Forecasting market dynamics has been the prior concern for financial studies. But current models with historical data, demographic feature, and econometric indicators does not show satisfactory performance. The scope of this paper is to develop a model to forecast land prices. We applied network analysis to express the structure of complex road networks and extracted effective features influencing land price. We demonstrated that the price model including the features extracted from the road networks showed better performance in forecasting the price than that with demographic features.
['Satoru Yamamoto', 'Yuya Kajikawa']
Does topology matter? land price and road network