基于排序选择模型的游客拥挤感知分析

为合理获取游客旅游拥挤感知，挖掘视觉评估法、身临其境法、游客自填法中旅游拥挤感知机理，分别从感知对象、感知觉等方面探讨3种调查方法获取的游客拥挤感知数据的差异.设计并开展了意向调查、定量分析回忆时长、客流密度等因素对3种调查方法获取的旅游拥挤感知的影响，建立旅游拥挤感知模型，对参数的局部效应进行分析.结果表明：客流密度、客流分布特征、记忆时长等变量对游客的拥挤感知度具有显著性影响；客流密度每增加1.00人/m²，3种调查方法获取的游客拥挤感知度（Y=2）的概率分别减少3.06%、9.26%和10.23%，游客自填法获取的游客拥挤感知度较为敏感；高拥挤感知度（Y=4~5）区间，身临其境法最敏感.

Tourists' crowding perception analysis based on ordered choice model

To reasonably obtain the congestion perception of tourists, a perception mechanism of visual assessment method, immersive method, and tourist self-registration method was explored, and the differences of three survey methods were discussed in terms of perceived objects and perception. The stated preference survey was designed and carried out to quantitatively analyze the impact of factors such as recall time and density on tourists congestion perception acquired by the three survey methods. A tourists congestion perception model was established and the partial effects of the parameters were analyzed. Results show that the variables including tourist density, distribution characteristic, and recall time, have a significant impact on tourists congestion perception degree. For each increase of 1.00 person/m² of tourist density, the probability of tourists congestion perception degree (Y=2) under the three methods is reduced by 3.06%, 9.26% and 10.23%, respectively, which indicates that tourists congestion perception degree under self-registration method is the most sensitive, while the tourists congestion perception degree (Y=4-5) is the most sensitive under the immersive method.