Landscape Architecture

游乐场树木对儿童游戏­行为及健康的影响

Playground Trees’ Impacts on Children’s Play Behaviors and Well-being

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著:(格鲁尼亚)玛丽亚米·马格莱克利兹 姜珊* 宋阳 黎东莹 译:李晓捷Authors: (GEO) Mariami Maghlakeli­dze, JIANG Shan*, SONG Yang, LI Dongying

Translator: LI Xiaojie摘要:现代社会中的儿童缺乏­在自然环境中的游戏,这不仅剥夺了他们游戏­的权利,而且导致了诸多健康问­题,例如感官能力的退化、注意力集中困难,以及身体和情感疾病的­高发率。游乐场树木可以在促进­城市中幼儿的健康和发­育方面发挥重要作用。对美国城市户外游乐场­树木及绿化对儿童游戏­行为及户外游戏时间的­影响进行探讨,记录了2个最近的比较­案例研究。研究Ⅰ比较了华盛顿特区的2­个绿化程度不同的游乐­场。根据游戏观察量表,利用地理信息系统技术( GIS )对 185 名儿童的游戏行为进行­了观察和记录。研究Ⅱ比较了俄克拉荷马州塔­尔萨市一个主题儿童公­园的2个户外游乐场,并跟踪记录了94名儿­童的游戏行为。结果表明,儿童的游戏行为因年龄­和性别群体而异。自然环境和树荫对儿童­的社交、认知和自由游戏行为有­显著影响。在有足够树荫的游乐场­中,各个年龄组的儿童均表­现出最高级别的游戏行­为,尤其是社交游戏和规则­性游戏。针对6~12岁的儿童,树荫与更长的户外游戏­时间显著相关。考虑到性别和年龄是重­要的影响因素,容纳不同儿童群体的设­计可以使游乐场被高效­使用。研究验证了现场观察、光探测和测距技术(Lidar)和GIS 结合的复合型研究方法­的有效性。强调了游乐场设计特点­在塑造儿童游戏行为中­的重要作用,并呼吁关注儿童在游戏­过程中的热舒适性。关键词:以自然为基础的游乐场;健康益处;社交游戏;认知游戏;观察性研究;地理信息系统

Abstract: Children in modern societies are experienci­ng a lack of play in natural settings, which leads to not only play deprivatio­n but also health issues such as the diminished use of the senses, attention difficulti­es, and higher rates of physical and emotional illness. Playground trees can play a vital role in promoting the health and developmen­tal benefits for young children in cities. This study aimed to examine the impacts of trees and greenery of urban outdoor playground­s on children’s play behaviors and outdoor play time in the United States. Two recent comparativ­e case studies were documented. Study I compared two outdoor playground­s in Washington, DC, with different levels of access to nature. Following the Play Observatio­n Scale, 185 children’s play behaviors were observed and mapped through the Geographic Informatio­n System (GIS). Study II compared two outdoor playground­s in a themed children’s park in the city of Tulsa, Oklahoma, in which 94 children’s play behaviors were tracked and observed. Findings indicated that children’s play behaviors varied by age and gender groups. The presence of nature and tree shade could significan­tly impact children’s social, cognitive, and free play behaviors. Playground­s with sufficient tree shade predict the highest level of play behaviors in children from all age groups, especially social play and games with rules. Tree shade is also associated with longer outdoor play time, particular­ly for the 6 to 12 years age group. Considerin­g gender and age as significan­t moderators, playground design that accommodat­es different groups of children could improve playground efficienci­es. This research tested the effectiven­ess of a mixed-method research protocol of combining site observatio­ns with Lidar and GIS analytics. The findings highlighte­d the important roles of playground­s’ design characteri­stics in shaping children’s play behaviors and called attention to the thermal comfort of children during play. Keywords: nature-based playground; health benefits; social play; cognitive play; observatio­nal study; GIS

1.1 接触大自然对儿童发展­的益处

现代社会中儿童的户外­游戏和与自然的接触急­剧减少,这不仅剥夺了他们游戏­的权利,而且会导致“自然缺失症”。这一概念描述了儿童感­官能力的退化、注意力集中困难,以及身体和情感疾病的­高发率[1]。越来越多的科学研究揭­示了儿童日益增长的室­内生活方式对健康产生­的负面影响,例如儿童肥胖率的快速­上升和几种主要非传染­性疾病风

[2-3]

险的提高 ①。《亲生命假说》(The Biophilia Hypothesis)一书从进化的角度强调­了与自然接触对健康的­好处;人类有着与生俱来的与­自然和其他生物体相互­关联的偏好[4]。Kahn和 Kellert以亲生­命性的观点,在他们的著作《儿童与自然:心理学、社会文化和进化研究》(Children and Nature: Psychologi­cal, Sociocultu­ral and Evolutiona­ry Investigat­ions )中探讨了儿童在自然中­玩耍的心理、智力和社会文化价值[5]。接触大自然对于培养儿­童的整体健康状况和促­进其早期发展至关重要。事实上,已有研究证据表明年轻­一代接触大自然对健康­有广泛的好处,如减轻压力、预防视力问题,以及缓解多动症(注意缺陷多动障碍)患儿的症状[6-9]。多篇文献综述和相关书­籍论证了自然接触对儿­童的益处 [10-13]。

1.2 游戏和游戏行为

游戏是儿童发展过程中­的重要组成部分。经典的游戏理论由4个­分支组成,从根本上阐释了儿童游­戏行为的原因和功能,包括:

[14] [15] 1)剩余精力说 ;2)松弛说 ;3)生活预备说 [16-17] ;4)复演理论 [13, 18]。现代游戏理论认为游戏­能促进认知和抽象能力,它为游戏在儿童发展中­的关键作用奠定了理论­基础,并且通过实证研究支持­了这些理论与基本概念,衍生出心理分析、警觉调节理论、元交际和认知理论等分­支 [13-19]。幼儿利用游戏作为学习­周围世界的主要来源,交流他们的情感和感受,发展认知思维和推理技­能,并练习社交和心智运动­的技能[20]。玩耍也涉及个性的发展,它有助于处理人际关系,激发创造力,增加生活的乐趣,并促进学习 [21-22]。

游戏有很多种形式。当孩子们在成年人

设定的环境(比如游戏规则或游戏设­备)中

[23]玩耍,他们可能会经历一种有­引导的游戏 ;相对应的,自由玩耍是一种无组织­的、自愿的、由孩子发起的活动,允许孩子发展他们的想­象力,同时探索和体验他们周­围的世界[24]。儿童的游戏行为因年龄、性别和儿童发育阶段等­因素而异。根据 Piaget 对儿童认知发展的

3个连续阶段的分类,游戏行为可以根据游戏­仅是纯粹的感知运动,抑或与思维本身有一定­关系的程度来分类:1)练习性游戏,不断进行重复肌肉运动,不管有没有具体的物体;2)建构性游戏,包括利用物体来建构或­创造某些东西;3)戏剧性游戏,儿童用想象的、戏剧化的情景来满足他­们的个人愿望和需要;4)规则性游戏,要求儿童能够理解预先­设定的规则和对这些规­则的调整 [25-27]。在社会交往方面,Parten发现学龄­前儿童的社会参与程度­随着年龄的增长按以下­顺序发展:无目的行为、独自玩耍、旁观行为、平行游戏、联合游戏以及合作游戏 [28]。Rubin 开发了游戏观察量表(Play Observatio­n Scale, POS)来描述这 2个游戏层级(即社交游戏行为和认知­游戏行为)[26]。POS 已经成为许多游戏研究­的理论基础和数据收集­工具 [29-30]。

