邻里目的地建成环境对老年日常活动机会的影响——基于感知和参与视角

doi:10.18306/dlkxjz.2023.01.008

Abstract

Abstract:

Daily activities of the elderly population are closely related to their physical and mental health, and are complicatedly affected by the attributes of multiple neighborhood destination built environments. However, current research has paid little attention to the activity opportunity characteristics of the elderly population and scope of the built environment centered on neighborhood destinations. Combined with the theory of homo-urbanicus, this study constructed a research framework on the relationship between neighborhood destinations and daily activity opportunities from the needs of the elderly for survival, contact, and social interaction. Taking the main urban area of Dalian City as an example, data on the perception and participation in daily activities were collected from 1149 older adults in 2017 and 2019. From the three dimensions of accessibility, attractiveness, and friendliness, built environment indicators were measured for the neighborhood destinations that the elderly have potential contact with, including commercial, medical, educational, and leisure facilities. We used the multiple linear regression and the multinomial logistic regression methods to analyze the impact of neighborhood destination built environments on older adults' daily activity opportunities. The main findings of the study are as follows: 1) The daily activity opportunities of the elderly can be divided into three categories: bystander type, target type, and active type. In addition to being severely constrained by individual attributes, these types also show heterogeneity in their spatial distributions. 2) Commercial facilities have a significant impact on activity perception, and leisure facilities have a significant impact on activity participation. Specifically, indicators such as the proportion of residential areas around community activity centers and the distance to shopping mall intersections have a greater impact on activity perception. The road network density around chess and card rooms and the proportion of cars around community activity centers have a greater impact on activity participation. 3) The environmental suitability of hospitals has an effect on the bystander elderly, and the spatial location of shopping malls has an effect on the active elderly. The research results show that in the optimization of the built environment of urban public service facilities, it is necessary not only to meet the needs of the elderly for the use of space, but also to meet their needs for rest and observation. In addition, urban planners should pay attention to the differences in the impact of different types of service facilities on daily activity opportunities of the elderly, and carry out targeted planning and policy interventions. This study provides new ideas for the refined construction of age-friendly cities.

Key words: neighborhood destination, built environment, elderly population, homo-urbanicus, daily activity perception, daily activity participation

WEI Yue, YANG Dongfeng. Impact of neighborhood destination built environments on daily activity opportunities of the elderly population: Based on perception and participation[J].PROGRESS IN GEOGRAPHY, 2023, 42(1): 89-103.

Figures/Tables 9

Fig.1

Tab.1

Tab.2

Fig.2

Tab.3

Fig.3

Fig.4

Tab.4

Multiple linear regression results of neighborhood destination built environments and daily activity perception/ participation

