社区网络的使用及其对社区参与的影响——以南京市为例

doi:10.18306/dlkxjz.2017.07.001

Abstract

Abstract:

In the 1970s, the United States launched a large number of practices and research focusing on "community network" in community informatics area. In recent years, with the rapid penetrating of information and communication technology in the daily life of community residents, virtual network platforms based on the community entity also appear in large numbers in urban communities of China, which brings an opportunity to improve community participation of urban residents. However, research by Chinese scholars rarely concerned with community networks, especially that quantitative research in this area has been few. Under this background and taking into consideration the practice of community networks in China, this study analyzed the characteristics of community network use and community participation of residents in Nanjing City based on a sample survey. Furthermore, the study used multiple-linear regression method to investigate the factors influencing community participation. The survey was conducted in 35 communities of Nanjing City by a research group at Nanjing University. The results show that overall community network use was characterized by high popularity and low intensity. Although the average coverage of community network use of Nanjing residents was high, the intensity of use only remained at the "occasional use" level. Most users were from newly built communities. As for the usage type of community networks, "mobile Internet" was most popular among the residents, and community QQ/WeChat groups showed the highest use intensity, followed by community Official Accounts/APPs, and community websites/community forums had the lowest use intensity. With regard to community "O2O", community participation was significantly promoted by using community networks. The use of community networks will enhance the depth of participation by promoting transaction type community participation. This article proposes that smart community development should compensate for the lack of attention to community networks and community involvement, and facilitate a return to community public life through participation in community activities that increases the vitality of communities.

Key words: urban community, community participation, community network, smart community, community “O2O”, Nanjing City

Enyu CHANG, Feng ZHEN, Chen SUN. Use of community networks and its impact on community participation: A case study of Nanjing City[J].PROGRESS IN GEOGRAPHY, 2017, 36(7): 785-794.

Figures/Tables 9

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References 35

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变量	样本量	比例%	变量	样本量	比例%
性别			硕士及以上	177	14.08
男性	611	48.61	家庭总计年收入
女性	646	51.39	<5万	186	14.80
年龄			5~10万	325	25.86
≤24岁	203	16.15	10~20万	430	34.21
25~44岁	747	59.43	20~30万	178	14.16
45~59岁	179	14.24	>30万	117	9.31
≥60岁	129	10.26	社区类型
受教育水平			新型商品房社区	617	49.09
小学及以下	25	1.99	老旧商品房社区	197	15.67
初中	135	10.74	单位改制房社区	167	13.29
高中/中专	208	16.55	保障房社区	276	21.96
大专/本科	708	56.32

年龄	社区网络使用强度	受教育水平	社区网络使用强度
25岁以下	2.61	初中及以下	1.60
25~45	2.36	高中	2.12
45~60	1.89	本科/大专	2.42
60岁以上	1.62	研究生及以上	2.34
平均值	2.12	平均值	2.12

一级变量	二级变量	具体测度问题
社区参与度	信息查找	查找社区文化教育类活动的频率
		查找社区娱乐休闲类活动的频率
		查找社区志愿/公益类活动的频率
		查找社区公共事务类活动的频率
	参与活动	参与文化教育类活动的频率
		参与娱乐休闲类活动的频率
		参与社区志愿/公益类活动的频率
		参与社区公共事务类活动的频率
	社区组织	参与网上社区组织的数量(如社区QQ群、社区微信群等)
	社区组织	参与过的线下社区组织的数量

社区类型	社区QQ群/微信群	社区网站/ 论坛	社区公众号/APP	总体
新型商品房社区	2.75	2.26	2.52	2.51
老旧商品房社区	2.41	2.06	2.01	2.16
单位型社区	1.99	1.79	1.75	1.84
保障房社区	2.10	1.92	1.88	1.97
总体	2.32	2.01	2.04	2.12

参与度	极高/%	较高/%	一般/%	较低/%	极低/%	平均值
新型商品房社区	3.2	5.7	20.6	51.9	18.7	0.35
老旧商品房社区	1.2	7.2	22.9	48.2	20.5	0.33
单位型社区	1.2	10.2	28.7	40.7	19.2	0.37
保障房社区	2.2	6.9	26.1	45.7	19.2	0.35
总体	2.0	7.5	24.6	46.6	19.4	0.35

Use of community networks and its impact on community participation: A case study of Nanjing City

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社区参与度	极高	较高	一般	较低	低
社区网络使用强度	3.53	2.58	2.28	2.24	1.96
社区网络使用率/%	90.0	72.9	72.8	68.9	58.4

自变量	模型一				模型二
自变量	系数(B)		标准误差	Beta	系数(B)	标准误差	Beta
(常量)	-0.225	0.039			-0.174	0.034
社区网络的类型
社区网站/论坛	0.010^*	0.005	0.059
社区QQ群/微信群	0.024^**	0.010	0.061
社区公众号/APP	0.030^***	0.005	0.197
社区网络的用途
文化教育类					0.016^**	0.007	0.098
休闲娱乐类					0.009	0.006	0.060
公益志愿类					0.023^***	0.007	0.132
公共事务类					0.035^***	0.007	0.193
社区组织信任度
社区居委会	0.035^***	0.006	0.163		0.032^***	0.006	0.151
物业管理部门	0.000	0.006	0.001		-0.005	0.005	-0.028
业主委员会	0.000	0.006	-0.001		0.002	0.005	0.012
社区自发团体	0.018^***	0.006	0.091		0.011^**	0.005	0.056
邻里联系	0.015^***	0.002	0.214		0.012^***	0.002	0.172
社区归属感	0.016^***	0.002	0.183		0.011^***	0.002	0.135
性别(女性为参照)
男性	0.027^***	0.009	0.071		0.027^***	0.008	0.071
年龄(小于25岁为参照)
25~44	-0.021^**	0.011	-0.056		-0.025^***	0.010	-0.067
45~59	-0.005	0.010	-0.013		-0.003	0.009	-0.008
60以上	0.035^***	0.013	0.074		0.026^**	0.012	0.055
受教育水平(初中及以下为参照)
高中、中专	0.015	0.017	0.029		-0.010	0.016	-0.019
大专、本科	-0.016	0.016	-0.042		-0.025	0.015	-0.066
硕士及以上	-0.013	0.021	-0.025		-0.028	0.019	-0.053
家庭总计年收入	-0.005^*	0.003	-0.051		-0.004^*	0.002	-0.044
社区类型(老旧型商品房社区为参照)
新型商品房社区	0.052^***	0.020	0.137		0.043^**	0.017	0.115
单位改制型社区	0.057^***	0.022	0.106		0.072^***	0.019	0.132
保障房社区	0.050^**	0.021	0.112		0.035^*	0.018	0.078
R²	0.330			0.429
调整R²	0.318			0.419

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