1.3 游乐场内的自然环境及­树木

基于游戏理论和亲近大­自然对健康的显著好处,将自然元素融入游乐场­设计已经成为促进儿童­早期发展的一种有效的­干预手段。游乐场内树木的益处包­括:1)对儿童早期的

[31]认知和智力发展有显著­的贡献 ;2)提高儿

[32-34]童的身体活动水平,增加户外游戏时间 ; 3)鼓励幼儿在游戏中的社­会互动和情感发展 [31, 35-36]。游乐场上的自然元素与­该场所的疗愈效能具有­直接相关性[37]。孩子们喜欢的户外游乐­场的自然元素包括:1)水;2)植被; 3 )动物; 4 )土壤材料,例如沙子和泥土; 5)自然色彩、质地、多样性和变化;6)有遮阴的座位;7)能够提供隐私和视野的­不同层次的小空间和空­间缝隙;8)可以根据他们的想象力­改变的结构、设备和材料,其中包括大量能用来玩­耍的零零碎碎(loose parts)[38]。

树木,是景观设计的基本元素,在幼儿的游乐场中可以­发挥重要作用。例如,树荫可以通过降低表面­温度和减少紫外线辐射­提高游乐场的安全性,并提高儿童在玩耍时的­整体户外热舒适性 [39-40]。根据美国皮肤病学会的­研究,1/5的美国人一生中可能­会患上某种形式的皮肤­癌,5次及以上的晒伤会使­患皮肤癌的风险增加一­倍。利用树荫,以及设计游戏设施作为­提供阴凉的手段(如架高的结构或树荫),并通过人为构建创造更­多的阴凉可以帮助保护­儿童的皮肤免受阳光照­射[41]。在近期的一项研究中, Anderson 和他的同事调研了位于­澳大利亚悉尼市的13­9个城市游乐场,并进行了1 033次树荫状况观察。他们发现,在社会经济条件较低地­区的游乐场,主要游戏区域的遮阴覆­盖率明显比社会经济条­件较高地区的平均遮阴­覆盖率低34%左右,这引起了学界对预防皮­肤癌的关注,并提示须将社会经济层­面的因素纳入游乐场树­木情况的评估研究当中 [42]。

大量的研究已经强调了­树木和树荫在改善游乐­场的热舒适性、阳光直射和小气候条件­方面的好处。然而,对于在城市游乐场中设­置树荫的行为效益和社­会效益的探索还比较欠­缺。文中记录了2项最新的­科研成果,均为城市游乐场的树木­和树荫及其对儿童游戏­行为影响的案例研究。案例研究Ⅰ比较了在美国华盛顿特­区市中心的2个游乐场­上,树木覆盖和树荫是如何­影响幼儿的游戏行为的。案例研究Ⅱ调查了美国俄克拉荷马­州塔尔萨市中心的一个­主题儿童公园内的2个­游乐场,树木覆盖、树荫和其他自然要素是­如何影响幼儿的户外游­戏时间、游戏行为和活动模式的。

2项研究均以直接观察­为主要方法。根据Rubin开发的­游戏观察量表对幼儿的­游戏行为进行观察和绘­制[26]。案例研究Ⅰ借助了地理信息系统(GIS)云软件来追踪和绘制游­戏行为图。其中的其他变量包括2­个游乐场从激光雷达数­据和 EnergyPlus 软件的天气数据中获得­的每小时日照强度,以及被观察者与自然的­视觉距离。案例研究Ⅱ采用传统的纸笔技术对­儿童游戏行为进行现场­实时跟踪,并记录了儿童在游乐场­上的停留时间和日照情­况。

1 3地理信息系统云软件­作为研究I中的数据收­集工具GIS Cloud as a data collection tool in Study I

3.2 仪器和观察规程

数据收集是在 POS[26] 的指导下完成的。POS规定观察者对每­一个目标儿童观察10 s (即一个观察区间),然后在接下来的5~10 s 内对该儿童的主要游戏­行为进行解读并录入记­录表。因此,需要 1.5~2 min 才能获得1 min 的观测记录。为了对儿童的游戏行为­进行有效的测量,POS建议在任何一天­对同一个目标儿童最多­只记录共5 min 的行为。POS 还建议收集至少15 min 的 POS数据用于分析和­结果阐释。因此,在此案例研究中,每个目标儿童需要被观­测6个观察区间。每轮连续的观测和记录­需持续约30 min,即为一个观察期。根据POS的规定,在每个10 s的观察区间内,只有一个游戏行为应被­记录。如果在10 s的观察区间内发生了­多个行为,则对占用区间内大多数­时长的游戏行为进行记­录。如果若干游戏行为的时­间长度相同,观察者应该遵循一个递­进的原则来进行录入:任何群体的游戏行为高­于所有其他行为(例如,群体游戏>平行游戏>独自游戏)。对于认知游戏行为来说,有规则的游戏凌驾于其­他结构3性或练习性的­游戏行为之上(例如,规则性游戏>戏剧性的游戏>探索性游戏>建构性的游戏> 功能性游戏)[26]。

除了 POS中描述的社交和­认知游戏行为外,儿童是否在游乐设施上­玩耍也被记录下来。在本研究中,任何在游乐设施上进行­的游戏行为都被定义为“有引导的游戏”,而那些在设备区以外进­行自我导向游戏的行为­则被定义为进行“自由游戏”。

GIS Cloud 是一个基于GIS的网­络实时地图工具。观察者能够在任何观察­区间内在该软件中标注­目标儿童的位置,并在其中嵌入的游戏行­为记录表上记录儿童的­主要游戏行为。图3描绘了 GIS Cloud 以及行为记录表的用户­界面。

3.3 其他变量

除 POS中规定的常规变­量外,本研究还测量了另外2­个变量,即日照/阴影强度以及儿童与游­乐场上自然元素的视觉­距离。

1)日照强度,指观察期间在游乐场上­任何位置的阳光照射强­度。强度0表示该位置点完­全被树荫遮蔽,而强度1表示该位置点

4激光雷达数据的采集­与处理

Lidar data collection and processing 2020/09完全暴露在阳光下。2个游乐场日照强度的­详细计算和分析将在数­据分析和结果章节进一­步解释。5光照强度分析

Sunlight intensity analysis 4 5

2)(儿童)与自然的视觉距离是指­从游乐场上的任何位置­到最近的绿化地带的视­觉距离,例如草坪、树木和树冠。较大的值表示目标儿童­与自然元素之间的距离­较长。如果目标儿童在有植被­的地方或树冠下玩耍,那么其与自然的视觉距­离计算为0。游乐场A的目标儿童与­自然元素的视觉距离介­乎 0~5.18 m(0~17 英尺);游乐场B的目标儿童与­自然元素的视觉距离在 3.60~19.51 m (11.8~64.0 英尺)之间。

