Evaluations and optimization strategies of synergy degree of park green space based on balance of supply and demand for recreation

doi:10.12302/j.issn.1000-2006.202004036

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2021, Vol. 45 ›› Issue (2): 197-204.doi: 10.12302/j.issn.1000-2006.202004036

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Evaluations and optimization strategies of synergy degree of park green space based on balance of supply and demand for recreation

SHI Zhen¹(), XING Luhua¹, ZHENG Linlin¹, MU Bo², TIAN Guohang¹^,^*()

1. College of Landscape Architecture and Art, Henan Agricultural University, Zhengzhou 450002,China
2. College of Resources and Environment, Henan Agricultural University, Zhengzhou 450002,China

Received:2020-04-17 Accepted:2020-07-20 Online:2021-03-30 Published:2021-04-09
Contact: TIAN Guohang E-mail:744425268@qq.com;tgh@henau.edu.cn

Abstract

Abstract:

【Objective】With the balance and synergistic development between park green space and resident population as the goal, this study aims to improve the timeliness of park construction and provide a scientific basis for the construction of a low-carbon, efficient, economical and environment-friendly urban green space system.【Method】By selecting qualitative and quantitative indexes to construct an evaluation system for recreational supply and demand and the synergy degree quantitative model, this study used the main urban region of Zhengzhou City as an example, evaluated and analyzed the spatial differentiation of the synergy degree in the administrative units, and optimized the spatial pattern of park green space by combining upper planning and using the location distribution function in ArcGIS.【Result】The recreational supply and demand system of the main urban region of Zhengzhou City is of low-grade synergy level and hysteretic supply type, and a dislocation between supply and demand exists between old and new urban areas. There are spatial differences among the administrative districts. Jinshui District has the highest synergy level but the largest gap between supply and demand, which are opposite to those of the Jingkai District. Based on the optimization strategies for improving the quality of parks, increasing the number of parks, and integrating the affiliated green space, the increments of synergy of the Jinshui District and Jingkai District are 0.047 4 and 0.121 8, respectively.【Conclusion】The evaluation system and model can reflect the spatial pattern of the synergy between the supply and demand of park green space, so as to effectively guide the synergistic optimization of supply-side indexes, improve the supply capacity, and reduce the gap between supply and demand within each district and between new and old urban resources.

Key words: park green space, residential population, synergy degree between supply and demand, spatial pattern, the main urban region of Zhengzhou City

CLC Number:

TU986
S718

SHI Zhen, XING Luhua, ZHENG Linlin, MU Bo, TIAN Guohang. Evaluations and optimization strategies of synergy degree of park green space based on balance of supply and demand for recreation[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2021, 45(2): 197-204.

Figures/Tables 6

Table 1

Evaluation index system of recreational supply and demand system"

子系统 subsystem	序参量 order parameter	序参量指标 order parametric index	指标计算方式 calculation method of index	指标性质 properties of index	指标权重 index weight
公园绿地供给子系统	供给质量	公园个数	各行政区单元内的公园数量	正向	0.099 9
		公园面积	各行政区单元内的公园占地面积总和	正向	0.231 7
		公园形状	采用景观形状指数(landscape shape index,简称LSI,式中记为I_LSI)定量表公园形状差异^[20]。 $I LSI, i = 0.25 P i / A i$ 。式中: $I LS I, i$ 为公园i的形状指数,P_i为公园i的周长,A_i为公园i的面积	正向	0.087 1
		公园类型	按照《城市绿地分类标准(CJJ/T 85-2017)》^[21]将公园绿地分为综合公园、社区公园、专类公园和游园,对公园进行分类赋值量化	正向	0.064 5
		公园设施	参考《公园设计规范(GB 51192-2016)》^[22]中对于不同规模公园游憩、服务、管理设施的要求,对各公园的实际设施情况进行分级赋值量化	正向	0.120 0
		公园吸引度	根据公园的自然环境优势、历史人文优势、知名度、城市形象代表性对公园的吸引度进行分级赋值量化^[3]	正向	0.167 2
	供给效率	服务覆盖率	基于城市居住区、路网和公园出入口数据,利用ArcGIS软件中的网络分析功能计算出在步行15 min条件下,公园绿地可覆盖服务的居住区面积占总居住区面积的比例^[23]	正向	0.144 1
	供给效率	服务重叠率	步行15 min条件下公园绿地覆盖服务的居住区面积中重叠部分占总覆盖居住区面积的比例	负向	0.085 5
居民人口需求子系统	人口密度	人口密度	各行政区单元内单位土地面积的人口数量	正向	0.488 5
	人口结构	人口结构	各行政区单元内的老幼人口(65岁以上和0~14岁)数量占各区总人口数的比例^[24]	正向	0.336 2
	城镇化率	城镇化率	各行政区单元内的城镇人口数占各区总人口数的比例	正向	0.175 3

