Utilities of artificial intelligence in poverty prediction: a review
Artificial Intelligence (AI) is generating new horizons in one of the biggest challenges in the
world's society—poverty. Our goal is to investigate utilities of AI in poverty prediction via …
world's society—poverty. Our goal is to investigate utilities of AI in poverty prediction via …
The research development of hedonic price model-based real estate appraisal in the era of big data
The 15-minute walkable neighborhoods: Measurement, social inequalities and implications for building healthy communities in urban China
M Weng, N Ding, J Li, X **, H **ao, Z He… - Journal of Transport & …, 2019 - Elsevier
A sufficient number of studies have highlighted that walkable neighborhoods can help to
reduce the risk of obesity and noncommunicable diseases (NCDs). The Chinese …
reduce the risk of obesity and noncommunicable diseases (NCDs). The Chinese …
Understanding house price appreciation using multi-source big geo-data and machine learning
Understanding house price appreciation benefits place-based decision makings and real
estate market analyses. Although large amounts of interests have been paid in the house …
estate market analyses. Although large amounts of interests have been paid in the house …
Social inequalities in neighborhood visual walkability: Using street view imagery and deep learning technologies to facilitate healthy city planning
It is of great significance both in theory and in practice to propose an efficient approach to
approximating visual walkability given urban residents' growing leisure needs. Recent …
approximating visual walkability given urban residents' growing leisure needs. Recent …
A modelling approach with geographically weighted regression methods for determining geographic variation and influencing factors in housing price: A case in …
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 …
Does visual contact with green space impact housing pricesʔ An integrated approach of machine learning and hedonic modeling based on the perception of green …
Green space, especially visual contact with greenery, is an important aspect of space quality
assessment and has a significant impact on the premium of real estate. Due to the limitations …
assessment and has a significant impact on the premium of real estate. Due to the limitations …
House price prediction using hedonic pricing model and machine learning techniques
The problem with property valuation is that it is extremely complex. It is difficult to objectively
model the pricing process or fairly estimate a property value. Many factors can contribute to …
model the pricing process or fairly estimate a property value. Many factors can contribute to …
Incorporating neighborhoods with explainable artificial intelligence for modeling fine-scale housing prices
The hedonic price model (HPM) has been widely used to investigate the association
between neighborhoods and housing prices. Empirical studies of HPM assume that mixed …
between neighborhoods and housing prices. Empirical studies of HPM assume that mixed …