Relationship between supply and demand of green open space in Haidian District of Beijing based on accessibility

Meng Lu; Li Liang

doi:10.12171/j.1000-1522.20210530

Journal of Beijing Forestry University > 2023 > 45(2): 108-119. > DOI: 10.12171/j.1000-1522.20210530

Meng Lu, Li Liang. Relationship between supply and demand of green open space in Haidian District of Beijing based on accessibility[J]. Journal of Beijing Forestry University, 2023, 45(2): 108-119. DOI: 10.12171/j.1000-1522.20210530

Citation:

PDF (4275 KB)

Relationship between supply and demand of green open space in Haidian District of Beijing based on accessibility

Meng Lu,
Li Liang^,

School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China

More Information

Received Date: December 13, 2021
Revised Date: June 09, 2022
Accepted Date: January 10, 2023
Available Online: February 13, 2023
Published Date: February 24, 2023

Graphical Abstract

Abstract

Abstract

Objective Due to the limited space of urban land, the mismatch between the supply and demand of urban green space and the population, and the inequity are increasingly emerging. The current quantitative research on the relationship between supply and demand of green space mainly takes urban parks as the research object, ignoring the green open space that residents use more frequently, such as mountains, forests, riverside green spaces, and greenways in cities. The balance between supply and demand of urban green open space is the key to improving residents’ sense of acquisition and happiness in daily recreational space, and is of great significance to future urban green space planning.
Method According to the definition and classification of urban green open space, the Gaussian two-step mobile search method was optimized, using high-precision population raster data and park POI data, taking Haidian District of Beijing as an example, from the population demand, accessibility level, the supply-demand relationship and spatial configuration of green open space in Haidian District were analyzed from the aspects of supply blind area and spatial autocorrelation.
Result The central urban area in the southeast of Haidian District had the largest demand, but the smallest supply; the northwest had the smallest demand, but the largest supply; in terms of accessibility, the overall area was relatively low, and 67% of the residents recreation experience level did not reach the average, and the distribution showed a polarized trend of high in the northwest and low in the southeast, with the northwest and central regions having the highest accessibility and the southeast having the lowest accessibility. There was a 23% supply blind space in the whole area. In the west and southeast, there was a serious spatial mismatch of oversupply and undersupply.
Conclusion (1) The accessibility of Haidian District is generally low, with a trend of high in the northwest and low in the southeast. The areas with high accessibility index are concentrated in Xiangshan Street and Wenquan Town; the low value of accessibility is concentrated in Xiangshan Street and Wenquan Town. The areas are concentrated in Qinghe Street, Xisanqi Street, Shangdi Street, and Zhongguancun Street. (2) The relationship between resource allocation and supply and demand is seriously unbalanced, and the space where supply exceeds demand is mainly concentrated in the southeast; the space where supply exceeds demand is mainly concentrated in the northwest. (3) Compared with park green space and small green space, urban forests, greenways, and riverside green spaces have a greater impact on the supply and demand relationship of urban green space. (4) In terms of the distribution of supply blind spots, according to the reasons for the formation of supply blind spots in various regions, we put forward the future optimization directions to improve the balance of supply and demand of green open space, such as exploiting potential space, utilizing vacated space, establishing convenient transportation, and utilizing social forces, so as to provide a basis for urban green space construction and the improvement of residents’ living well-being.
- green space,
- park,
- urban green open space,
- accessibility,
- supply and demand relationship,
- two mobile search methods

FullText(HTML)

References (27)