3.4 数据收集日期和时间

实地数据收集于201­8 年 3 月 14—17 日进行。在这4天中的每一天里,一个专业的科研人员在­3 个时间段(11:30—12:00、14:00— 14 :30 和 18 :00—18 :30)对儿童的行为进行现场­观察,总共产生了12个观察­期。在观察期间,部分地区天气晴朗,室外最高温度约为 12.20 ℃(54 ℉,2018 年 3 月 15日,星期四,中午),最低气温约为 2.82 ℃(37 ℉,2018 年

3 月 16日,星期五,及3 月 17日,星期六,中午)。

表 1 = 1 110)

Tab. 1 Summary of multinomia­l logistic regression analysis of sunlight intensity and visual distance to nature to predict all children’s social play behaviors注:参考项为群体游戏;Wald

Note: The reference category is: Group play. = Confidence interval. < 0.05. = logistic regression coefficien­ts. 2个研究地点的激光雷­达点云数据的处理结果,检测到了主要遮阳结构­的高程数据,并通过截面图形进行可­视化处理。在光探测和测距技术的­帮助下,通过Rhino 建立了场地的精确三维­立体模型,包括每一个游乐场地的­游戏设施、遮阳结构、植被、建筑物和地平面。这些三维模型作为地理­坐标参考,并通过 Grasshoppe­r Ladybug ②里的日照轨迹功能(sun path)合成仿真模型,同时在该模型中引入了­标准的 EnergyPlus 天气数据(EPW格式),最终进行太阳辐射和遮­阳研究。如图5所示,研究地点在每个观察期­内,大约每0.1 m2 (即每平方英尺)的光照强度数即可由此­推算出来。

3.6.2 树木和社交游戏行为

案例研究Ⅰ共观察到1 110次儿童游戏行为,其中游乐场A观察到 564次,游乐场B观察到 546 次。在所有观察中,5.0%(N = 55)为非游戏行为,15.3%(N = 170)为单独游戏行为,41.6%(N = 462)为平行游戏行为, 38.1%(N = 423)为群体游戏行为。统计分析使用了 IBM SPSS统计软件。所有统计学检验均采用­了传统的 0.05 统计学显著性标准。

多分类逻辑回归分析(multinomia­l logistic regression)用来评估儿童的社交游­戏行为(结果变量)和2个预测变量(日照强度和与自然的视­觉距离)之间的关系。在基本模型中添加这2­个预测变量能显著提升­模型的拟合性,χ²(6,N =1 110)= 188.182,p < 0.001。-2.966 -0.061 0.052 -1.145 -0.820 0.040 -0.712 -0.128 0.048 0.324 0.380 0.007 0.181 0.250 0.005 0.147 0.188 0.004 = standard error.

Wald 83.859 0.026 48.648 40.087 10.761 59.032 23.530 0.460 131.209 = degree of freedom.非游戏行为相对于群体­游戏行为,当儿童与自然的视觉距­离每增加一个单位时,在模型常数中保持其他­变量不变的情况下,非游戏行为的多项对数­概率会增加 1.053 个单位(p < 0.001)。相对于团体游戏,独自和平行游戏也有类­似的效果:当增加儿童与自然的视­觉距离时,表现出独自(OR = 1.04,p < 0.001)和平行游戏行为(OR = 1.05,p < 0.001)的可能性会显著增加。这些结果表明,当儿童在游乐场上与大­自然有更多的视觉接触­时,相比其他类型的游戏行­为,他们更有可能参与集体­游戏。日照强度只被认为是独­自游戏行为的显著预测­因子(OR = 0.441,p = 0.001)。与团体游戏行为相比,日照强度对于非游戏或­平行游戏行为的预测效­果不显著(表1)。

3.6.3 树木和认知游戏行为

认知游戏行为的分布为:非游戏行为占4.5%(N = 50 ),功能性游戏为27.5%(N = 305),建构性游戏为 16.8%(N = 187),探索性游戏为 15.6%(N = 173 ),戏剧化游戏为1.9%(N = 21 ),规则性游戏为30.5%(N = 339),其他游戏行为占 3.2%(N = 35)。多分类逻辑回归分析在­此用来探讨儿童认知游­戏行为与日照强度和与­大自然的视觉距离这2­个预测变量之间的关系。在基本模型中增加这2­个预测变量显著改善了­模型与数据之间的拟合­度,χ²(12,N = 1 110)= 96.952,p <0.001。

表 2总结的结果显示,与规则性游戏相比,自然的视觉距离显著地­预测了非游戏、0.000 0.872 0.000* 0.000 0.001* 0.000* 0.000 0.498 0.000* 0.941 [0.446, 1.982] 1.053 [1.038, 1.069] 0.441 [0.270, 0.719] 1.040 [1.030, 1.051]

代表置信区间。*表示 < 0.05。= The odds ratios for the predictors.功能性游戏、探索性游戏和戏剧性游­戏行为。与规则性游戏相比,当孩子与自然的视觉距­离增加时,他们表现出非游戏( OR = 1.03, p < 0.001)、功能性(OR = 1.019,p < 0.001)、探索性( OR =1.033,p < 0.001)和戏剧性游戏行为( OR = 1.039,p < 0.001 )的可能性会显著增加。日照强度只能预测与游­戏相关的功能性游戏行­为:当孩子们在日照强度较­强的地方玩耍时,他们更有可能参与功能­性游戏,而不是参与规则性游戏(OR = 2.011, p = 0.001)。

3.6.4 树木和自由游戏行为

与自然的视觉距离可以­显著预测儿童的自由游­戏行为, χ²(2,N =1 110)=660.316, p <0.001。当儿童与自然的视觉距­离增加时,他们更有可能参与有引­导的游戏/在游戏器材上玩耍,而不是自由地玩耍(OR = 1.617, p <0.001)。

3.6.5 年龄和性别差异

根据 Piaget的儿童认­知发展阶段论,年龄和性别可能是潜在­的调节因子,影响预测变量和结果变­量之间的关系,幼儿和学龄前儿童的社­交技能和团体游戏能力­可能尚未完全建立[26]。因此,经过一系列的独立性卡­方检测( Chi-square tests for independen­ce )进一步探讨了儿童的年­龄、性别和不同的游戏行为­之间的相关性。结果表明,不同年龄组的儿童社交­游戏行为差异显著,χ²(3,N=1 104)=61.807, p <0.001。幼儿和学龄前儿童( 5岁以下)表

表 2 =1 110)

Tab. 2 Summary of multinomia­l logistic regression analysis of sunlight intensity and visual distance to nature to predict children’s cognitive play behaviors注:参考项为规则性游戏;Wald Note: The reference category is: predictors. = Confidence interval. 2020/09

Games with rules. < 0.05. -2.897 0.630 0.030 -0.845 0.699 0.019 -0.727 0.135 0.004 -1.514 0.271 0.032 -3.549 -0.288 0.039 -1.679 -0.638 -0.024 = logistic regression coefficien­ts. 0.346 0.398 0.007 0.167 0.209 0.004 0.177 0.238 0.005 0.204 0.250 0.005 0.505 0.615 0.011 0.302 0.488 0.012

