Peixue Liu , Zhanjing Zeng , Huanying Wang , Honglei Zhang , Jianxin Zhang , Zehua Liu
{"title":"大流行病恢复期的抗危机旅游市场:来自孔庙景区的证据","authors":"Peixue Liu , Zhanjing Zeng , Huanying Wang , Honglei Zhang , Jianxin Zhang , Zehua Liu","doi":"10.1016/j.tmp.2024.101221","DOIUrl":null,"url":null,"abstract":"<div><p>This study investigates regional variations in the pace and scope of tourism recovery after the shock of the COVID-19 pandemic. A recovery index was created to objectively analyze the process of demand change based on monthly tourism volume data obtained from 309 source cities for China's well-known destination. The mechanisms behind the recovery process were identified using a multiscale geographically weighted regression model. The findings indicate that the recovery process can be divided into four stages and that source cities' recovery varies greatly depending on their location and distance to the tourism destination. The study highlights that tourist demand is significantly influenced by socioeconomic factors, geographic location, and travel preferences. The results have significant managerial implications for tourism DMOs seeking to optimize their COVID-19 recovery efforts.</p></div>","PeriodicalId":48141,"journal":{"name":"Tourism Management Perspectives","volume":"51 ","pages":"Article 101221"},"PeriodicalIF":7.3000,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Crisis-resistant tourism markets in the pandemic recovery: Evidence from the Confucius Temple Scenic Area\",\"authors\":\"Peixue Liu , Zhanjing Zeng , Huanying Wang , Honglei Zhang , Jianxin Zhang , Zehua Liu\",\"doi\":\"10.1016/j.tmp.2024.101221\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study investigates regional variations in the pace and scope of tourism recovery after the shock of the COVID-19 pandemic. A recovery index was created to objectively analyze the process of demand change based on monthly tourism volume data obtained from 309 source cities for China's well-known destination. The mechanisms behind the recovery process were identified using a multiscale geographically weighted regression model. The findings indicate that the recovery process can be divided into four stages and that source cities' recovery varies greatly depending on their location and distance to the tourism destination. The study highlights that tourist demand is significantly influenced by socioeconomic factors, geographic location, and travel preferences. The results have significant managerial implications for tourism DMOs seeking to optimize their COVID-19 recovery efforts.</p></div>\",\"PeriodicalId\":48141,\"journal\":{\"name\":\"Tourism Management Perspectives\",\"volume\":\"51 \",\"pages\":\"Article 101221\"},\"PeriodicalIF\":7.3000,\"publicationDate\":\"2024-02-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tourism Management Perspectives\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2211973624000047\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HOSPITALITY, LEISURE, SPORT & TOURISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tourism Management Perspectives","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211973624000047","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
Crisis-resistant tourism markets in the pandemic recovery: Evidence from the Confucius Temple Scenic Area
This study investigates regional variations in the pace and scope of tourism recovery after the shock of the COVID-19 pandemic. A recovery index was created to objectively analyze the process of demand change based on monthly tourism volume data obtained from 309 source cities for China's well-known destination. The mechanisms behind the recovery process were identified using a multiscale geographically weighted regression model. The findings indicate that the recovery process can be divided into four stages and that source cities' recovery varies greatly depending on their location and distance to the tourism destination. The study highlights that tourist demand is significantly influenced by socioeconomic factors, geographic location, and travel preferences. The results have significant managerial implications for tourism DMOs seeking to optimize their COVID-19 recovery efforts.
期刊介绍:
Tourism Management Perspectives is an interdisciplinary journal that focuses on the planning and management of travel and tourism. It covers topics such as tourist experiences, their consequences for communities, economies, and environments, the creation of image, the shaping of tourist experiences and perceptions, and the management of tourist organizations and destinations. The journal's editorial board consists of experienced international professionals and it shares the board with Tourism Management. The journal covers socio-cultural, technological, planning, and policy aspects of international, national, and regional tourism, as well as specific management studies. It encourages papers that introduce new research methods and critique existing ones in the context of tourism research. The journal publishes empirical research articles and high-quality review articles on important topics and emerging themes that enhance the theoretical and conceptual understanding of key areas within travel and tourism management.