References

[1]	王绍增, 李敏. 城市开敞空间规划的生态机理研究(下)[J]. 中国园林, 2001(5): 33−37. Wang S Z, Li M. Study on the principle of urban open space ecological planning (Part II)[J]. Chinese Landscape Architecture, 2001(5): 33−37.
[2]	Timperio A, Ball K, Salmon J, et al. Is availability of public open space equitable across areas?[J]. Health & Place, 2007, 13(2): 335−340.
[3]	章佳民. 基于改进可达性的城市公共绿色空间公平性研究[D]. 杭州: 浙江大学, 2020. Zhang J M. Study on equity of urban public green space based on improved accessibility estimation: a case of Shanghai[D]. Hangzhou: Zhejiang University, 2020.
[4]	唐勇. 城市开放空间规划及设计[J]. 规划师, 2002(10): 21−27. Tang Y. Planning of urban open space and its design[J]. Planners, 2002(10): 21−27.
[5]	王晓俊, 王建国. 关于城市开放空间优先的思考[J]. 中国园林, 2007(3): 53−56. Wang X J, Wang J G. On the priority of urban open spaces[J]. Chinese Landscape Architecture, 2007(3): 53−56.
[6]	韩西丽, 俞孔坚. 伦敦城市开放空间规划中的绿色通道网络思想[J]. 新建筑, 2004(5): 7−9. doi: 10.3969/j.issn.1000-3959.2004.05.002 Han X L, Yu K J. The Network of greenway in London’s open space planning[J]. New Architecture, 2004(5): 7−9. doi: 10.3969/j.issn.1000-3959.2004.05.002
[7]	陈筝, 赵双睿. 提升心理健康的城市绿色开放空间规划设计[J]. 城市建筑, 2018(24): 51−56. doi: 10.3969/j.issn.1673-0232.2018.24.010 Chen Z, Zhao S R. Enhancing planning and design of mental-health urban green open spaces[J]. Urbanism and Architecture, 2018(24): 51−56. doi: 10.3969/j.issn.1673-0232.2018.24.010
[8]	姚亚男, 李树华. 基于公共健康的城市绿色空间相关研究现状[J]. 中国园林, 2018, 34(1): 118−124. doi: 10.3969/j.issn.1000-6664.2018.01.029 Yao Y N, Li S H. Review on research of urban green space based on public health[J]. Chinese Landscape Architecture, 2018, 34(1): 118−124. doi: 10.3969/j.issn.1000-6664.2018.01.029
[9]	马明, 蔡镇钰. 健康视角下城市绿色开放空间研究: 健康效用及设计应对[J]. 中国园林, 2016, 32(11): 66−70. Ma M, Cai Z Y. Research on health and urban green open space: health benefits and design strategy[J]. Chinese Landscape Architecture, 2016, 32(11): 66−70.
[10]	王忙忙, 王云才. 平衡还是匹配?生态智慧引导下的公园绿地供需关系多情景分析与优化[J]. 中国园林, 2021, 37(7): 37−42. doi: 10.19775/j.cla.2021.07.0037 Wang M M, Wang Y C. Balance or match? Multi-scenario analysis and optimization of supply and demand of park green space with ecological wisdom[J]. Chinese Landscape Architecture, 2021, 37(7): 37−42. doi: 10.19775/j.cla.2021.07.0037
[11]	毕晨. 基于可达性的城市绿色开放空间游憩服务绩效评价与优化研究[D]. 南京: 南京林业大学, 2019. Bi C. Performance evaluation and optimization of urban green open space recreation service based on accessibility: taking the downtown area of Nanjing City as an example[D]. Nanjing: Nanjing Forestry University, 2019.
[12]	Walter G H. How accessibility shapes land use[J]. Journal of the American Institute of Planners, 1959, 25(2): 73−76. doi: 10.1080/01944365908978307
[13]	Knaapen J P, Scheffer M, Harms B. Estimating habitat isolation in landscape planning[J]. Landscape & Urban Planning, 1992, 23(1): 1−16.
[14]	俞孔坚, 段铁武, 李迪华, 等. 景观可达性作为衡量城市绿地系统功能指标的评价方法与案例[J]. 城市规划, 1999(8): 7−10, 42, 46. Yu K J, Duan T W, Li D H, et al. Landscape accessibility as a measurement of the function of green space system[J]. City Planning Review, 1999(8): 7−10, 42, 46.
[15]	Luo W, Wang F. Measures of spatial accessibility to health care in a GIS environment: synthesis and a case study in the Chicago Region[J]. Environment and Planning B: Planning and Design, 2016, 30(6): 865−884.
[16]	Oh K, Jeong S. Assessing the spatial distribution of urban parks using GIS[J]. Landscape and Urban Planning, 2007, 82(1): 25−32.
