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城市体力活动空间供需均衡与空间优化研究
蔚 芳1, 徐雯雯2, 胡晓鸣3, 黎小龙4, 詹小稳2
1.通讯作者):浙江大学建筑工程学院,副教 授,weif@zju.edu.cn;2.浙江大学建筑工程学院,硕士研究生;3.浙江大学建筑工程学院,副教授;4.中国城市规划设计研究院西部分院,中级工 程师
摘要:
随着城市向快节奏、机动化发展,体力 活动缺乏引发的慢性病对公共健康造成巨大威 胁。科学选择运动类型和运动量是改善慢性病 的重要途径,绿色空间和体育空间是城市中重 要的体力活动空间,其供需关系直接影响着体力 活动水平。基于“慢性病—体力活动—空间供 需均衡”的内在逻辑,以杭州市拱墅区为例,本 研究量化评估了两类体力活动空间的供需特征 及差异,并针对特定群体需求偏好,探究不同空 间类型供给与老年人、青少年需求的格局特征。 研究表明:第一,体力活动空间的供需分布不均 衡,总体呈现“南北高,东西低”的态势;第二, 绿色空间和体育空间供需均衡度较高的社区分 别聚集在北部和南部,存在明显的空间极化;第 三,体力活动空间供需均衡并不代表空间类型 供给和群体偏好相互匹配,部分高均衡度的社区也难以满足老年人绿色锻炼或青少年中高强度的活动需求。建议从人与空间精细化匹配、绿色 空间运动化、绿体空间耦合、完善空间共享模式等方面进行空间优化,为城市规划的公共健康促 进提供新的视角。
关键词:  体力活动空间  城市绿色空间  体育空间  供需均衡  空间优化
DOI:10.13791/j.cnki.hsfwest.20220312
分类号:
基金项目:浙江省自然科学基金资助项目(LY19E080025); 浙江省教育厅科研项目资助(Y202045580)
The Supply-Demand Balance and Spatial Optimization of Urban Physical Activity Space
WEI Fang,XU Wenwen,HU Xiaoming,LI Xiaolong,ZHAN Xiaowen
Abstract:
Rapid urbanization has changed people’s traditional living habits. Non-communicable diseases (NCDs) attributable to lack of physical activity (PA) threaten public health. Scientific selection of the types and amount of PA are important to reduce NCDs’ effects. Considerable evidence has shown the association between PA and the built environment according to the social ecology model. Urban green spaces (UGS) and recreational infrastructure (RI) are important for PA, and provide residents not only pleasant outdoor exercise spaces, but support a variety of medium and vigorous intensity physical activities (MVPA). This study defines UGS and RI jointly as PA spaces that allow residents to engage in recreational MVPA, including parks, forests, sports venues, and community PA facilities. These spaces’ supply- demand balance (SDB) influences the level of PA directly. Nevertheless, previous studies have seldom addressed ways to arrange the UGS and RI as an integrated system to explore the SDB and ways to identify the effect of UGS and RI’s different SDB on PA. Therefore, this study’s goal is to explore the features and differences in PA spaces’ SDB, which can provide new ideas for healthy city planning, as well as compensate for the deficiencies of existing research systems, planning practices, technology, and methods, which is of great significance to the perfection of theoretical systems, spatial planning, and the promotion of public health. Based upon the “NCDs—PA—SDB” relation, this study constructs a space supply-demand indicator system, including UGS’ environmental quality, accessibility, and walkability, and RI’s scale, accessibility, and equity. Then, taking Gongshu District, Hangzhou as a case, it uses the Gaussian-based two-step floating catchment area, centralization index, and other methods to evaluate spatial SDB’s features. Further, it uses bivariate local Moran’s I to explore the SD pattern under the elderly and adolescents’ demands. The study elaborates three main elements of contents on the community scale: the SDB forms three dimensions, including UGS, RI, and PA spaces; spatial SD’s different effects on PA; the pattern characteristics of spaces and certain groups of people. The results showed that: 1) Different SDB spatial types differ, and the spatial indicators also lack high synergy. PA spaces’ SDB is not high, and a mismatch also exists in their SDB, with higher SDB values in the south and north, and lower values in the east and west. High SDB communities are distributed near ecological parks, sports spaces, and waterfrontspaces; 2) Spatial polarization exists. Northern communities’ UGS have the highest SDB value, while those in the south have the highest RI value, and 3) Although the supply and demand are balanced, the spaces do not satisfy certain groups of people. The spaces that have typical SDB features have different effects on the elderly or adolescents’ PA level. It is suggested that space optimization should be carried out by matching people and spaces, adding sports facilities in UGS, integrating UGS and RI, and sharing space to provide a new perspective to promote public health in urban planning.
Key words:  Physical Activity Space  Urban Green Space  Recreational Infrastructure  Supply-Demand Balance  Spatial Optimization