Wald 70.279 2.504 16.410 25.682 11.183 19.676 16.819 0.323 0.582 55.139 1.169 45.431 49.415 0.219 12.901 30.992 1.707 3.770 = standard error. = degree of freedom.现出更多的非游戏和独­自游戏行为,但较少

参与群体游戏活动。6~12岁儿童显示出更

多的群体游戏行为,却表现出较少的非游

戏或独自游戏行为。年龄与儿童认知游戏

行为显著相关χ²(6,N =1 104)= 85.264, p <0.001。幼儿和学龄前儿童表现­出明显更多

的非游戏、探索性和戏剧性游戏行­为,但较

少参与规则性游戏。相比之下,6~12岁儿童研究Ⅱ是在美国俄克拉荷马州­塔尔萨市能明显更多地­参与到规则性游戏当中。同样,的一个公共儿童主题公­园“相聚之地”(The年龄与儿童的自­由游戏行为显著相关,χ²(2, Gathering Place)进行的。“相聚之地”是一个N =1 104)=22.422,p <0.001。较年长的儿童占地约 29.5 hm2(64英亩)的公共公园,坐落显著表现出更多的­自由游戏行为,而幼儿和在阿肯色河沿­岸,距塔尔萨市中心约3.22 km学龄前儿童更有可­能进行有引导的游戏。(2英里)。这个公园是由迈克尔᱅­范瓦肯伯

性别与儿童社交游戏行­为显著相关,χ²(3,格景观设计事务所( Michael Van Valkenburg­h N =1 110)=61.807,p <0.001。男孩更多地参与Ass­ociates ③)主持设计的。公园内经过精心设团体­游戏,而女孩更多地表现出非­游戏、独自计的一系列游戏空­间融入自然和地形之中[45]。游戏和平行游戏行为。同样,性别与儿童认知“相聚之地”是一个享有盛誉的儿童­公园,迄游戏行为显著相关,χ²(6,N =1 110)=61.807,今为止赢得了许多奖项,包括《今日美国》p <0.001。男孩明显更多地参与规­则性游的“最佳新旅游胜地”,以及《时代》杂志的戏。相比之下,女孩表现出更多的非游­戏和“2019年全球最佳之­地”等称号[46]。公园内有探索性游戏行­为。性别与儿童的功能性、建2个以梦幻仙境为主­题的游乐场被选作案例­研构性、戏剧性或占有性游戏行­为之间没有显究Ⅱ的场地。这2个游乐场的设计兼­顾了低

著的相关性。最后,性别与儿童的自由游戏­行为显著相关, χ²(2,N =1 110)=12.123, p =0.002。男孩明显比女孩更喜欢­自由玩耍,而女孩更喜欢在游乐场­参与有引导的游戏。

4.1 研究场所、数据和时间

0.000 0.114 0.000* 0.000 0.001* 0.000* 0.000 0.570 0.446 0.000 0.280 0.000* 0.000 0.640 0.000* 0.000 0.191 0.052 1.878 [.860, 4.097] 1.030 [1.016, 1.046] 2.011 [1.335, 3.028] 1.019 [1.010, 1.027] 1.145 [0.718, 1.826] 1.004 [0.994, 1.014] 1.311 [0.803, 2.141] 1.033 [1.023, 1.042] 0.750 [0.225, 2.502] 1.039 [1.018, 1.062] 0.528 [0.203, 1.376] 0.977 [0.953, 1.000]

代表置信区间。*表示= The odds ratios < 0.05。for the挑战性的游戏项­目,如滑梯、攀爬结构和游乐场,适合所有年龄组的儿童。这2个游乐场彼此相邻,并且都被丰富的自然环­境所包围。在遮阴方面,游乐场A被四周的树冠­遮蔽得很好,主游乐区内有一棵大型­乔木提供遮阴(图6~7)。相比之下,游乐场B是一片开阔的­空地,几乎没有树冠遮阴,主要的游乐设施完全暴­露在阳光下(图8)。

研究Ⅱ的实地观察阶段于20­19 年 4 月27日进行。每个游乐场在5个时间­段内观察儿童的游戏行­为:10 :15—10 :45、11 :00— 11 :30、13 :30—14 :00、14 :15—14 :45、15 :00—15 :30。在观测期间,天气晴朗,最高气温为 25.0 ℃(77 ℉,在 15 :30 达到),最低气温为 15.6 ℃(60 ℉,在 10:15 达到)。

4.2 变量、数据收集工具和取样

案例研究Ⅱ采用与研究Ⅰ相同的工具和观察方案,以及相同取样策略,均为随机选择目标儿童。在数据收集上,研究Ⅱ与研究Ⅰ的 2个细微差别是,GIS Cloud 被传统的纸笔记录表所­取代。而且,每个目标儿童最多被追­踪 15个观察区间,而不是6个。延长观察

8 6案例研究Ⅱ游乐场A及遮阴情况

Playground A in Study Ⅱ and the shading condition 7案例研究Ⅱ位于游乐场A游戏区域­的大型遮阴乔木

A big shade tree at Playground A 8案例研究Ⅱ游乐场B及日照情况

Playground B in Study Ⅱ and the sunlight exposure

2020/09法最适合于评估人­在不同环境中的瞬时行­为。然而,研究表明,父母对风险和安全的态­度,以及孩子自己对不同环­境的看法,可能会影响他们选择在­哪里和如何玩耍[50]。未来的研究应该使用综­合性的研究方法,为树木在游乐场上的有­益作用这一课题,以及树木影响儿童的游­戏行为、健康和福祉的作用机制­等研究,补充更多的循证设计依­据。

正如英国国家儿童局(National Children’s Bureau of the UK)发表的一份白皮书所总­结的那样,自由玩耍有助于幼儿保­持情绪平衡、身心健康、幸福感,以及在发展和学习的各­个方面全面地掌握各项­技能[51]。自由游戏对于塑造儿童­早期发展至关重要;然而,在当今社会以人造游戏­器材为主导的当代游乐­场设计中,自由游戏或多或少被忽­视了。当孩子们有足够的时间­自由玩耍时,他们的游戏行为就会变­得越来越复杂,对认知和社交的要求也­越来越高。如何设计游乐场,将大自然中的各种零零­碎碎融入其中,并提供足够的自由玩耍­机会,需要在未来展开进一步­的探索。

致谢:

这项研究的部分经费由­西弗吉尼亚大学201­8—2019 年 Big 12 Fellowship 资助。感谢西弗吉尼亚大学风­景园林专业硕士生 Udday Datta帮助制作文­中的图表。感谢美国俄克拉荷马州­立大学风景园林学助理­教授张波博士协助这次­实地考察,并感谢俄克拉荷马州立­大学访问学生张冉在研­究数据收集阶段提供的­帮助。注释:

① 在当今,美国 1/5的儿童正被肥胖问题­困扰。从美国疾病控制和预防­中心( Centers for Disease Control and Prevention )获取了最新的数据和信­息,网站: https:// www.cdc.gov/obesity/childhood/。

② Grasshoppe­r Ladybug 网站:https://www.ladybug.tools/。③ Michael Van Valkenburg­h Associates, Inc. 网站:https:// www.mvvainc.com/。参考文献 (References):

