基于BP神经网络的少数民族村寨文化型旅游 体验产品潜在游客挖掘

Potential Tourist Mining of Cultural Tourism Experience Products in Ethnic Minority Villages Based on BP Neural Network

摘要: 在乡村振兴战略背景下，文旅融合成为乡村经济发展的重要动力。贵州省少数民族村寨文化型旅游体验产品面临同质化、浅层化、配套不足等问题。本文基于1437份潜在游客问卷，运用BP神经网络挖掘消费偏好与关键影响因素，发现产品丰富度、体验质量、定价与易得性是核心制约因素。研究提出产品优化策略与“政 + 企 + 校”协同机制，为破解民族地区文旅低效开发困境、促进文化传承与乡村可持续发展提供支撑。

Abstract: Against the background of the rural revitalization strategy, the integration of culture and tourism has become an important driving force for rural economic development. Cultural tourism experience products in ethnic minority villages in Guizhou Province are faced with problems such as product homogenization, superficial cultural expression, and inadequate supporting facilities. Based on 1437 questionnaires from potential tourists, this paper uses a BP neural network to explore their consumption preferences and key influencing factors, and finds that product richness, experience quality, pricing, and accessibility are the core constraints. This study proposes product optimization strategies and a “government-enterprise-university” collaborative mechanism, so as to provide support for solving the dilemma of inefficient development of culture and tourism in ethnic areas, and promoting cultural inheritance and sustainable rural development.