变量		模型1：日常活动感知		模型2：日常活动参与
变量		t值	标准系数(β)	t值	标准系数(β)
	常量	-0.606		0.384
个体属性	性别(男=1，女=2)	-3.524	-0.105^***	-0.321	-0.009
	年龄	-3.522	-0.110^***	-10.889	-0.328^***
	教育程度	2.086	0.073^**	4.464	0.150^***
	家庭人数	1.560	0.048	2.737	0.081^***
	收入	1.132	0.040	1.765	0.061^*
便利店	交叉口距离	1.210	0.041	-1.312	-0.043
	居住区占比	-1.156	-0.046	0.919	0.035
	台阶占比	0.219	0.009	-1.192	-0.048
	景观小品比例	-2.338	-0.076^**	-2.513	-0.079^**
	街头家具比例	0.037	0.001	-0.144	-0.005
菜市场	交叉口距离	0.072	0.002	0.010	0.00034
	居住区占比	1.256	0.042	0.424	0.014
	台阶占比	0.456	0.015	-0.176	-0.006
	绿视率	-0.277	-0.010	-2.510	-0.089^**
	指示牌比例	0.948	0.036	-1.631	-0.060
商场	交叉口距离	4.172	0.156^***	2.291	0.083^**
	公交站距离	-2.646	-0.096^***	0.706	0.025
	路面平整度	1.571	0.063	-0.180	-0.007
	障碍物占比	-2.172	-0.122^**	1.148	0.062
	景观小品密度	-2.507	-0.098^**	-0.063	-0.002
药店	居住区占比	2.525	0.105^**	-0.689	-0.028
	台阶占比	0.950	0.038	0.936	0.036
	障碍物占比	-0.099	-0.004	-0.713	-0.025
	指示牌比例	0.550	0.020	0.667	0.024
	路灯比例	1.405	0.052	0.364	0.013
诊所	主干路距离	0.763	0.027	1.025	0.035
	交叉口距离	-0.878	-0.028	-1.570	-0.048
	公交站距离	-0.366	-0.012	-0.309	-0.010
	居住区占比	-0.469	-0.025	0.483	0.025
	天空开阔度	-2.242	-0.120^**	-1.099	-0.057
医院	交叉口距离	1.071	0.042	1.238	0.047
	居住区占比	-1.240	-0.050	-0.466	-0.018
	台阶占比	-2.940	-0.118^***	0.418	0.016
	障碍物占比	0.032	0.001	1.647	0.064
	天空开阔度	1.862	0.093^*	-1.538	-0.074
幼儿园	居住区占比	0.608	0.023	0.395	0.014
	台阶占比	-1.847	-0.068^*	0.940	0.033
	障碍物占比	1.325	0.049	0.175	0.006
	汽车占比	-1.133	-0.046	0.179	0.007
	街头家具比例	0.316	0.011	0.434	0.015
变量		模型1：日常活动感知		模型2：日常活动参与
变量		t值	标准系数(β)	t值	标准系数(β)
小学	居住区占比	-2.242	-0.096^**	-1.582	-0.065
	公交站距离	-0.277	-0.011	-0.418	-0.016
	台阶占比	0.233	0.010	-0.829	-0.035
	障碍物占比	-0.193	-0.007	-1.398	-0.048
	街头家具比例	-0.232	-0.009	-1.394	-0.051
棋牌室	居住区占比	-0.687	-0.032	-0.713	-0.032
	绿色空间占比	-0.991	-0.036	-1.445	-0.051
	路网密度	-0.221	-0.010	-2.510	-0.108^**
	台阶占比	0.162	0.006	0.356	0.013
	天空开阔度	0.622	0.031	-0.332	-0.016
社区活动中心	居住区占比	3.973	0.189^***	0.316	0.014
	路面平整度	0.393	0.016	0.631	0.024
	障碍物占比	-0.411	-0.022	0.896	0.046
	汽车占比	-0.394	-0.023	-1.704	-0.096^*
	天空开阔度	2.277	0.122^**	0.433	0.022
运动馆	公交站距离	-0.230	-0.009	1.956	0.074^*
	路网密度	0.125	0.007	1.945	0.100^*
	主干路密度	1.590	0.068	1.304	0.054
	公交站密度	-0.080	-0.003	0.122	0.005
	景观小品密度	-0.101	-0.004	-0.015	-0.001
R²		0.183		0.239

Tab.4

Tab.5

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维度	指标	测量方法	数据来源
可达性	主干路距离	设施点与最近主干路距离(m)	百度地图
	交叉口距离	设施点与最近交叉口距离(m)	百度地图
	公交站距离	设施点与最近公交站距离(m)	百度地图
	居住区占比	居住区面积/服务区面积	Landsat 8遥感影像
	路面平整度	1-[(路面裂缝+路面石块+土路面积)/道路面积]	腾讯地图街景图片
	台阶占比	(楼梯+台阶面积)/总面积	腾讯地图街景图片
	障碍物占比	(围栏+铁路+柱子+杆子+栏杆面积)/总面积	腾讯地图街景图片
	汽车占比	汽车面积/总面积	腾讯地图街景图片
吸引力	绿色空间占比	绿色空间面积/服务区面积	Landsat 8遥感影像
	绿视率	(树+草+植物面积)/总面积	腾讯地图街景图片
	天空开阔度	可看到的天空面积/总面积	腾讯地图街景图片
	景观小品比例	有花、喷泉、雕塑的图片张数/图片总张数	腾讯地图街景图片
	街头家具比例	有椅子、座位的图片张数/图片总张数	腾讯地图街景图片
友好性	路网密度	路网长度/服务区面积(m/m²)	百度地图
	主干路密度	主干路长度/服务区面积(m/m²)	百度地图
	公交站密度	公交站个数/服务区面积(个/m²)	百度地图
	指示牌比例	有招牌、布告牌的图片张数/图片总张数	腾讯地图街景图片
	路灯比例	有路灯的图片张数/图片总张数	腾讯地图街景图片