Table 1

Table 2

Fig.1

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References 26

[1]	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 Ecol Sin, 2010,30(19):5381-5390.
[2]	赵珂. 城乡空间规划的生态耦合理论与方法研究[D]. 重庆:重庆大学, 2007.
	ZHAO K. Research of city and countryside space planning’s ecology coupling theory and method[D]. Chongqing:Chongqing University, 2007.
[3]	金云峰, 李涛, 王俊祺, 等. 基于协同度量化模型的城乡绿地系统布局调适方法[J]. 中国园林, 2019,35(5):59-62.
	JIN Y F, LI T, WANG J Q, et al. Urban-rural green space system layout adjustment method based on synergy degree quantitative models[J]. Chin Landsc Archit, 2019,35(5):59-62.DOI: 10.19775/j.cla.2019.05.0059.
[4]	李虹, 张希源. 区域生态创新协同度及其影响因素研究[J]. 中国人口·资源与环境, 2016,26(6):43-51.
	LI H, ZHANG X Y. Research on regional ecological innovation synergy and its influencing factors[J]. China Popul Resour Environ, 2016,26(6):43-51.DOI: 10.3969/j.issn.1002-2104.2016.06.006.
[5]	王少剑, 方创琳, 王洋. 京津冀地区城市化与生态环境交互耦合关系定量测度[J]. 生态学报, 2015,35(7):2244-2254.
	WANG S J, FANG C L, WANG Y. Quantitative investigation of the interactive coupling relationship between urbanization and eco-environment[J]. Acta Ecol Sin, 2015,35(7):2244-2254.DOI: 10.5846/stxb201306021271.
[6]	韩增林, 赵启行, 赵东霞, 等. 2000—2015年东北地区县域人口与经济耦合协调演变及空间差异——以辽宁省为例[J]. 地理研究, 2019,38(12):3025-3037.
	HAN Z L, ZHAO Q H, ZHAO D X, et al. Population and economic coupling coordinated evolution and spatial differences at county level in Northeast China during 2000-2015:taking Liaoning Province as an example[J]. Geographical Research, 2019,38(12):3025-3037. DOI: 10.11821/dlyj020181154.
[7]	邢忠, 朱嘉伊. 基于耦合协调发展理论的绿地公平绩效评估[J]. 城市规划, 2017,41(11):89-96.
	XING Z, ZHU J Y. Evaluation on fair performance of urban green space based on coupling model of coordinated development theory[J]. City Plan Rev, 2017,41(11):89-96.DOI: 10.11819/cpr20171114a.
[8]	LEE G, HONG I. Measuring spatial accessibility in the context of spatial disparity between demand and supply of urban park service[J]. Landsc Urban Plan, 2013,119:85-90.DOI: 10.1016/j.landurbplan.2013.07.001.
[9]	郭松, 范泽源, 何家琪, 等. 基于网络分析法的南宁西乡塘区公园可达性[J]. 中国园林, 2019,35(1):68-72.
	GUO S, FAN Z Y, HE J Q, et al. On park accessibility in Xixiangtang District of Nanning based on network analysis[J]. Chin Landsc Archit, 2019,35(1):68-72.DOI: 10.3969/j.issn.1000-6664.2019.01.013.
[10]	吴健生, 司梦林, 李卫锋. 供需平衡视角下的城市公园绿地空间公平性分析——以深圳市福田区为例[J]. 应用生态学报, 2016,27(9):2831-2838.
	WU J S, SI M L, LI W F. Spatial equity analysis of urban green space from the perspective of balance between supply and demand:a case study of Futian District,Shenzhen,China[J]. Chin J Appl Ecol, 2016,27(9):2831-2838.DOI: 10.13287/j.1001-9332.201609.011.
