| As an important tool of urban public service evaluation, accessibility has been a hot spot all the time. Along with the development of new-type urbanization in China and the application of sustainability in urban planning, the equity and the rationality of urban public service’s spatial distribution has aroused more and more attention, which is of great significance in efficiency of utility of urban resource and optimization of urban environment. Recently, researches in urban green space has become a hot field in urban planning and ecological service evaluation. Among thousands of methods for evaluation of urban green space, network analytic appeared to be one of the most popular methods.This article took Beijing, the capital of China, as the study area. Based on the satellite image data and the statistical data, combined with the OSM data, we constructed a dataset of spatial network of the urban area in Beijing, collected detailed information of green space, population, administrative division and each grade road network. The accessibility of urban green space in Beijing was analyzed and evaluated by ArcGIS. The area of urban green space per capita in Dongcheng District, Xicheng District, Chaoyang District, Haidian District, Fengtai District and Shijingshan District was 6.53 m2,3.53 m2,11.17 m2、12.79 m2、3.08 m2 and 10.74 m2 respectively. As we can seen, the spatial pattern of accessibility of urban area in Beijing appeared to be evenly distributed as a whole. Influenced by distribution of greenbelt, the traffic and the other factors, the accessibility declined from core area of Beijing to the edge, and the area of 4th level of accessibility in Xicheng District and Dongcheng District both reached 3%, higher than other district apparently. The percentage of Oth level of accessibility in Shijingshan District and Fengtai District were the highest, around 40% of the residents, who lived in these two district, had to spend more than one hour to the nearest urban green space by walk, of which the accessibility distribution were poor.Additionally, referred to the existing model, gravity model was applied to evaluate the urban green space in Beijing, obtained the practical accessibility distribution of study area. As shown in the results, on the condition of fixing area of every accessibility zone, the level of each district changed differently. Fengtai District changed the least, of which each level changed less than 1%. The status of Dongcheng District rose highest, the high accessibility area (the 4th level and the 3th level) shown the tendency of rising, whereas distribution of low accessibility area declined. The accessibility level declined apparently in Haidian District and Shijingshan Districe, in which the 1st and the 2nd green space were widespread, resulted in the level and gravity of actual public service were lower than the average.Overall, the changes of accessibility and distribution verified the results of green space level in each district. Despite of the human factors in layer processing and reclassification, the correction method solved the distortion problem in traditional network analytic. By means of understanding the changing tendency and magnitude, we could reveal the problems of regional public service infrastructure and resource planning, carry out specific planning and reconstruction, support the regional public resource configuration and updating, promote the regional development. |
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