自助游时代旅游需求日趋零散化。大多数旅游需求在需求提出和需求满足之间存在一定的时间差，同时，游客个体的旅游需求中存在大量的柔性需求，这为实现旅游需求的协商式聚合提供了可能。课题提出了旅游需求的协商式聚合思路，引入需求社群、需求场景、可议需求与不可议需求、需求协商代理等概念，构建协商式需求自动聚合的基础理论框架；基于自动协商技术研究旅游需求的协商式自动聚合方法，将旅游需求聚合分为需方协商聚合和需供交互协商聚合两种情境，对两种情境下的协商与聚合框架、聚合决策模型、协商流程与协商协议和相应算法等关键问题进行深入研究，以实现旅游需求的协商式、自动化聚合，提升旅游需求聚合的柔性化程度和聚合效果；设计并实现相应的原型系统，验证方法的可行性，为旅游业开发新型旅游电子商务平台提供原型参考。课题旨在探寻聚合零散旅游服务需求、提高旅游服务资源利用率的新方法和新技术，具有重要的理论研究意义和实际应用价值。

Self-help tour has become the main tourists travel way. Tourists' travel demand is increasingly fragmented and decentralized. There is always a certain time difference between travel demands be requested and be met. At the same time, there is a lot of flexible demand in the tourism demand of individual tourists. This provides the possibility of negotiable aggregation for travel demands. Aiming at solving the aggregation problem of fragmented travel demands, a basic theory framework of negotiable demand aggregation will be constructed by introducing concepts of Demand Community, Demand Scenario, Negotiable Demand and non-Negotiable Demand, Demand Negotiation Agent. Negotiable and automatic aggregation method for travel demand will be studied based on automatic negotiation technology. Travel demand aggregation activities are divided into two types of scenario: demand-side negotiation and supply-demand interactive negotiation. Fundamental scientific issues in two scenarios about the negotiation and aggregation framework, aggregation decision model, negotiation process, negotiation protocols and algorithm will be studied in-depth to achieve the negotiable and automated aggregation of fragmented travel demand. This project will design and implement a corresponding prototype system to verify the feasibility of the method and provide a prototype reference for the tourism industry to develop new tourism e-commerce platform. This project is to find new methods and technologies to aggregate travel service demand and improve tourism services resource utilization. Therefore, it has important theoretical significance and practical application value.