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基于“场景词袋”方法的历史街区访客行为数据多模态分 析与人本更新应用
肖竞1, 付梦姣2, 陶建宇3, 曹珂4, 钱笑5
1.重庆大学建筑城规学院,山地城镇建设与新技术教育部重点实验室,自然资源部国土空间规划监测评估预警重点实验室,副教授;2.济南市济阳区投资促进服务中心,助理经济师;3.重庆大学建筑城规学院,硕士研究生;4.(通讯作者):重庆工商大学公共管理学院,副教授,caoke@ctbu.edu.cn;5.重庆大学建筑城规学院,山地城镇建设与新技术教育部重点实验室,讲师
摘要:
针对存量时期城乡遗产保护由防御 保控“物本”逻辑向文化传承“人本”逻辑 转变的现实背景,以及历史街区访客行为研 究分析模态系统性不足、数据模态可公度性 不足的技术瓶颈,文章基于人本更新视角, 结合“场景理论”与“词袋模型”建构了历 史街区访客行为数据多模态分析方法,用以 解析历史街区空间—访客行为互动机理。该 方法建立了以数据模态为输入模态、分析模 态为输出模态的多源数据系统归口与开放式 研究框架,以及基于人群类别、行为类别、 时间周期和空间属性四维场景要素的“词袋 标签”和“单词语义”模型。基于样本研 究,揭示出历史街区访客行为趋同从众、赶 逐匆促、外骛表浅、交互性弱的现实问题和 重商轻文、平悠假促、昼游夜览的时空分异 规律,以及不同性别、来源地、年龄访客行 为在独立性、目的性、活力度方面的分异表 现。据此提出靶点空间干预、流态场景组构、 差异场景营造的人本更新策略,以期丰富、 拓展既有历史街区访客行为理论,推动历史 街区文化传承与人本更新实践范式创新。
关键词:  历史街区  访客行为  场景词袋  人本更新  数据模态  分析模态
DOI:10.13791/j.cnki.hsfwest.20240911008
分类号:
基金项目:国家自然科学基金面上项目(52578059、52578058)
A multi-modal analysis of visitor behavior data and people-oriented renewal application inhistoric districts based on “bag of scene words” method
XIAO Jing,FU Mengjiao,Tao Jianyu,CAO Ke,Qian Xiao
Abstract:
In response to the practical logic of urban and rural heritage preservation shift from the “material based” defense and control to the “people-oriented” cultural inheritance, during the inventory period, as well as the technical bottleneck of the analysis mode unsystematic and data mode incommensurable of visitor behaviors research in historic districts; the article based on the perspective of people-oriented renewal, and combines the “scene theory” and “bag of words model” to construct the “bag of scene words” method for multi modal analysis of visitor behaviors, in order to reveal the interaction mechanism between space and visitor behavior in historic district. This method constructs a centralized data systems and open research framework with multi data modality as input modality and multi analysis modality as output modality, as well as “bag of words labels” and “word semantics” models based on four-dimensional scene elements such as visitor group category, behavior category, time period, and spatial attributes. Among them, common activities and behaviors in historic districts are divided into six types: aesthetic, cognitive, experiential, leisure, shopping, and check-in; and the spatial system of historic districts is divided into two categories: street and alley spaces, and architectural spaces, as well as six subcategories: streets, alleys, squares, cultural spaces, commercial spaces, and residential spaces. Based on sample research, the article reveals the problems of conformity, haste, superficiality, and weak interactivity of visitors’ behavior in historic districts, as well as the spatiotemporal differentiations of “emphasizing commerce over culture”, “daily leisure, holiday rush” and “daytime strolling, night viewing”, the main manifestation is the polarization of visitor behavior trajectories in the district, concentrated in areas with rich scenic spots and lively environmental atmosphere such as streets, squares, and commercial spaces. Overall, consumer and superficial behaviors are the main ones, easily influenced by consumer culture and online marketing factors, with strong conformity, haste, and weak interactivity; daily behavior is distributed continuously, with a slow rhythm and strong autonomy, and is less affected by spatial factors; the distribution of holiday behaviors is clustered, with a rapid rhythm and significant conformity, and is strongly influenced by factors such as scenic spots popularity and online popularity; daytime behavior is highly cultural and in-depth, influenced by the landscape and historical resources factors in the district; nighttime behavior is characterized by obvious consumerism and superficiality, influenced by the vitality factors in the district such as sound and light environment. In addition, the behavior of visitors of different genders, origins, and ages in the district also shows differentiation in terms of independence, purposefulness, and vitality: the behaviors of male visitors present strong characteristics of cultural and autonomous, weak interactivity, and is influenced by historical resources and spatial quality factors. The behaviors of female visitors present characteristics ofconsumerism, conformity, and strong interactivity, which are influenced by factors such as spatial style and scenic spot popularity. The behaviors of local visitors present characteristics of leisurely, weak purposefulness, and strong interactivity, emphasizing the feeling of spatial atmosphere, and is influenced by factors such as spatial quality, cultural significance, and vitality. The behaviors of non-local visitors present characteristics of haste, strong purposefulness, and weak interactivity; they pay attention to scenic spot check-in and historical cognition, and are influenced by factors such as scenic spot popularity and identification. Young visitors have diverse behavior types and high vitality, influenced by landscape and cultural activities. Middle aged visitors have a single type of behavior, low vitality, and are influenced by humanistic values and environmental quality factors. The behavior types of elderly visitors are significantly different and their vitality is higher, influenced by cultural values and spatial vitality factors. Based on the aforementioned analysis, the article proposes a humanistic renewal strategy for target space intervention, flowing scene composition, and differential scene creation, including multimodal scene creation and renewal methods such as “aesthetic education scene, cultural inheritance scene, deep experience scene, artistic life scene, daily interaction scene, fashionable cultural tourism scene, and traditional festival scene”. The above content aims to enrich and expand the research theory on visitor behavior in historic districts, and promote the connotative and humanistic transformation of preservation and renewal practices in historic districts.
Key words:  historic district  visitor behavior  bag of scene words  people-oriented renewal  data modality  analyzing modality