文旅大数据建设的规划逻辑与模型构建

Planning Logic and Model Construction for Cultural and Tourism Big Data Construction

摘要: 文旅产业数字化转型深入推进，大数据体系已成为支撑文旅高质量发展的关键抓手，但当前实践仍面临规划碎片化、数据孤岛突出、流通交易不畅、应用赋能浅层、供给滞后等现实困境。本文立足文旅行业特性，构建价值驱动–系统集成–协同治理三维规划逻辑框架，明确体系建设的目标、结构与治理内在统一关系；创新提出文旅大数据能力成熟度模型(CTD-CMM)，设置治理、技术、市场、应用四大维度及五个递进等级，将线性实现路径转化为适配区域差异的非线性、可迭代、非均衡演进范式。研究揭示规划逻辑与成熟度模型的耦合机制，形成“理念–架构–能力–价值”完整闭环，并经杭州西湖、成都“智旅”案例验证其解释力与适用性。最后从统一标准、培育生态、强化安全等方面提出政策建议，为破解文旅数据治理难题、推进数据要素市场化配置、赋能产业深度融合提供理论支撑与实践指引。

Abstract: The digital transformation of the cultural and tourism industry is progressing rapidly, and big data systems have become a key tool supporting high-quality development. However, current practices still face challenges such as fragmented planning, prominent data silos, inefficient circulation and transactions, superficial application empowerment, and lagging supply. This paper, based on the characteristics of the cultural and tourism industry, constructs a three-dimensional planning logic framework of value-driven, system integration, and collaborative governance, clarifying the inherent unity between the goals, structure, and governance of the system construction. It innovatively proposes a Cultural and Tourism Big Data Capability Maturity Model (CTD-CMM), setting four dimensions-governance, technology, market, and application-and five progressive levels, transforming the linear implementation path into a non-linear, iterative, and non-equilibrium evolution paradigm adapted to regional differences. The research reveals the coupling mechanism between planning logic and the maturity model, forming a complete closed loop of “concept-architecture-capability-value”, and verifies its explanatory power and applicability through case studies of Hangzhou West Lake and Chengdu “Smart Tourism”. Finally, policy recommendations are proposed from aspects such as unified standards, ecosystem cultivation, and enhanced security, providing theoretical support and practical guidance for solving the challenges of cultural and tourism data governance, promoting the market-based allocation of data elements, and empowering deep industry integration.