[11]	许基伟, 方世明, 刘春燕. 基于G2SFCA的武汉市中心城区公园绿地空间公平性分析[J]. 资源科学, 2017,39(3):430-440.
	XU J W, FANG S M, LIU C Y. Spatial equity of public green in Wuhan central districts based on gravity two-step floating catchment area method[J]. Resour Sci, 2017,39(3):430-440.DOI: 10.18402/resci.2017.03.05.
[12]	陆砚池, 方世明. 均衡和效率双重视角下武汉市主城区公园绿地空间布局优化研究[J]. 长江流域资源与环境, 2019,28(1):68-79.
	LU Y C, FANG S M. Study on the spatial distribution optimization of park green spaces in the main city of Wuhan from the perspective of both equilibrium and efficiency[J]. Resour Environ Yangtze Basin, 2019,28(1):68-79.DOI: 10.11870/cjlyzyyhj201901008.
[13]	余柏蒗, 胡志明, 吴健平, 等. 上海市中心城区公园绿地对居住区的社会服务功能定量分析[J]. 长江流域资源与环境, 2013,22(7):871-879.
	YU B L, HU Z M, WU J P, et al. Analyzing the social service function of urban public green space for the residential districts quantitatively: a case study of the central area of Shanghai,China[J]. Resour Environ Yangtze Basin, 2013,22(7):871-879.
[14]	郑剑侠, 牛梦云. 城市绿地系统专项规划编制思维的转变——以宁波市绿地系统专项规划为例[J]. 规划师, 2016,32(2):65-70.
	ZHENG J X, NIU M Y. Transition of green system planning compilation:Ningbo case[J]. Planners, 2016,32(2):65-70.DOI: 10.3969/j.issn.1006-0022.2016.02.010.
[15]	刘滨谊, 姜允芳. 论中国城市绿地系统规划的误区与对策[J]. 城市规划, 2002,26(2):76-80.
	LIU B Y, JIANG Y F. On the mistake and the policy in the urban green space system planning[J]. City Plann Rev, 2002,26(2):76-80.DOI: 10.3321/j.issn:1002-1329.2002.02.018.
[16]	金云峰, 王小烨. 绿地资源及评价体系研究与探讨[J]. 城市规划学刊, 2014(1):106-111.
	JIN Y F, WANG X Y. A study of green space resources and the evaluation system[J]. Urban Plan Forum, 2014(1):106-111.DOI: 10.3969/j.issn.1000-3363.2014.01.016.
[17]	QI T, ZHANG G Q, WANG Y J, et al. Research on landscape quality of country parks in Beijing as based on visual and audible senses[J]. Urban For Urban Green, 2017,26:124-138.DOI: 10.1016/j.ufug.2016.12.007.
[18]	塔纳尔·R·奥兹迪尔. 城市景观的社会价值:美国德克萨斯州两个典型项目的绩效研究[J]. 景观设计学, 2016,4(2):12-29.
	TARNER R OZDIL. Social value of urban landscapes :performance study lessons from two iconic Texas projects[J]. Landscape Architecture Frontiers, 2016,4(2):12-29.
[19]	周海波, 郭行方. 国土空间规划体系下的绿地系统规划创新趋势[J]. 中国园林, 2020,36(2):17-22.
	ZHOU H B, GUO X F. Innovative trends of green space system planning in territorial spatial planning system[J]. Chin Landsc Archit, 2020,36(2):17-22.DOI: 10.19775/j.cla.2020.02.0017.
[20]	李双金, 马爽, 张永民. 郑州主城区公园绿地可达性与访问偏好匹配度的空间格局研究[J]. 地域研究与开发, 2019,38(2):79-85.