类别	维度	内容
日常活动类型	维护性活动	日常事务类	接送孙子女上下学；买菜；购物；买药看病
	可支配活动	休闲社交类	小坐交谈；棋牌活动；文艺活动(唱歌等)；周边游
	可支配活动	体育锻炼类	徒步；器械运动；舞蹈；保健运动(太极拳等)；竞技运动(打球、游泳等)
日常活动机会	活动感知	问题：“在您生活范围内，您知道有做上述活动的场所或有见过老年人做上述活动吗?”
日常活动机会	活动参与	问题：“您平时会做上述活动吗?”

指标		样本量/个	占比/%
年龄	60~70岁	510	44.4
	71~80岁	398	34.6
	≥81岁	241	21.0
性别	男	530	46.1
性别	女	619	53.9
教育程度	未受过教育	97	8.4
	小学	302	26.3
	中学	349	30.4
	高中/中专	235	20.5
	大专/大学	166	14.4
家庭人数	1人	152	13.2
	2人	530	46.1
	3人	158	13.8
	4人	142	12.4
	≥5人	167	14.5
个人月收入	≤1000元	142	12.4
	1001~2000元	103	9.0
	2001~3000元	329	28.6
	3001~4000元	279	24.3
	>4000元	296	25.8
感知日常活动数量	≤6个	138	12.0
	7~9个	527	45.9
	>9个	484	42.1
参与日常活动数量	≤3个	292	25.4
	4~6个	674	58.7
	>6个	183	15.9

变量		C1旁观型			C3活跃型
变量		回归系数(β)	标准误差	Wald	回归系数(β)	标准误差	Wald
	截距	0.535	0.111	23.103	-0.009	0.126	0.005
个体属性	性别[男]	0.383^**	0.168	5.215	0.519^***	0.183	8.067
	[女]	0	—	—	0	—	—
	年龄	-0.133	0.088	2.310	-0.631^***	0.100	39.606
	教育程度	-0.104	0.096	1.169	0.386^***	0.110	12.405
	家庭人数	0.013	0.087	0.023	0.176^*	0.094	3.494
	收入	0.010	0.099	0.011	0.073	0.112	0.422
便利店	景观小品比例	-0.056	0.081	0.477	-0.250^***	0.091	7.556
菜市场	绿视率	-0.018	0.086	0.043	-0.093	0.096	0.950
商场	交叉口距离	0.276^***	0.104	7.049	0.424^***	0.110	14.719
	公交站距离	-0.081	0.087	0.885	-0.235^**	0.096	5.949
	障碍物占比	-0.119	0.111	1.147	-0.124	0.121	1.044
	景观小品密度	-0.098	0.096	1.039	-0.132	0.107	1.532
药店	居住区占比	0.212^**	0.095	5.052	0.141	0.099	2.026
诊所	天空开阔度	0.001	0.119	0.000089	-0.279^**	0.134	4.367
医院	台阶占比	-0.317^***	0.094	11.423	-0.371^***	0.106	12.155
医院	天空开阔度	0.402^***	0.116	12.024	0.263^**	0.126	4.368
幼儿园	台阶占比	-0.089	0.082	1.160	-0.085	0.091	0.868
小学	居住区占比	0.036	0.095	0.145	-0.253^**	0.102	6.176
棋牌室	路网密度	-0.015	0.103	0.020	-0.151	0.115	1.705
社区活动中心	居住区占比	0.230^**	0.103	5.004	0.355^***	0.111	10.191
	汽车占比	0.122	0.120	1.041	0.023	0.130	0.031
	天空开阔度	0.118	0.139	0.723	0.341^**	0.152	5.069
运动馆	公交站距离	-0.090	0.092	0.954	-0.009	0.098	0.008
运动馆	路网密度	-0.268^**	0.118	5.167	-0.157	0.130	1.462

Impact of neighborhood destination built environments on daily activity opportunities of the elderly population: Based on perception and participation

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