基于SNA的新型集中社区公共空间网络结构优化

doi:10.18306/dlkxjz.2016.07.004

Abstract

Abstract:

The efficiency of public space network structure reflects the ability of communities to reconstruct their social network, to accumulate social capital, and to rebuild social order. In recent years, as a new form of living and emerging in large numbers, new concentrated communities are facing enormous pressure in reconstructing social relations. Using Social Network Analysis, this study found that: the public space network correlation degree is 0.216, central potential is 0.358, and small world business value is 1.978. These show that the overall association degree of the spatial network is insufficient and the network is fragmented; the integration effect of commercial space is affected by the configuration of businesses; and the social attributes of residents influence the characteristics of the spatial network structure. Finally, with regard to concentrated resettlement model and pubic space network optimization, the author puts forward the direction of further research of new concentrated communities, in order to provide a scientific basis for the current and future planning and development and overall optimization of public space of concentrated communities.

Key words: new concentrated community, network of public space, Social Network Analysis(SNA), quantitative analysis, Suzhou City

Qingqing ZOU, Yong WANG, Guangbin LI. Network structure optimization of public space in new concentrated communities based on SNA[J].PROGRESS IN GEOGRAPHY, 2016, 35(7): 829-838.

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样本属性	数量/份	所占比例/%	样本属性	数量/份	所占比例/%
性别			家庭人均月收入/元
男	169	44.8	≤1500	107	28.3
女	209	55.2	1501~2500	163	43.2
年龄			2501~3500	84	22.1
18岁以下	11	12.9	≥3501	24	6.4
18~30岁	72	19.0	职业
31~45岁	118	31.3	待业	32	8.5
46~60岁	121	21.9	产业工人	119	31.4
61岁以上	56	14.9	商业服务人员	41	10.8
文化程度			个体工商户	38	10.1
初中及以下	184	48.8	行政人员	31	8.2
高中	118	31.2	专业技术人员	54	14.3
专科	50	13.1	专业管理人员	34	9.0
本科以上	26	6.9	私营企业主	26	7.7
家庭规模			入住年数
2人及以下	68	18.0	1~2年	42	11.2
3~4人	150	39.6	2~4年	65	17.1
5~6人	128	33.9	4~6年	114	30.1
6人以上	32	8.5	6年以上	157	41.6

空间量化指标	特征参数	参数值	解释
空间关联度	密度	0.216	区域范围内所有直接联系的公共空间数量
空间整合度	中心势	-	中心度高的空间起到重要的“中介”作用,是通往其他空间的“要道”
	点的平均中心势	4.698	反映空间节点之间控制度的重要指标
	图的中心势	0.358	衡量整个网络的联系紧密程度的重要指标
空间连通性	小世界值	1.978	平均路径长度和聚类系数的比值。值越大表示小世界特征越明显,衡量网络的连通性
	聚类系数	0.562	各个点密度系数的均值
	平均路径长度	1.948	连接任何两点之间最短途径的平均长度

节点编号	空间区位	商业业态	与居民日常生活的相关性
1	穿过的城市主干道、东区主入口	①服饰卖场、蛋糕店、药店等;②饭店;③菜市场;④工商银行、培训机构、旅馆	最高
2	穿过的城市主干道、西区主入口	①五金店、药店;②饭店;③俱乐部、网吧等;④旅馆	较低
3	二区主要道路	①小卖部、商铺等;②美发店	一般
4	社区外围的城市道路	①饭店;②旅馆	较低
5	西区主要道路的中部	①购物中心、药店等;②饭店;③菜市场;④劳务服务一条街、浴场	较高
6	社区外围的城市道路	①购物中心;②饭店;③宾馆	最低

基本属性	项目	空间关联度(密度)	空间整合度(中心势)	空间连通性(小世界值)
居民年龄	相关系数	0.66	0.71	0.63
居民年龄	P值	0.52	0.54	0.33
入住年份	相关系数	0.61	0.77	0.22
入住年份	P值	0.05	0.03	0.01
文化程度	相关系数	-0.79	-0.62	0.19
文化程度	P值	0.03	0.02	0.43
家庭收入	相关系数	-0.69	-0.45	-0.80
家庭收入	P值	0.04	0.62	0.01
家庭规模	相关系数	0.31	0.40	0.28
家庭规模	P值	0.35	0.86	0.65

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Network structure optimization of public space in new concentrated communities based on SNA

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节点编号	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18
中间中心度^*	18.5	6.8	7.5	6.3	9.1	3.4	1.1	1.1	0.5	0.4	0.0	0.0	0.0	0.2	0.0	0.0	0.0	0.0
中间人指数^**	52.5	2.0	9.5	1.0	9.0	2.0	5.0	3.0	1.5	1.0	0.0	0.0	0.0	1.5	0.0	0.0	0.0	2.0