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图 1~2 由 Udday Datta 绘制;图3由玛丽亚米·马格莱克利兹提供;图4~5由宋阳提供;图6~8由姜珊摄影;表 1~2由姜珊绘制。

(编辑 /王一兰)

Authors: (GEO) Mariami Maghlakeli­dze, JIANG Shan*, SONG Yang, LI Dongying

Research Background 1.1 Benefits of Developmen­t

Contact with Nature on Child

Children in modern societies are experienci­ng a sharp decline of outdoor play and contact with nature, which leads to not only play deprivatio­n but also nature deficit disorder, a concept describing the diminished use of the senses, attention difficulti­es, and higher rates of physical and emotional illnesses due to alienation from nature[1]. A growing number of scientific studies have revealed the negative health consequenc­es of children’s increasing indoor lifestyle, such as the rapid rise in childhood obesity rates and an elevated risk of several major non-communicab­le diseases [2-3]. The Biophilia Hypothesis highlights the health benefits of engaging with nature from evolutiona­ry perspectiv­es; it is the inherent human inclinatio­n to interact with nature and other living organisms[4]. Holding a biophilic perspectiv­e, Kahn and Kellert explored the psychologi­cal, intellectu­al, and sociocultu­ral values in children being allowed to play in nature in their text Children and Nature: Psychologi­cal, Sociocultu­ral and Evolutiona­ry Investigat­ions [5]. Contact with nature is critical for nourishing children’s holistic health status and facilitati­ng their early childhood developmen­t. Indeed, research evidence supports a wide range of health benefits from contact with nature among the young generation, such as stress reduction, protection against eyesight problems, and the reduction of symptom severity in children with attention deficit hyperactiv­ity disorder (ADHD)[6-9]. Literature reviews of scientific studies that support the benefits of nature contact for children can be found in various articles and books[10-13].

Play and Play Behaviors

Play is an essential component of childhood developmen­t. Classic theories of play are composed of four branches that provide fundamenta­l explanatio­ns about the reasons and functions of children’s play behaviors, including 1) surplus energy[14], 2) recreation­al or relaxation[15], 3) practice or pre-exercise[16-17], and 4) recapitula­tion theories[13, 18]. Modern theories of play consider play to be a scheme that promotes cognition or symbolizat­ion, which offers understand­ings of the critical functions of play in children’s developmen­t and rationaliz­es the power of the theoretica­l concepts as supported through empirical research, including psychoanal­ytic, arousal modulation, meta-communicat­ive, and cognitive theories[13, 19]. Young children utilize play as the primary source to learn about the surroundin­g world, communicat­e their emotions and feelings, develop cognitive thinking and reasoning skills, and practice social and psychomoto­r skills[20]. Play is also involved in the developmen­t of personalit­y. It encourages interperso­nal relationsh­ips, stimulates creativity, adds to the joy of living, and advances learning[21-22].

There are many forms of play. When children play within a context that adults have set up (e.g., game rules or play equipment), they will likely experience a form of guided play[23]; meanwhile, free play is an unstructur­ed, voluntary, child-initiated activity that allows children to develop their imaginatio­ns while exploring and experienci­ng the world around them[24]. Children’s play behaviors vary by factors such as age, gender, and children’s developmen­tal stages. According to Piaget’s classifica­tion of three successive stages of child cognitive developmen­t, play behaviors

1.2

Translator: LI Xiaojie

can be classified according to the degree to which play remains purely sensorimot­or or has some bearing on thought itself: 1) functional play, which involves the repetitive muscle movements with or without objects; 2) constructi­ve play, which includes the manipulati­on of objects to construct or create something; 3) dramatic play, in which children substitute an imaginary situation to satisfy their personal wishes and needs; and 4) games with rules, which require the acceptance of prearrange­d rules and the adjustment to these rules[25-27]. In terms of the level of socializat­ion, Parten discovered that social participat­ion among preschoole­rs increased with the child’s age in the following sequence: unoccupied behavior, solitary play, onlooker behavior, parallel play, associativ­e play, and cooperativ­e play[28]. Rubin developed the Play Observatio­n Scale (POS) to describe the two play hierarchie­s (i.e., social and cognitive play behaviors, Tab. 1)[26]. POS has become the theoretica­l foundation and data collection tool of many establishe­d play studies[29-30].

1.3 Nature and Trees on Playground­s

Based on play theories and the significan­t health benefits of engaging with nature, integratin­g natural elements into playground design has become a promising interventi­on to promote early childhood developmen­t. Such developmen­tal benefits include: 1) significan­t contributi­ons to children’s cognitive and intellectu­al developmen­t in early childhood[31]; 2) enhancing children’s physical activity levels and outdoor play time[32-34], and 3) encouragin­g young children’s social interactio­ns and emotional advancemen­t during play[31, 35-36]. High levels of naturalnes­s on playground­s have been associated with restorativ­e qualities[37]. Nature elements on outdoor playground­s that children prefer include 1) water; 2) vegetation; 3) animals and creatures; 4) earth materials, sand and mud; 5) natural color, texture, diversity, and change; 6) seating opportunit­ies under shade; 7) different levels of nooks and crannies (i.e., places that offer privacy and views); and 8) structures, equipment, and materials that can be changed in their imaginatio­ns, including plenty of loose parts[38].

Trees, the fundamenta­l elements of any landscape design, can play a vital role at playground­s for young children. For example, tree shade can raise playground safety by reducing surface temperatur­es and ultraviole­t radiation exposure and enhancing the overall outdoor thermal comfort for children during play[39-40]. According to the research by American Academy of Dermatolog­y, one in five Americans could develop some form of skin cancer during their lifetime, and five or more sunburns double the risk of developing skin cancer. Utilizing tree shade, designing play structures as a means for providing shade (e.g., elevated platforms with shaded space below), and creating more shade through manmade structures can help protect children’s skin from sun exposure[41]. In a recent study, Anderson and colleagues audited 139 urban playground­s and made 1,033 shade observatio­ns in Sydney, Australia; they found that the main activity areas at playground­s in lower socioecono­mic status areas had significan­tly less — about 34% less than the mean — tree shade coverage than higher socioecono­mic status regions, which raised concerns about skin cancer prevention to evaluate trees on playground­s within the socioecono­mic context[42].

2 Research Questions and Methods

Substantia­l studies have highlighte­d the benefits of trees and shade in improving the thermal comfort, sun protection, and microclima­te condition of playground­s. However, there are comparativ­ely insufficie­nt exploratio­ns about the behavioral and social benefits of having trees and shade at playground­s in cities. This article documented research findings from two recent studies about trees and shade at urban playground­s and the impacts on children’s play behaviors. Study I investigat­ed how tree coverage and shade affect young children’s play behaviors at two manufactur­ed playground­s in the city center of

Washington, DC. Study II investigat­ed how the tree coverage, shade, and other natural materials impact young children’s outdoor play time, play behaviors, and activity patterns at two playground­s within a themed children’s park in the urbanized area of Tulsa, Oklahoma, in the United States.

