A modelling approach with geographically weighted regression methods for determining geographic variation and influencing factors in housing price: A case in …
S Sisman, AC Aydinoglu - Land use policy, 2022 - Elsevier
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 …
[PDF][PDF] 北京市二手住宅价格影响机制
沈体雁, 于瀚辰, 周麟, 古恒宇, 何泓浩 - 经济地理, 2020 - gjs.cssn.cn
文章基于多尺度地理加权回归研究北京市2011—2017 年二手住宅交易的价格特征, 结果表明:
① 以往基于经典地理加权回归模型的研究可能存在一定的不稳健, 而多尺度地理加权回归可以 …
① 以往基于经典地理加权回归模型的研究可能存在一定的不稳健, 而多尺度地理加权回归可以 …
A geographically weighted artificial neural network
J Hagenauer, M Helbich - International Journal of Geographical …, 2022 - Taylor & Francis
While recent developments have extended geographically weighted regression (GWR) in
many directions, it is usually assumed that the relationships between the dependent and the …
many directions, it is usually assumed that the relationships between the dependent and the …
Environmental externalities of urban river pollution and restoration: A hedonic analysis in Guangzhou (China)
WY Chen - Landscape and Urban Planning, 2017 - Elsevier
The degradation of urban river ecosystems presents a serious threat to sustainable urban
development. Consequently, extensive efforts have been devoted to the ecological …
development. Consequently, extensive efforts have been devoted to the ecological …
Addressing the macroeconomic and hedonic determinants of housing prices in Beijing Metropolitan Area, China
J Duan, G Tian, L Yang, T Zhou - Habitat International, 2021 - Elsevier
This paper examined both the macroeconomic and hedonic determinants of housing prices
in Beijing. The vector autoregression (VAR) model was used to explain the dynamic impacts …
in Beijing. The vector autoregression (VAR) model was used to explain the dynamic impacts …
A hybrid regression technique for house prices prediction
Usually, House price index represents the summarized price changes of residential housing.
While for a single family house price prediction, it needs more accurate method based on …
While for a single family house price prediction, it needs more accurate method based on …
[HTML][HTML] Spatial analysis of housing prices and market activity with the geographically weighted regression
The main part of the study will be to demonstrate that models taking into account spatial
heterogeneity (Geographically Weighted Regression and Mixed Geographically Weighted …
heterogeneity (Geographically Weighted Regression and Mixed Geographically Weighted …
[HTML][HTML] Associations between spatial access to medical facilities and health-seeking behaviors: A mixed geographically weighted regression analysis in Shanghai …
Y Shen, Y Tao - Applied Geography, 2022 - Elsevier
Enhancing the spatial accessibility to medical facilities is an important public health strategy
in many countries. However, it is not clear whether enhancing spatial accessibility is capable …
in many countries. However, it is not clear whether enhancing spatial accessibility is capable …
When demand drops and prices rise. Tourist packages in the Balearic Islands during the economic crisis
J Alegre, M Sard - Tourism Management, 2015 - Elsevier
The aim of this paper is to analyse the effects of the crisis on the prices of package holidays
to the Balearic Islands sold by a sample of British and German tour operators. Three …
to the Balearic Islands sold by a sample of British and German tour operators. Three …
Spatial and hedonic analysis of housing prices in Shanghai
Housing prices in Chinese cities, particularly in Shanghai, Beijing, Guangzhou and
Shenzhen, are among the highest in the world. The average price for an apartment in …
Shenzhen, are among the highest in the world. The average price for an apartment in …