A number of empirical studies in Euro-American region consistently demonstrate that, parks and open space have a positive impact on property values. However, this effect has not been investigated in Beijing, China. An...A number of empirical studies in Euro-American region consistently demonstrate that, parks and open space have a positive impact on property values. However, this effect has not been investigated in Beijing, China. And the public and city managers often ignore or underestimate the role of urban green spaces. This paper surveyed the relationship between the average house prices of 76 residential areas and 14 parks in Beijing, and measured the total benefits of 18 070 ha public green spaces on residential property value, by using the inventory data of urban green spaces （2009） and GIS techniques. Results showed that the residential property values located 850-1604 meters away from parks achieved a 0.5% to 14.1% increase in sales price. The overall benefit of Beijing’s public green spaces on residential property was 2.86 billion CNY （1 USD=6.83 CNY）, and the average benefit of per hectare public green space was 0.16 million CNY, corresponding to 1.8-3.9 times of the maintenance cost of green space in Beijing. Therefore, there is chance for local governments to increase property tax revenues due to the creation and maintenance of urban green spaces.展开更多
[Objective] To establish the comprehensive evaluation index system of public green area per capita as a quantitative mean of measuring ecological city and livable city. [Method]The GM (1, 1) forecasting model was set ...[Objective] To establish the comprehensive evaluation index system of public green area per capita as a quantitative mean of measuring ecological city and livable city. [Method]The GM (1, 1) forecasting model was set up according to statistics of public green area per capita in Xi’an City during 1996 and 2005, on this basis, the development trend of green area per capita in Xi’an City until 2015 were analyzed in case of no any changing factors or conditions. [Result]Grey forecasting model was established as, (t = 0, 1, …, n); model parameters as a = - 0.031 71, u = 4.139 17. After residual error test and posterior-variance-test, the precision of this model is proved fairly good. [Conclusions]According to this model, public green area per capita in Xi’an City will achieve 7.66 m2 by 2015, which is still far away from the livable city index (16 m2 per capita) and should be paid more attention by the local government, the construction of urban green areas should be further enhanced, more vegetations should be cultivated so as to improve the urban green coverage ratio.展开更多
基金funded by the Beijing Municipal Bureau of Landscape and Forestry and Major State Basic Research Development Program of China (No. 2009CB421106)
文摘A number of empirical studies in Euro-American region consistently demonstrate that, parks and open space have a positive impact on property values. However, this effect has not been investigated in Beijing, China. And the public and city managers often ignore or underestimate the role of urban green spaces. This paper surveyed the relationship between the average house prices of 76 residential areas and 14 parks in Beijing, and measured the total benefits of 18 070 ha public green spaces on residential property value, by using the inventory data of urban green spaces （2009） and GIS techniques. Results showed that the residential property values located 850-1604 meters away from parks achieved a 0.5% to 14.1% increase in sales price. The overall benefit of Beijing’s public green spaces on residential property was 2.86 billion CNY （1 USD=6.83 CNY）, and the average benefit of per hectare public green space was 0.16 million CNY, corresponding to 1.8-3.9 times of the maintenance cost of green space in Beijing. Therefore, there is chance for local governments to increase property tax revenues due to the creation and maintenance of urban green spaces.
文摘[Objective] To establish the comprehensive evaluation index system of public green area per capita as a quantitative mean of measuring ecological city and livable city. [Method]The GM (1, 1) forecasting model was set up according to statistics of public green area per capita in Xi’an City during 1996 and 2005, on this basis, the development trend of green area per capita in Xi’an City until 2015 were analyzed in case of no any changing factors or conditions. [Result]Grey forecasting model was established as, (t = 0, 1, …, n); model parameters as a = - 0.031 71, u = 4.139 17. After residual error test and posterior-variance-test, the precision of this model is proved fairly good. [Conclusions]According to this model, public green area per capita in Xi’an City will achieve 7.66 m2 by 2015, which is still far away from the livable city index (16 m2 per capita) and should be paid more attention by the local government, the construction of urban green areas should be further enhanced, more vegetations should be cultivated so as to improve the urban green coverage ratio.