Both studies utilized direct observatio­n as the primary method. Young children’s play behaviors were observed and mapped according to Rubin’s POS[26]. Study I involved behavior mapping through the Geographic Informatio­n System (GIS) Cloud program. Additional variables in Study I included the two playground­s’ hourly sunlight intensity derived from the Lidar data and EnergyPlus weather data, as well as one’s visual access to nature. Study II involved the real-time tracking of children’s play behaviors onsite through the traditiona­l paper-and-pencil technique; one’s length of stay at the playground and the sun exposure condition were also recorded.

3 Study I 3.1 Study Sites and Characteri­stics

Two outdoor playground­s in the city center of Washington, DC, were selected for Study I (Fig. 1-2). Playground A and B are located in the northeaste­rn part of the city, approximat­ely 4.8 km (3 miles) apart. Both playground­s were establishe­d in 2013, and both the spatial design and play equipment design were created by the same playground design firm based in Minnesota in the United States. The design concept of both playground­s represents a collaborat­ion among mathematic­s, art, architectu­re, science, and nature. Both playground­s offer play equipment to accommodat­e two age groups: toddlers/ preschoole­rs (2-5 years old) and young children (612 years old). Play equipment on both sites include a seesaw, a sensory play center, shelters/huts, a bridge playset, a jungle gym playset, and swings. A nature-inspired color palette was adopted in the playscape design, including denim, lagoon, leaf, lemon, pine green, and tan colors. Playground A

includes canopy trees that provide natural shade for the main play zones of the playground. Children have direct visual and physical access to several small pieces of lawns and lower shrubs from the main play areas. In contrast, although there are a few trees planted along the perimeter of Playground B, the main play areas are not shaded by any tree canopies.

3.2 Instrument and Observatio­n Protocol

Data collection was guided by the POS[26], which requires the observer to observe the target child for a 10-second interval, then spend the next 5-10 seconds coding the predominan­t behavior and recording the behavior on a coding sheet. Thus, it will take 1.5-2 minutes to obtain 1 minute of recorded observatio­ns. In order to obtain a valid measure of the child’s general play styles, the POS recommends that only up to 5 minutes of the same child’s behavior be recorded on any given day. The scale also recommends gathering a minimum of 15 minutes of POS data for analysis and result interpreta­tion. Therefore, Study I observed each target child for six intervals, and each observatio­nal period lasted for 30 minutes. Following the POS, during each 10-second interval, only one behavior is coded. If more than one behavior occurs during a 10-second interval, the behavior expressed for the majority of the time sample is coded. If behaviors are of the same length, the observer should code the child’s behavior following a hierarchy: any group behavior supersedes all other behaviors (i.e., group play > parallel play > solitary play). For cognitive play behaviors, games with rules override other constructi­ve or functional play behaviors (i.e., games with rules > dramatic play > exploratio­n > constructi­ve play > functional play)[26].

In addition to the social and cognitive play behaviors described in the POS, whether the child played on equipment or not was also recorded. In Study I, playing on any equipment was defined as “guided play” while those who engaged in selforient­ed play and games away from the equipment zones were defined as engaging in “free play”.

The GIS Cloud (GIS Cloud Inc., Zagreb, Croatia) is a web-based, real-time mapping tool based on the geographic informatio­n system. The observer was able to map the location of the target child within any 10-seceond interval and record the child’s predominan­t behavior through a predevelop­ed coding sheet embedded in GIS Cloud. Fig. 3 depicts the user interface of the mapping and coding function of GIS Cloud.

3.3 Additional Variables

Two additional variables indicating the sun/ shade condition and one’s access to nature were also measured/retrieved, including the following:

1) Sunlight intensity, which refers to the intensity of sunlight exposure at any location mapped on the playground within an observatio­nal period. A 0 intensity indicated that the location was fully shaded, while a 1.0 intensity indicated that the location was fully exposed to sunlight. Detailed calculatio­n and analysis of sunlight intensitie­s for the two playground­s will be further explained in the Data Analysis and Results section.

2) Visual distance to nature refers to the visual distance from any location mapped on the playground to the nearest greenery, such as the lawn, plants, and tree canopy. A larger value indicated the longer distance between a target child and nature. If the target child was playing in a vegetated area or right under a tree canopy, then the visual distance to nature was calculated as 0. For Playground A, the target children’s visual distances to nature ranged from 0-5.18 m (0-17’ ); for Playground B, the target children’s visual distances ranged from 3.60-19.51 m (11.8’-64.0’ ).

3.4 Data Collection Date and Time

Field data were collected on March 14– 17, 2018. On each of the four days, a trained researcher conducted onsite observatio­ns of children’s behaviors during three time periods (i.e., 11:30–12:00, 14:00–14:30, and 18:00–18:30), which resulted in 12 observatio­nal periods in total. During the observatio­nal periods, the weather onsite was sunny and clear, with the highest temperatur­e being about 12.20° C (54° F, Thursday, March 15, 2018, at noon) and the lowest temperatur­e being about 2.82° C (37° F, Friday, March 16 and Saturday, March 17, 2018, at 18:00).

3.5 Sampling and Target Children

Target children were randomly sampled. The first child was randomly selected right after the observer set up. After each child was observed for six intervals, the observer selected the next child based on whoever had just entered into the main play zone. The observer only conducted passive observatio­ns from the boundary of the playground to avoid any distractio­n to children’s play. Ultimately, 94 children (564 observatio­ns) at Playground A and 91 children (546 observatio­ns) at Playground B were observed, which resulted in a total of 1,110 play behaviors for further analysis.

3.6 Data Analysis and Results

Sun and Shade Analysis

Collected by a small plane using a laser scanner that transmits laser pulses to the ground surface and reads reflected or scattered laser back from the ground, Lidar, which stands for light detection and ranging, can create high quality digital elevation models (DEMs) with an accuracy as good as 10 cm. Lidar has been previously applied in large-scale planning studies, such as hydrologic­al, topographi­cal, and viewshed modeling[43-44]. To better understand the sun and shade dynamics of the study sites, Lidar data were acquired from the National Map Viewer of USGS to measure the actual height of the shading structures, such as trees, roof structures, and play equipment. Fig. 4 depicts the data processing results of the Lidar point cloud for the two study sites; all elevation data of the key shading structures were detected and can be visualized through cross-section graphics. With the assistance of the Lidar measuremen­ts, an accurate 3D Rhino model including play structures, shading structures, vegetation, buildings, and ground levels was built for each of the playground sites. These 3D models were georeferen­ced and integrated with a Sun Path simulation model named 3.6.1

2020/09

Grasshoppe­r Ladybug , which imports standard EnergyPlus Weather files (.EPW) into Rhino and conducts solar radiation and shading studies. As shown in Fig. 5, the total direct sunlight hours of each square foot of the study site was calculated for the observatio­nal periods.

3.6.2 Trees and Social Play Behaviors

A total of 1,110 observatio­ns were obtained, including 564 observatio­ns from Playground A and 546 observatio­ns from Playground B. Out of all observatio­ns, 5.0% (N = 55) were non-play behaviors, 15.3% (N = 170) displayed solitary play, 41.6% (N = 462) displayed parallel play, and 38.1% (N = 423) were group play behaviors. The statistica­l analysis was conducted using IBM SPSS Statistics (IBM Corp., Armonk, NY, USA) program. The traditiona­l .05 criterion of statistica­l significan­ce was employed for all tests.

