绍兴市在线民宿现状及需求的影响因素探究

Research on the Current Situation and Demand of Online Home Stay in Shaoxing

丰富的旅游资源使绍兴市的在线民宿得到了快速发展。本文基于爬虫技术爬取了浙江省11个地级市爱彼迎官网上的在线民宿数据,经清洗、预处理、描述数据后,依次建立评价模型、差异性分析模型、多元有序Logistic回归模型、在线评论语义网络模型,探究绍兴市在线民宿发展现状及需求的影响因素,为该行业健康、有序发展提供借鉴。实证结果表明:绍兴市在线民宿需求的分散程度大,常见户型为整套公寓等;发展得分与浙江省其他地级市均有显著差异,且在卧室个数、床个数、需求因素上与宁波市具有显著差异;床个数、优惠政策、户型为影响绍兴市在线民宿需求的主要因素。最后提出建议以供参考。

The rich tourism resources have led to the rapid development of online home stay in Shaoxing. Based on the crawler technology, this paper crawls the online home stay data on the official website of Aibiying in 11 prefecture level cities in Zhejiang Province. After cleaning, preprocessing and describing the data, it successively establishes the evaluation model, difference analysis model, multiple ordered logistic regression model and online comment semantic network model to explore the development status and influencing factors of the demand of online home stay in Shaoxing, so as to provide reference for the healthy and orderly development of the industry. The empirical results show that the demand for online home stay in Shaoxing is highly dispersed, and the common house types are complete apartments;The development score is significantly different from that of other prefecture level cities in Zhejiang Province, and there are significant differences with Ningbo in the number of bedrooms, beds and demand factors;The number of beds, preferential policies and house types are the main factors affecting the demand for online home stay in Shaoxing. Finally, some suggestions are put forward for reference.