| 摘要: |
| 目的 在城市高质量发展背景下，从使用者视角，研究影响轨道交通站域文化活力的设计因素与提升策略。方法 以天津市为研究案例地，运用POI空间聚集度分析，选取文化活力值较高的4个轨交站域作为实地问卷调查对象，构建结构方程模型(SEM)，探究影响轨交站域文化活力的设计因素。结果 归纳出服务设施、文化氛围、媒介感知、文化活动、场所衔接5个因子对轨交站域文化活力具有显著的正向影响。其中，服务设施、文化氛围的影响效应最强，媒介感知、文化活动、场所衔接的影响效应次之。结论 基于研究可知，在细微中完善服务设施，注重人文关怀;促进站域媒介空间设计，增强文化体验;连通地上地下叙事场景，提升文化感知，将有利于提升轨道交通站域的文化活力。 |
| 关键词: 轨道交通站域 文化活力 设计影响因素 结构方程模型(SEM) 使用者评价 |
| DOI：10.19554/j.cnki.1001-3563.2023.20.040 |
| 分类号:TB472 |
| 基金项目:2020年天津市艺术科学规划项目(C20012) |
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| Cultural Vitality Enhancement Design of Rail Transit Station Based on SEM Model |
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SUN Xiang1, LIU Wei-wei2,3, ZHONG Lei1
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(1. Tianjin University of Technology, Tianjin 300384, China;2. Tianjin University, Tianjin 300072, China;3. Tianjin Renai College, Tianjin 301636, China)
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| Abstract: |
| The work aims to study the design factors and enhancement strategies that affect the cultural vitality of rail transit stations in the context of high-quality urban development from the perspective of users. With Tianjin City as a case study, POI spatial aggregation analysis was used to select four rail transit stations with high cultural vitality as field survey objects, and structural equation model (SEM) was constructed to explore the design factors affecting the cultural vitality of rail transit stations.It was concluded that service facilities, cultural atmosphere, media perception, cultural activities and place connection had significant positive effects on the cultural vitality of the rail transit stations. Among them, service facilities and cultural atmosphere had the strongest effect, followed by media perception, cultural activities and place connection. Based on the research, it can be seen that improving service facilities and focusing on humanistic care, promoting the media space design of the site and enhancing the cultural experience, connecting the above-ground and underground narrative scenes and improving cultural perception will help to enhance the cultural vitality of the rail transit station. |
| Key words: rail transit station cultural vitality design influencing factors structural equation model (SEM) user evaluation |
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