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AI赋能的资源枯竭型城市全域旅游规划策略研究——以鹤岗市为例

AI-Empowering Regional Tourism Planning Strategy for Resource-Exhausted Cities:Case Study of Hegang City
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摘要 资源枯竭型城市普遍面临产业结构单一、经济下行、人口外流与空间功能退化等多重困境,传统转型路径难以有效支撑其可持续发展需求。本文以黑龙江省鹤岗市为典型案例,从“AI+全域旅游”视角切入,探讨人工智能技术对资源枯竭型城市旅游空间重构与产业再造的赋能路径。研究构建了“资源挖掘—系统规划—智能管理—沉浸体验”的全流程策略体系,涵盖旅游资源数字化识别、游客分析与线路规划、智慧设施布局以及沉浸式营销体验,提出以AI技术推动资源型城市实现空间治理创新与产业协同升级的规划逻辑,为我国资源枯竭型城市实现高质量转型发展提供借鉴与参考。 Resource-exhausted cities are generally faced with multiple difficulties,such as single industrial structure,economic downturn,population outflow and spatial function degradation,and therefore the traditional transformation path is difficult to effectively support their sustainable development needs.Taking Hegang City in Heilongjiang Province as a typical case,this paper starts from the perspective of“AI+all-region tourism”and discusses the empowering path to the tourism space reconstruction and industrial reconstruction of resource-exhausted cities through artificial intelligence technology.This research builds a whole process strategy system from the“resource mining,system planning,intelligent management to immersive experience”,which covers tourism resources digital identification,tourist analysis and route planning,wisdom facilities layout and immersive marketing experience.And it puts forward to promote resource city through AI technology to further achieve space governance innovation and industrial synergy upgrade planning logic,which provides references for the resource-exhausted city to achieve high quality transformation development provide reference and reference.
作者 周小新 周玉源 张冲 ZHOU Xiaoxin;ZHOU Yuyuan;ZHANG Chong(Heilongjiang Institute of Technology,Harbin 150050,China)
机构地区 黑龙江工程学院
出处 《黑龙江国土资源》 2025年第3期21-29,共9页 Heilongjiang land and Resources
基金 2024年度黑龙江省艺术科学规划项目“新质生产力导向下黑龙江省资源型城市全域旅游发展策略研究”(2024D002) 黑龙江省2023年度研究生精品课程建设项目“虚拟空间艺术研究与实践”。
关键词 资源枯竭型城市 全域旅游 人工智能(AI) resource-exhausted city all-region tourism artificial intelligence(AI)
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