2019 2nd International Conference of Green Buildings and Environmental Management | |
Study on Tourist Flow Network Structure in Jiangsu Province | |
生态环境科学 | |
Pu, Rong^1 ; Lu, Shuying^1 ; Pu, Yuansheng^2 ; Tao, Zhuomin^1 ; Liu, Peixue^3 | |
School of Geographical Science, Nanjing Normal University, Nanjing | |
210023, China^1 | |
chn, Nanjing | |
211135, Nanjing^2 | |
chn, Nanjing | |
210093, Nanjing^3 | |
关键词: Driving factors; Edge structures; High quality; Jiangsu province; Network structures; Northern regions; Southern jiangsu provinces; Variable model; | |
Others : https://iopscience.iop.org/article/10.1088/1755-1315/310/5/052055/pdf DOI : 10.1088/1755-1315/310/5/052055 |
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学科分类:环境科学(综合) | |
来源: IOP | |
【 摘 要 】
In this paper, we used social network analysis (SNA) method to establish and analyse the network structure of the tourist flow of Jiangsu Province in China based on big data, and built a variable model to analyse its influencing factors. The results show that there is an obvious core-edge structure in the network of tourist flow. The centrality index in the southern region of Jiangsu Province is better than that in the northern region. The road distance is the main factor restricting the flow between regions, and the quantity of trains has a significant impact on the tourist flow. That is to say, a place with convenient transportation is the primary choice for people to travel. High quality of tourist facilities and online tourist products can attract tourists. They are also the driving factors for southern Jiangsu Province to play a great role in the tourist flow network.
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Study on Tourist Flow Network Structure in Jiangsu Province | 379KB | download |