- 文化产业研究
- 文章编号：1009-6000(2025)11-0007-08
- 中图分类号：F32；TU984 文献标识码：B
- Doi：10.3969/j.issn.1009-6000.2025.11.002
- 项目基金：国家自然科学基金面上项目“都市圈临界合作区的功能地域识别、发展潜力评估及空间协同模式研究——以武汉都市圈为例”（52 278 0 62）；科技部重点研发计划课题“城市群都市圈‘三链’空间耦合机理及生产空间优化调控技术” （2022YFC3800103）。
- 作者简介：单卓然，华中科技大学建筑与城市规划学院，教授，副院长，博导，研究方向为城市群都市圈复杂网络计算与空间协同规划技术、超（特）大城市地域结构理论与数智规划技术、城市文商旅业态融合更新与空间增值设计；
张馨月，华中科技大学建筑与城市规划学院，硕士研究生；
陈瞻，湖北省住房保障建设管理有限公司董事长，高级工程师，高级经济师；
袁满，通信作者，华中科技大学建筑与城市规划学院，副教授。
- 体验经济视角下武汉市沉浸式文娱空间演化特征与区位决策机制研究
- Evolutionary Dynamics and Location Decisions of Immersive Cultural and Entertainment Spaces in Wuhan under the Experience Economy
- 单卓然 张馨月 陈瞻 袁满
- SHAN Zhuoran ZHANG Xinyue CHEN Zhan YUAN Man
- 摘要：
在体验经济转型背景下，沉浸式文娱产业作为文旅融合的新兴业态，其空间分布规律与区位选择机制亟待深入研究。文章以武汉市为实证区域，综合运用统计面板数据、大众点评数据和 POI 地理信息数据，采用多尺度地理加权回归（MGWR）模型，对 2019—2024 年城市沉浸式文娱空间的演化特征及其驱动因素进行系统分析。研究发现：（1）6 年间，武汉市沉浸式文娱空间经历了三阶段非线性的演变，整体实现了数量快增，由初期“多点分散”格局演变为“江汉路—光谷”双核集聚模式，并伴随三环线外的微扩散趋势；（2）与传统文娱空间相比，沉浸式文娱空间的区位选址机制呈现显著的差异性，其中用地成本、关联产业集聚度、配套设施完善度、消费体验口碑等构成核心决策因素，而传统区位理论中的交通可达性和消费水平等经典指标则呈现弱相关性。结合问题诊断和对空间优化目标的判断，对武汉市沉浸式文娱空间的布局提出优化建议。 - 关键词：
沉浸式文娱空间；空间演化；区位选择；多尺度地理加权回归；沉浸式群体社交游戏； 武汉市 - Abstract: Amid the transformation toward an experience-based economy, immersive cultural and entertainment industries—emerging from the integration of culture and tourism—require deeper analysis of their spatial distribution and locational decisions. Using Wuhan as a case study, this paper employs the multi-scale geographically weighted regression (MGWR) model to examine the spatial evolution and driving factors of immersive cultural and entertainment spaces from 2019 to 2024. The analysis integrates panel statistics, consumer review data from Dazhong Dianping, and POI geospatial data. The findings reveal that: (1) over six years, immersive cultural and entertainment spaces experienced a three-stage nonlinear evolution, shifting from a dispersed pattern to a dual-core agglomeration around “Jianghan road—Guanggu”, accompanied by outward diffusion beyond the third ring road; (2) compared with traditional cultural and entertainment spaces, the locational determinants of immersive spaces differ substantially—core factors include land costs, industrial clustering, supporting infrastructure, and consumer reputation, whereas classical indicators such as traffic accessibility and income levels show weak correlations. Based on these results, the paper offers spatial optimization recommendations for enhancing the urban immersive cultural and entertainment spaces.
- Key words: immersive cultural and entertainment spaces; spatial evolution; locational decisions; multi-scale geographically weighted regression (MGWR); immersive group-based social gaming; Wuhan city