	LI S J, MA S, ZHANG Y M. Spatial patterns of the mismatch degree between the accessibility and the visiting preference for all parks in the main city of Zhengzhou[J]. Areal Res Dev, 2019,38(2):79-85.DOI: 10.3969/j.issn.1003-2363.2019.02.014.
[21]	中华人民共和国住房和城乡建设部. 城市绿地分类标准: CJJ/T 85—2017[S]. 北京: 中国建筑工业出版社, 2016.
	Ministry of Housing and Urban-Rural Development of the People's Republic of China. Standard for classification of urban green space: CJJ/T 85—2017[S]. Beijing: China Architecture & Building Press, 2016.
[22]	中华人民共和国住房和城乡建设部. 公园设计规范: GB 51192—2016[S]. 北京: 中国建筑工业出版社, 2017.
	Ministry of Housing and Urban-Rural Development of the People's Republic of China. Code for the design of public park GB 51192—2016[S]. Beijing: China Architecture & Building Press, 2017.
[23]	邢露华, 王永强, 刘曼舒, 等. 郑州市主城区公园绿地与居民人口分布均衡性研究[J]. 西北林学院学报, 2020,35(3):258-265.
	XING L H, WANG Y Q, LIU M S, et al. Evaluation on the balance of park greenspace and residential population distribution in the major urban area of Zhengzhou City[J]. J Northwest For Univ, 2020,35(3):258-265.DOI: 10.3969/j.issn.1001-7461.2020.03.41.
[24]	王敏, 朱安娜, 汪洁琼, 等. 基于社会公平正义的城市公园绿地空间配置供需关系:以上海徐汇区为例[J]. 生态学报, 2019,39(19):7035-7046.
	WANG M, ZHU A N, WANG J Q, et al. Supply and demand analysis of urban park distribution based on social equity and justice: a case study of Xuhui District,Shanghai[J]. Acta Ecol Sin, 2019,39(19):7035-7046.DOI: 10.5846/stxb201808021645.
[25]	穆博, 李华威, AUDREY L M, 等. 基于遥感和图论的绿地空间演变和连通性研究:以郑州为例[J]. 生态学报, 2017,37(14):4883-4895.
	MU B, LI H W, AUDREY L M, et al. Dynamic changes of green-space connectivity based on remote sensing and graph theory:a case study in Zhengzhou,China[J]. Acta Ecol Sin, 2017,37(14):4883-4895.DOI: 10.5846/stxb201604080644.
[26]	张云路, 李雄. 基于供给侧的城市绿地系统规划新思考[J]. 中国城市林业, 2017,15(1):1-4.
	ZHANG Y L, LI X. New thought on urban green space system planning based on the perspective of supply side[J]. J Chin Urban For, 2017,15(1):1-4.DOI: 10.3969/j.issn.1672-4925.2017.01.001.

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协同度D synergy degree D	协同等级 synergy level	协同类型synergy type
协同度D synergy degree D	协同等级 synergy level	f₁(x)>f₂(x)	f₁(x)<f₂(x)	f₁(x)=f₂(x)
0.90≤D≤1.00	优质协调	需求滞后	供给滞后	供需平衡
0.80≤D<0.90	良好协调
0.70≤D<0.80	中级协调
0.60≤D<0.70	低级协调
0.50≤D<0.60	初级协调
0.40≤D<0.50	濒临失调
0.00≤D<0.40	失调	需求损益	供给损益	供需共损

Evaluations and optimization strategies of synergy degree of park green space based on balance of supply and demand for recreation

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