Creating a ‘Full-Age Sharing’ Community: Analysing the Results of the Supply–Demand Matching of Sports Spaces for All Residents

匹配(统计) 供求关系 共享经济 业务 环境经济学 按需 营销 产业组织 微观经济学 计算机科学 经济 商业 万维网 数学 统计
作者
Wenxin Huang,Jinsong Deng,Wenjun Fei
出处
期刊:Sustainability [MDPI AG]
卷期号:17 (4): 1370-1370
标识
DOI:10.3390/su17041370
摘要

Urban community open spaces are external spaces for public use that meet the needs of residents in their daily lives, and which gradually become the basic unit for activities and fitness. The arrival of the era of ‘national fitness’ requires the formation of public activity spaces that benefit all ages. Yet most construction targets of urban community open spaces are homogenised and are not diversified for all age groups. This phenomenon leads to a spatial and temporal mismatch between the allocation of space for community sports activities and the needs of residents. We quantitatively analysed time periods, demanded area and preferred types of activities required by all age groups. We further defined the objectives for the provision of physical activity functions in community open spaces. We also constructed a method for matching and optimising the supply and demand of sports and fitness functions in community open spaces, which was based on the calculation of supply and demand, the matching analysis model and the optimisation of supply and demand gaps. Accordingly, based on the distribution of demand points, we can clarify the amount and radius of each point, and calculate the matching relationship with the Maximum Capacity Limitation Coverage Model. When the implementation rate of demand at the covered points is less than 67%, it means that there is a demand gap. In response to the gap, optimisation has been achieved by establishing a time-sharing utilisation mechanism and using excessive supply space for renovation. The results of the study can help optimise the mismatch and long-term layout of physical activities for all residents in urban communities. The proposed sustainable optimising strategy suggests the importance and necessity of meeting the spatial needs of sports activities for all age groups in high-density cities with insufficient open spaces.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
mengnan发布了新的文献求助10
刚刚
科研通AI2S应助lll采纳,获得10
1秒前
nadeem发布了新的文献求助10
3秒前
彭于晏应助ccc采纳,获得10
3秒前
拿抓抓拿完成签到,获得积分10
4秒前
Lee完成签到,获得积分10
4秒前
树心发布了新的文献求助30
4秒前
FAST发布了新的文献求助10
4秒前
我是老大应助代纤绮采纳,获得10
5秒前
5秒前
实验室应助wuya采纳,获得200
5秒前
7秒前
大力完成签到,获得积分10
8秒前
8秒前
范祖光完成签到,获得积分20
9秒前
懵懂的树叶完成签到,获得积分10
9秒前
张雅露完成签到,获得积分10
10秒前
10秒前
大力的灵雁应助leo采纳,获得30
10秒前
12秒前
小名完成签到 ,获得积分10
12秒前
13秒前
花花完成签到,获得积分10
14秒前
14秒前
15秒前
orixero应助薛微有点甜采纳,获得10
15秒前
科研通AI2S应助qqesk采纳,获得10
16秒前
jiangzhi完成签到,获得积分10
17秒前
17秒前
苏su发布了新的文献求助10
18秒前
18秒前
mengnan完成签到,获得积分10
18秒前
小智发布了新的文献求助10
19秒前
19秒前
星辰大海应助YJ采纳,获得10
20秒前
小小酥发布了新的文献求助10
20秒前
FashionBoy应助sanxian采纳,获得10
22秒前
liian29应助风趣鹏飞采纳,获得10
22秒前
22秒前
小名完成签到 ,获得积分10
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6024555
求助须知:如何正确求助?哪些是违规求助? 7657137
关于积分的说明 16176703
捐赠科研通 5172947
什么是DOI,文献DOI怎么找? 2767816
邀请新用户注册赠送积分活动 1751306
关于科研通互助平台的介绍 1637515