面向多场景体验的攀枝花文旅数智行程规划平台研究——植物解说、古树识别与花期经济协同设计

Research on Panzhihua Cultural Tourism Digital-Intelligent Itinerary Planning Platform for Multi-Scenario Experience—Collaborative Design of Plant Interpretation, Ancient Tree Identification and Flowering Period Economy

摘要: 攀枝花植物生态旅游资源存在“体验浅层、服务割裂、技术悬浮”等核心问题，研究从体验科学、空间智能和协同设计等交叉角度，核心载体为运用协同设计方法论将植物解说、古树识别、花期经济等多个场景体验有机融合起来的“数智行程规划平台”，并拟借助智能算法对多源生态和文化数据进行时空优化配置以产生个性化动态行程，以期将沉睡资源转变为深度沉浸式体验的解决方案，促进技术应用、生态内容和文旅消费深度融合，为区域智慧文旅发展提供创新模式。

Abstract: The plant ecotourism resources in Panzhihua are confronted with core problems, such as “shallow experience, fragmented services, and disconnected technology”. From the interdisciplinary perspectives of experience science, spatial intelligence, and collaborative design, this research takes as its core carrier a “digital-intelligent itinerary planning platform” that organically integrates multiple scenario experiences (including plant interpretation, ancient tree identification, and flowering period economy) by applying the collaborative design methodology. It intends to leverage intelligent algorithms to perform spatiotemporal optimal allocation of multi-source ecological and cultural data, thereby generating personalized and dynamic itineraries. The research aims to transform dormant resources into solutions for in-depth immersive experiences, promote the in-depth integration of technological applications, ecological content, and cultural tourism consumption, and provide an innovative model for the development of regional smart cultural tourism.