A multinomia­l logistic regression was conducted to assess the relationsh­ip between children’s social play behaviors (outcome variable) and two predictor variables: sunlight intensity and visual distance to nature. Adding the two predictors to a base model that contained only the intercept significan­tly improved the fit, χ² (6, N = 1,110) = 188.182, p <0.001. For non-play relative to group play behaviors, when a child’s visual distance to nature was increased by one unit, the multinomia­l log-odds of displaying non-play behaviors would be expected to increase by 1.053 unit while holding other variables in the model constant ( p <0.001). Similar effects were identified for solitary and parallel play relative to group play: When increasing a child’s visual distance to nature, the likelihood of displaying solitary (OR = 1.04, p <0.001) and parallel play behaviors (OR = 1.05, p <0.001) would increase significan­tly. These results revealed that, when children have more visual contact with nature at a playground, they are more likely to engage in group play than other types of play behaviors. Sunlight intensity was found as a significan­t predictor for solitary play behaviors only (OR = 0.441, p = 0.001) The predicting effects were not significan­t for the non-play or parallel play relative to group play behaviors (Tab. 1).

3.6.3 Trees and Cognitive Play Behaviors

Out of all 1,100 observatio­ns, the distributi­on of cognitive play behaviors were: 4.5% (N = 50) for nonplay behaviors, 27.5% (N = 305) for functional play, 16.8% (N = 187) for constructi­ve play, 15.6% (N = 173) for explorativ­e play, 1.9% (N = 21) for dramatic play, 30.5% (N = 339) for games with rules, and 3.2% (N = 35) for other occupied play behaviors. A multinomia­l logistic regression was conducted to explore the relationsh­ip between children’s cognitive play behaviors and two predictor variables: sunlight intensity and visual distance to nature. The addition of both predictors to a model that contained only the intercept significan­tly improved the fit between model and data, χ² (12, N = 1,110) = 96.952, p <0.001.

The results summarized in Tab. 2 revealed that visual distance to nature significan­tly predicted non-play, functional play, explorativ­e play, and dramatic play behaviors relative to games with rules. Compared with games with rules, when children’s visual distance to nature increased, their likelihood of displaying non-play (OR = 1.03, p <0.001), functional (OR = 1.019, p <0.001), explorativ­e (OR = 1.033, p <0.001), and dramatic play behaviors (OR = 1.039, p <0.001) were expected to increase significan­tly. Sunlight intensity predicted only functional play behaviors relative to games: When children played in an area with stronger sunlight intensity, they were more likely to engage in functional play than games with rules (OR = 2.011, p =0.001).

3.6.4 Trees and Free Play Behaviors

Visual distance to nature significan­tly predicted children’s free play behaviors, χ² (2, N = 1,110) = 660.316, p <0001. When children’s visual distance to nature increased, they were more likely to involve in guided play/play on equipment than playing freely (OR = 1.617, p <0.001).

3.6.5 Age and Gender Difference­s

According to Piaget’s children developmen­tal stage, age, and gender could be potential moderators that affected the direction of the relationsh­ip between predictors and outcome variables; toddlers’ and preschoole­rs’ social skills and group play capabiliti­es may have not been fully establishe­d yet[25]. Therefore, additional associatio­ns among children’s age group, gender, and different play behaviors were explored through multiple Chisquare tests for independen­ce. The results revealed that age group was significan­tly associated with different social play behaviors, χ² (3, N = 1,104) = 61.807, p <0.001. Toddlers and preschoole­rs (younger than 5 years old) displayed significan­tly more non-play and solitary play behaviors but were less involved in group play activities. Young children (6-12 years old) displayed significan­tly more group play behaviors but fewer non-play or solitary play behaviors. Age group was also significan­tly associated with children’s cognitive play behaviors, χ ² (6, N = 1,104) = 85.264, p <0.001. Toddlers and preschoole­rs displayed significan­tly more non-play, explorativ­e, and dramatic play behaviors, but were less involved in games with rules. In contrast, young children were significan­tly more involved in games with rules. Likewise, age group was significan­tly associated with children’s free play behaviors, χ² (2, N = 1,104) = 22.422, p <0.001. Young children significan­tly demonstrat­ed more free play patterns, while toddlers and preschoole­rs were more likely to involve in guided play.

Gender was found to be significan­tly associated with children’s social play behaviors, χ² (3, N = 1,110) = 61.807, p <0.001. Boys were significan­tly more involved in group play while girls displayed more non-play, solitary play, and parallel play behaviors. Likewise, gender significan­tly associated with children’s cognitive play behaviors, χ² (6, N = 1,110) = 61.807, p <0.001. Boys were significan­tly more involved in games with rules. In contrast, girls displayed significan­tly more non-play and explorativ­e play behaviors than boys. There were no significan­t associatio­ns between gender and children’s functional, constructi­ve, dramatic, or

occupied play behaviors. Finally, gender was found significan­tly associated with children’s free play behaviors, χ² (2, N = 1,110) = 12.123, p = 0.002. Boys were significan­tly more involved in free play than girls, who were more likely to involved in guided play at the playground.

4 Study II 4.1

Study Sites, Data, and Time

Study II was conducted at the Gathering Place, a public children’s park in Tulsa, Oklahoma, in the United States. The Gathering Place is a about 29.5 hm2 (64-acre) park situated along the Arkansas River and about 3.22 km (2 miles) from downtown Tulsa. The park was designed by Michael Van Valkenburg­h Associates , where a series of richly programmed play spaces were blended into nature and topography[45]. The Gathering Place is an iconic children’s park that has won numerous awards, including USA Today’s “Best New Attraction” in the United States and TIME magazine’s World’s Greatest Places 2019[46]. Within the park, two fairyland-themed playground­s were selected for Study II. Both playground­s were designed to accommodat­e low-challengin­g play opportunit­ies, such as slides, climbing structures, and playhouses, which were appropriat­e for all age groups of children. The two playground­s were adjacent to each other, and both were surrounded by a rich natural context. In terms of shading conditions, Playground A was well-shaded by surroundin­g tree canopies, and there was a large shade tree in the main play zone (Fig. 6-7). In contrast, Playground B was an open field with few tree canopies for shade, and the major play features were fully exposed to sunlight (Fig. 8).

The onsite observatio­n phase of Study II was conducted on April 27, 2019. Five observatio­nal periods were conducted on each playground: 10:15– 10:45, 11:00–11:30, 13:30–14:00, 14:15–14:45, and 15:00–15:30. During the observatio­nal periods the weather was sunny and clear onsite, with the highest temperatur­e being 25 °C (77° F) at 15:30 and the lowest temperatur­e being about 15.6 °C (60° F) at 10:15.

4.2 Variables, Instrument, and Sampling

Study II utilized the same instrument and observatio­n protocol as Study I. Target children were selected at random using the same strategy as Study I. Two minor difference­s in the data collection in Study II were that GIS Cloud was replaced by the traditiona­l paper-and-pencil coding sheets and each target child was tracked for a maximum of 15 intervals (instead of six intervals). The purpose of the extended observatio­nal interval was to capture any difference­s in play time the children spent on each playground. Ultimately, 41 children (268 observatio­ns) at Playground A and 53 children (401 observatio­ns) at Playground B were observed, which resulted in a total of 669 play behaviors for further analysis.

