hedonic pricing model of the real estate market
T Potrawa, A Tetereva - Journal of Business Research, 2022 - Elsevier
Understanding the customers' perception of the value of constituent characteristics of a good
is among the key questions in any pricing strategy. Hedonic pricing allows such an analysis …
is among the key questions in any pricing strategy. Hedonic pricing allows such an analysis …
Repetitive floods intensify outmigration and climate gentrification in coastal cities
Abstract Recent floods in America, Europe, Asia and Africa reminded societies across the
world of the need to revisit their climate adaptation strategies. Rapid urbanization coinciding …
world of the need to revisit their climate adaptation strategies. Rapid urbanization coinciding …
Avoiding or mitigating flooding: Bottom-up drivers of urban resilience to climate change in the USA
Coastal areas around the world are urbanizing rapidly, despite the threat of sea level rise
and intensifying floods. Such development places an increasing number of people and …
and intensifying floods. Such development places an increasing number of people and …
Gap analysis in decision support systems for real-estate in the era of the digital earth
Searching for a property is inherently a multicriteria spatial decision. The decision is
primarily based on three high-level criteria composed of household needs, building facilities …
primarily based on three high-level criteria composed of household needs, building facilities …
[HTML][HTML] Estimation of housing price variations using spatio-temporal data
This paper proposes a hedonic regression model to estimate housing prices and the spatial
variability of prices over multiple years. Using the model, maps are obtained that represent …
variability of prices over multiple years. Using the model, maps are obtained that represent …
An integrated model of real estate market responses to coastal flooding
Understanding and improving how humans adapt to climate change are priorities in our
research community, and coastal settlements are good places to study adaptation. Severe …
research community, and coastal settlements are good places to study adaptation. Severe …
Valuing the impact of air pollution in urban residence using hedonic pricing and geospatial analysis, evidence from Quito, Ecuador
S Borja-Urbano… - Air, Soil and Water …, 2021 - journals.sagepub.com
Air pollution is one of the hazardous effects of urbanization. Hereby, one the most polluted
cities in Ecuador is the Metropolitan District of Quito (DMQ). This study attempts to determine …
cities in Ecuador is the Metropolitan District of Quito (DMQ). This study attempts to determine …
Possible effects of potential lahars from Cotopaxi volcano on housing market prices
RC Echegaray-Aveiga, F Rodríguez-Espinosa… - Journal of Applied …, 2020 - Springer
The recent awakening of the Cotopaxi volcano in Ecuador set the conditions to estimate and
verify the possible effects of potential lahars on residential housing unit prices. About …
verify the possible effects of potential lahars on residential housing unit prices. About …
The behaviour of property prices when affected by infrequent floods
CS Fletcher, KR Ganegodage, MD Hildenbrand… - Land Use Policy, 2022 - Elsevier
The reduction in property values following a major flood event is significant to individuals,
communities and governments alike. Property owners who purchase properties just before a …
communities and governments alike. Property owners who purchase properties just before a …