Explainable spatial machine learning for hedonic real estate modeling
Abstract Accurately modeling rents and prices is a key challenge in real estate analysis. Traditional linear models may fail to capture complex non‐linear relationships, and spatial dependencies are often ignored in existing machine‐learning approaches.
Tim Gyger +5 more
wiley +1 more source
Beyond immersion: disentangling the technological and social drivers of visitor satisfaction in XR art exhibitions. [PDF]
Chen Y, Li M.
europepmc +1 more source
Hurricane‐induced risk contagion in commercial real estate: Evidence from Hurricane Sandy
Abstract This study examines how hurricane‐induced destruction affects the prices of nearby undamaged commercial real estate properties, using Hurricane Sandy as a natural experiment. Using Real Capital Analytics transaction records spatially merged with Federal Emergency Management Agency building‐level damage data, we empirically employ a difference ...
Lu Fang +3 more
wiley +1 more source
Athletes' Sensory Evaluation and Willingness to Pay for High-Protein Bread. [PDF]
Selvaggi R +5 more
europepmc +1 more source
How much are you willing to pay to avoid lockdowns? Evidence from the real estate market
Abstract In response to the COVID‐19 pandemic, numerous countries implemented lockdowns. In Victoria, Australia, a unique two‐tier system was employed, segregating areas with a Ring of Steel boundary and imposing additional restrictions within. This study focuses on the impact of lockdowns on housing prices and rents, exploring whether people are ...
Jian Liang, Chyi Lin Lee, Qiang Li
wiley +1 more source
Predicting Sanitation Behaviors: Comparison of Willingness to Pay Techniques for Sanitation Services in Urban Dhaka, Bangladesh. [PDF]
Alam MU +5 more
europepmc +1 more source
Structural change in the US office market after 2019: Evidence from lease‐level data
Abstract This article examines how the leasing activities, contract features, and pricing of the Class A office leasing market have evolved since 2019 across five major US markets: Los Angeles, the Bay Area, Dallas, Washington, DC, and New York City. Using a granular dataset of 73,508 office leases from 2010 to 2024, we find a broad‐based contraction ...
Liang Peng, Xue Xiao
wiley +1 more source
AI adoption among adolescents in education: extending the UTAUT2 with psychological and contextual factors. [PDF]
Caffaratti LB +3 more
europepmc +1 more source
Abstract We estimate the price impact of very nearby concurrently listed properties in the Sydney housing market and assess their competition effects. We apply a hedonic model with spatiotemporal effects regularized via a graph Laplacian prior at the month‐by‐SA2 regional level to seven SA4 subregions of metropolitan Sydney. The model structure enables
Willem P. Sijp, Mengheng Li
wiley +1 more source
How Does Perceived Value Influence Functional Snack Consumption Intention? An Empirical Analysis Based on Generational Differences. [PDF]
Chen X, Zhang XE, Yin J, Chen J, Lin H.
europepmc +1 more source