[17]	刘常富, 李小马, 韩东. 城市公园可达性研究: 方法与关键问题[J]. 生态学报, 2010, 30(19): 5381−5390. Liu C F, Li X M, Han D. Accessibility analysis of urban parks: methods and key issues[J]. Acta Ecologica Sinica, 2010, 30(19): 5381−5390.
[18]	Dai D. Black residential segregation, disparities in spatial access to health care facilities, and late-stage breast cancer diagnosis in metropolitan Detroit[J]. Health & Place, 2010, 16(5): 1038−1052.
[19]	翟宇佳, 周聪惠. 基于实例的城市公园可达性评价模型比较[J]. 中国园林, 2019, 35(1): 78−83. Zhai Y J, Zhou C H. Comparison among urban park accessibility evaluation models based on empirical cases[J]. Chinese Landscape Architecture, 2019, 35(1): 78−83.
[20]	杨建思, 宋岑岑, 焦洪赞. 基于可达性测度的公园绿地服务公平性时空分析[J]. 测绘与空间地理信息, 2017, 40(12): 21−24. doi: 10.3969/j.issn.1672-5867.2017.12.006 Yang J S, Song C C, Jiao H Z. Spatial-temporal analysis of green space service equity based on accessibility[J]. Geomatics & Spatial Information Technology, 2017, 40(12): 21−24. doi: 10.3969/j.issn.1672-5867.2017.12.006
[21]	Luo W, Qi Y. An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians[J]. Health & Place, 2009, 15(4): 1100−1107.
[22]	Dai D. Racial/ethnic and socioeconomic disparities in urban green space accessibility: Where to intervene?[J]. Landscape and Urban Planning, 2011, 102(4): 234−244. doi: 10.1016/j.landurbplan.2011.05.002
[23]	李孟桐, 杨令宾, 魏冶. 高斯两步移动搜索法的模型研究: 以上海市绿地可达性为例[J]. 地理科学进展, 2016, 35(8): 990−996. doi: 10.18306/dlkxjz.2016.08.008 Li M T, Yang L B, Wei Y. Improved Gaussian based 2-step floating catchment area method: a case study of green space accessibility in Shanghai[J]. Progress in Geography, 2016, 35(8): 990−996. doi: 10.18306/dlkxjz.2016.08.008
[24]	任家怿, 王云. 基于改进两步移动搜索法的上海市黄浦区公园绿地空间可达性分析[J]. 地理科学进展, 2021, 40(5): 774−783. doi: 10.18306/dlkxjz.2021.05.005 Ren J Y, Wang Y. Spatial accessibility of park green space in Huangpu District of Shanghai based on modified two-step floating catchment area method[J]. Progress in Geography, 2021, 40(5): 774−783. doi: 10.18306/dlkxjz.2021.05.005
[25]	Tenerelli P, Gallego J F, Ehrlich D. Population density modelling in support of disaster risk assessment[J]. International Journal of Disaster Risk Reduction, 2015, 13: 334−341. doi: 10.1016/j.ijdrr.2015.07.015
[26]	赵兵, 李露露, 曹林. 基于 GIS 的城市公园绿地服务范围分析及布局优化研究: 以花桥国际商务城为例[J]. 中国园林, 2015, 31(6): 95−99. Zhao B, Li L L, Cao L. GIS-based analysis of city park green space service range and layout optimization: a case study in Huaqiao international business city[J]. Chinese Landscape Architecture, 2015, 31(6): 95−99.
[27]	魏冶, 修春亮, 高瑞, 等. 基于高斯两步移动搜索法的沈阳市绿地可达性评价[J]. 地理科学进展, 2014, 33(4): 479−487. doi: 10.11820/dlkxjz.2014.04.005 Wei Y, Xiu C L, Gao R, et al. Evaluation of green space accessibility of Shenyang using Gaussian based 2-step floating catchment area method[J]. Progress in Geography, 2014, 33(4): 479−487. doi: 10.11820/dlkxjz.2014.04.005

Cited By

Cited by

Periodical cited type(2)

1.	薛雨，姚金明，卢庆辉，杨忍. 基于NDVI和深度学习的多源影像冬小麦提取研究. 现代信息科技. 2023(02): 120-122 .
2.	陈玉麟，田茂元. 提升江津区林业碳汇能力的思考. 林业勘查设计. 2023(03): 71-75 .

Other cited types(3)

Get Citation

PDF

XML

Article views (693) PDF downloads (100) Cited by(5)

Turn off MathJax

Article Contents

Abstract

References

Relationship between supply and demand of green open space in Haidian District of Beijing based on accessibility

Abstract

References

Cited by

Periodical cited type(2)

Other cited types(3)

Catalog

Export File

Citation

Format

Content