Study on the B&B image of Siming Mountain based on visitor's perception
QIU Feng1， GAN Qingya1， ZHANG Wangwang2
1.Department of Geography &Spatial Information Techniques， Ningbo University， Ningbo， Zhejiang 315211；2.Yuyao City Siming Mountain Tourism Development and Construction Office， Ningbo， Zhejiang 315211
Abstract：In order to clarify the development trend of B&B emerging in the mass consumer market， the perceptual images of Bed and Breakfast (B&B) in Siming Mountain is studied based on social network analysis and common word correlation analysis in this article taking the consumer subject as the research object withthe high frequency words of the guesthouse extracted by Rost Content Mining software,. Research found that 1) familiy visitors is the main part of bed and breakfast consumption followed by couple friends and business trip； 2) Visitors' precerption of housing image elements are relatively concentrated， mainly including the room， the boss， facilities， enthusiasm， the environment， breakfast and other elements； 3) geographic position is an important part of the residential image， and room facilities based on host's hobbies become important influencing factors of visitor perception differences； compared with the standardized hotel， the personalized service and service attitude of the B & B is the highlight of the guest house， but the tourists in the short term are less likely to stay again. Finally， it is concluded that the development of bed and breakfast products should take into account the needs of different groups of people and pay attention to product diversification； taking into account the accessibility of public transport depending on the corresponding tourism resources， and increasing the source market； B & B operators should build personalized bed and breakfast products integrating their own experiences and design related activities to increase the visitor's desire to stay.
邱 枫,干青亚,张望望. 基于游客感知的四明山民宿意象研究[J]. 华中师范大学学报(自然科学版), 2017, 51(4): 561-568.
QIU Feng,GAN Qingya,ZHANG Wangwang. Study on the B&B image of Siming Mountain based on visitor's perception. journal1, 2017, 51(4): 561-568.
2017, Vol. 51 