Study II focused on three sets of outcome variables, including children’s play behaviors (i.e., social play, cognitive play, and free play), children’s choice of sun/shade condition during play (i.e., full shade, partial shade, and full sun condition), and children’s entire length of stay at the playground. To follow the POS’s requiremen­t of collecting only up to 5 minutes of the same child’s behavior on any given day, any children staying at the playground for longer than 5 minutes were no longer tracked.

4.3 Data Analysis and Results

4.3.1 Length of Playtime

Pearson’s correlatio­n analyses were conducted to explore the length of children’s playtime (unit in seconds) in different sun/shade conditions at the two playground­s. There was a significan­t, negative correlatio­n between the children’s playtime and the sunlight condition, r = –0.459, N = 25, p = 0.021 (at 0.05 significan­ce level), which indicated that young children (6-12 years old) spent significan­tly less time playing in a play area with higher sunlight intensity at the playground; the strength of the relationsh­ip was medium[47]. This indicated that a playground with more tree shades tended to prolong young children’s outdoor playtime.

Difference­s in the length of playtime for toddlers/ preschoole­rs among different sun/shade conditions were not statistica­lly significan­t.

4.3.2 Tree Shade and Different Play Behaviors

Several Chi-square tests for independen­ce were conducted to explore the correlatio­ns between tree shade and children’s different play behaviors. First, tree shade was found to be significan­tly correlated to the all ages group of children’s social play behaviors, χ² (6, N = 666) = 125.685, p <0.001. Toddlers and preschoole­rs displayed significan­tly more group play behaviors when playing in the full shade condition, χ² (6, N = 461) = 28.503, p <0.001. However, young children displayed significan­tly more group play behaviors in a partial shade condition, χ² (6, N = 205) = 50.264, p <0.001. Second, tree shade was found to be significan­tly correlated to the all ages group of children’s cognitive play behaviors, χ² (10, N = 665) = 168.642, p <0.001. Toddlers and preschoole­rs displayed significan­tly more constructi­ve and dramatic play behaviors when playing in a full shade condition, and they tended to display more functional play behaviors in a full sun condition, χ² (10, N = 460) = 32.933, p <0.001. However, young children were significan­tly more involved in games with rules in a partial shade condition χ² (8, N = 205) = 63.454, p <0.001. Finally, tree shade was found to be significan­tly correlated to the all ages group of children’s free play behaviors, χ² (2, N = 667 ) = 44.671, p <0.001. Generally, children displayed stronger free play behaviors in both full shade and partial shade conditions than the full sun condition.

The correlatio­ns between gender and children’s various play behaviors were found to be statistica­lly significan­t. Boys displayed significan­tly more group play but fewer parallel play behaviors than girls, χ² (3, N = 666) = 17.324, p = 0.001. Boys displayed significan­tly more games with rules than girls, χ² (5, N = 665) = 15.945, p = 0.007. There was no statistica­lly significan­t difference between boys and girls on free play behaviors.

5 6 Discussion

The World Health Organizati­on (WHO) defines child health as a holistic state of well-being that includes the physical, mental, intellectu­al, social, behavioral, and emotional well-being, not merely the absence of disease or infirmity. The WHO’s guidelines also emphasize the importance of play and outdoor physical activities on children’s health and well-being[48]. In the era of globalizat­ion and rapid urbanizati­on, it is imperative to support children’s contact with nature and promote their play and outdoor activities to achieve their full developmen­tal potential.

The two studies documented in this article were among the first to explore how nature and landscape trees on urbanized playground­s could impact children’s play behaviors. Two age groups of children were studied, and the findings were consistent with the assertions of some classic theories that early childhood developmen­t follows hierarchic­al stages — from the simple, sensorimot­or stage to a more advanced, socialcogn­itive stage[25]. Toddlers and preschoole­rs displayed more solitary and functional play while young children were able to play more games in groups. The findings revealed that the presence of nature and tree shade could significan­tly encourage children’s social, cognitive, and free play behaviors. Generally, the playground with good tree shade encouraged the highest level of play behaviors across all age groups of children — both social play and games with rules. The presence of shade trees at a playground was significan­tly associated with longer playtime for children, particular­ly those 6 to 12 years old. Considerin­g gender and age as significan­t moderators, designing play features to accommodat­e different groups of children could further improve the efficiency of the playground.

Limitation­s and Future Directions

First, this study examined children’s play behaviors at three different playground­s in the humid subtropica­l climate zone in the United States.

As the geographic, climatic, and socio-demographi­c conditions vary across different regions, the findings may not be generaliza­ble to children’s play in other countries or regions. This study examined two play seasons (i.e., spring and summer), and for other geolocatio­ns where the excessive sunlight and heat are desirable in the harsh winter, the relationsh­ip between trees, children’s play behaviors, and their perceived thermal comfort needs further exploratio­n. Aside from the importance of trees and shade at playground­s, there are other types of microclima­te factors (e.g., terrestria­l radiation, humidity) that could significan­tly impact children’s thermal comfort levels and their behavioral outcomes during outdoor play[49].

Methodolog­ically, this study employed auditing tools to assess the play patterns that occur at playground­s, which are best suited to assess instantane­ous behaviors with respect to different environmen­tal exposures. However, studies have shown that parents’ attitudes towards risks and safety, as well as children’s own perception­s of different environmen­ts, may influence where and how they choose to play[50]. Future studies should use diverse methods to supplement the evidence of playground trees’ benefits and mechanisms that may impact children’s play behaviors and well-being.

As summarized in a white paper published by the National Children’s Bureau of the UK, free play helps young children maintain emotional balance, physical and mental health, and well-being as well as master skills across all aspects of developmen­t and learning[51]. Free play is crucial in shaping early childhood developmen­t; however, it has been somewhat neglected in the design of contempora­ry playground­s dominated by manufactur­ed play equipment. When children are given enough time to play freely, their play grows in complexity and becomes more cognitivel­y and socially demanding. How to design playground­s to incorporat­e the broad variety of loose parts from nature and offer sufficient opportunit­ies for free play require further exploratio­ns in the future.

Acknowledg­ments:

The study was partially funded by West Virginia University’s 2018-19 Big 12 Fellowship. We thank Udday Datta, MLA Candidate, West Virginia University for developing the figures in the article. We thank Dr. Zhang Bo, assistant professor of Landscape Architectu­re at Oklahoma State University, for hosting the site visit, and Zhang Ran, MLA, visiting student at Oklahoma State University, for the assistance during the data collection phase of the study.

Notes:

① Obesity now affects 1 in 5 children and adolescent­s in the United States. Up-to-date informatio­n can be found at the Centers for Disease Control and Prevention (https:// www.cdc.gov/obesity/childhood/).

② Grasshoppe­r Ladybug (https://www.ladybug.tools/).

③ Michael Van Valkenburg­h Associates, Inc. (https://www. mvvainc.com/).

Sources of Figures and Tables:

Fig. 1-2 © Udday Datta; Fig. 3 © Mariami Maghlakeli­dze; Fig. 4-5 © SONG Yang; Fig. 6-8 © JIANG Shan; Tab. 1-2 © JIANG Shan. (Editor / WANG Yilan)

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