School of Business, Liaoning University, Shenyang, People's Republic of China.
School of Tourism Management, Shenyang Normal University, Shenyang, People's Republic of China.
PLoS One. 2022 Feb 4;17(2):e0263411. doi: 10.1371/journal.pone.0263411. eCollection 2022.
This study explores the spatial structure of regional tourism cooperation networks among 27 cities in the Yangtze River Delta from the perspective of supply and demand. Data from the supply network were collected from official news released by the Chinese government and quotations for tour routes published by travel agencies. Travel notes published on tourists' blog community platforms about their travel experiences were used as source data for the demand network. The degree of cooperation between the cities was analyzed based on the frequency of occurrence and co-occurrence of information on tourist attractions or cities in the Yangtze River Delta region in tourist notes, tourist route quotes, and official news. This study divides 27 cities in the Yangtze River Delta region into three categories: those where supply matches demand (e.g., Shanghai and Nanjing), nine cities where there is a demand lag (e.g., Zhenjiang), and 16 cities where there is a supply lag (e.g., Wuxi). Investigating the differences between the supply and demand networks is helpful to understand the effectiveness of regional tourism cooperation mechanisms and government policies, which is crucial for the sustainability and good governance of regional tourism.
本研究从供给和需求两个视角探讨了长三角 27 个城市的区域旅游合作网络的空间结构。供给网络的数据来源于中国政府发布的官方新闻和旅行社发布的旅游线路报价，需求网络的数据则来源于游客在博客社区平台上发表的旅游游记中关于长三角地区旅游景点或城市的信息出现的频次和共现情况。本研究根据旅游游记、旅游线路报价和官方新闻中关于长三角地区旅游景点或城市信息的出现频次和共现情况，将长三角地区的 27 个城市分为三类：供给与需求匹配的城市（如上海和南京）、需求滞后的九个城市（如镇江）和供给滞后的 16 个城市（如无锡）。研究供给和需求网络之间的差异有助于理解区域旅游合作机制和政府政策的有效性，这对于区域旅游的可持续性和良好治理至关重要。
