Search results
Based on illustrative case study data from Qingdao (China), the framework, combining traditional quantitative and social network analysis, is able to pinpoint: (1) The influence of distance decay...
100 tourist flows, scholars have provided proposals for improved tourism infrastructure (Smallwood, 101 Beckley & Moore, 2012), travel guides (Zheng, Zha & Chua, 2012), tourism management (Liu, 102 Zhang, Zhang, Sun, & Qiu, 2019) and marketing (Asakura & Iryo, 2007), etc.
1 gru 2020 · Based on illustrative case study data from Qingdao (China), the framework, combining traditional quantitative and social network analysis, is able to pinpoint: (1) The influence of distance decay and attractions’ popularity on the spatial patterns of tourist flows; (2) The uneven distribution of the core tourist nodes and the existence of the ...
1 gru 2020 · The results from the case study location Qingdao (China) verified that the proposed framework produces a comprehensive overview of the spatial patterns of tourist flows and shows differences in regional tourism resources.
8 sty 2024 · This paper will make a gray correlation analysis on various factors affecting the development of Qingdao tourism: resource advantage, infrastructure and market demand, analyze the impact of ...
14 sie 2024 · Based on the geographical specificity of Qingdao and existing research results [52,53,54,55,56], this study constructs an indicator system of factors impacting the spatial distribution of Qingdao’s tourism and leisure industry.
Based on Qingdao’s POI data, spatial visualisation methods and Geodetector are used to explore spatial distribution, accessibility, and influencing factors. (1) It is found that the overall and various types of the tourism and leisure industry in Qingdao exhibit clustered distribution, with an imbalance between coastal and inland areas.
