| 摘要: |
| 历史文化空间是塑造城市特色、彰显城
市文化的关键要素。近年来，快速城镇化给众多
历史文化区域带来发展机遇的同时，也使得部
分历史文化风貌及其空间载体遭到破坏和同质
化。为探索历史文化空间及其结构的可意象性，
以珠海市唐家湾古镇为例，构建基于历史层积
维度的“历史信息物质空间网络”以及基于不同
人群认知的“人群认知地图网络”，采用社会网
络分析法（SNA），建立两种网络在“网络—组
团—节点”三个层面指标体系下对比的反馈模
型。网络层面通过“节点数”与“密度”，比较各
人群对网络整体规模的认知完备性；组团层面
通过“块”和“切点”对比中介点，分析“记忆
孤岛”数量与状况；节点层面通过“认知频率”及“中间中心性”加权结果，分析个别节点的可意象性与吸引力。研究表明：第一，历史文化空间并
非存在就是可被认知的；第二，各人群对网络结构认知较为清晰，但规模与认知范围存在差异；
第三，居民与游客更易出现记忆孤岛，联系性较差；第四，对节点的认知呈现网络节点高集中态
势。挖掘差异机制可以协助打造以人为本的历史文化空间，同时，该认知反馈模型也为历史文化空
间记忆传承的定量研究构建一种量化和可视化的研究角度。 |
| 关键词: 历史文化空间网络 空间认知 社会网络分析 认知反馈模型 |
| DOI：10.13791/j.cnki.hsfwest.20230513 |
| 分类号: |
| 基金项目:国家自然科学基金项目（51778078）；重庆大学教改
项目（2021Y36） |
|
| Research on the Construction of Network Cognitive Feedback Model in Historical and Cultural Space: A Case Study of Tangjiawan Ancient Town in Zhuhai |
|
YAN Bo,XU Minyao
|
| Abstract: |
| Historical and cultural space is the key element of shaping urban characteristics
and highlighting urban culture. At present, China’s urbanization has entered a new stage of
transformation and development focusing on improving the quality. Urban development faces both
challenges and opportunities, and it is urgent to change the mode of urban development. The 20th
National Congress of the Communist Party of China (CPC) proposed that “adhere to the people’s
city by the people, the people’s city for the people, improve the level of urban planning, construction
and governance, implement urban renewal actions, strengthen urban infrastructure construction, and
build livable, resilient and smart cities”, which pointed out the basic direction for the new people centered urbanization in the new era. Among them, historical and cultural space as an important
support of urban cultural strategy has been paid attention to. Its protection and cognition is one
of the basic conditions for the continuation and inheritance of history and culture. However, rapid
urbanization has also brought impacts and challenges to many historical and cultural regions. With
the change of production and life style, many historical and cultural features and their spatial carriers
have been destroyed and homogenized. The “historical information material space network” based
on the historical layer dimension and the “population cognitive map network” based on the cognition
of different populations were constructed. Social network analysis (SNA) was used to establish a
feedback model for the comparison of two kinds of networks under the three levels of “network group-node” index system.
Firstly, through theoretical research and field investigation, this paper studies cultural space
and cultural space network, analyzes the layered attributes and perceptual attributes of the cultural
space network of ancient towns, and considers the social network analysis method as the analysis.
Combining with the layered property of historical and cultural space, the paper researches and
stacks historical information to lay the foundation for constructing “historical information material
space network”. According to the perception attribute of historical and cultural space, the cognitive
map survey of the crowd is carried out, so as to build the “cognitive map network of the crowd”.
Combining with social network theory, this paper analyzes the superiority of social network analysis
(SNA) and lays a foundation for the feedback process of cognitive feedback model.
Secondly, this paper carries on the model building and quantitative analysis. Combined with
the research in the above part, the “historical information material space network” and “population
cognitive map network” of Tangjiawan Ancient Town are constructed respectively. The social network analysis method is innovatively used to establish and construct the “cognitive feedback model” of cultural space from three levels: network, group
and node. Compare the cognitive completeness of the overall scale of the network among different groups; at the group level, the number and status of “memory
islands” are analyzed by comparing the intermediate points with “blocks” and “tangential points”. At the node level, the imageability and attractiveness of
individual nodes are analyzed by weighted results of cognitive frequency and intermediate centrality.
The final research results interpret the imageability of the cultural space of Tangjiawan Ancient Town in Zhuhai from different angles through the
constructed cognitive feedback model of cultural space. The research shows that: 1) the historical and cultural space either exists or can be recognized; 2)
people have a clear cognition of the network structure, but there are differences in scale and scope of cognition; 3) residents and tourists are more likely
to appear memory islands and have poor connection; 4) the cognition of nodes shows a trend of high concentration of network nodes. The article further
discusses that the city image is not only a symbol or symbol of the city, but also plays an important role in daily life. The superposition of urban images from
different perspectives in urban space reveals that urban planning should not only build a spatial pattern highlighting urban characteristics from the top down,
but also systematically sort out daily spaces that meet the needs of different groups from the bottom up, enhance urban vitality, and shape a people-oriented
city. Exploring the difference mechanism through cognitive feedback model can help build a human-centered historical and cultural space. At the same time,
this cognitive feedback model also builds a quantitative and visual research angle for the quantitative research on the memory inheritance of historical and
cultural space. |
| Key words: Historical and Cultural Space Network Spatial Cognition Social Network Analysis Cognitive Feedback Model |
