Analysis of Tourist Market Structure and Its Driving Factors in Small Cities before and after COVID-19
Based on the digital footprint data, exploring the differences in tourist market structure and driving factors before and after COVID-19 is important for identifying tourist market demand and optimizing tourism product supply in the post-pandemic era. Most of the existing studies have explored the i...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-06-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/12/6/243 |
| _version_ | 1797594455296966656 |
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| author | Lili Wu Yi Liu Kuo Liu Yongji Wang Zhihui Tian |
| author_facet | Lili Wu Yi Liu Kuo Liu Yongji Wang Zhihui Tian |
| author_sort | Lili Wu |
| collection | DOAJ |
| description | Based on the digital footprint data, exploring the differences in tourist market structure and driving factors before and after COVID-19 is important for identifying tourist market demand and optimizing tourism product supply in the post-pandemic era. Most of the existing studies have explored the impact of the pandemic on the tourist market in well-known or large cities and have provided suggestions for tourism recovery. However, these suggestions are not entirely applicable to smaller cities. Small cities have a single level of tourism product, high homogeneity of tourism resources, small tourist market scale, and high volatility of the tourism industry. Therefore, it is necessary to study the differences in the tourist market structure of small cities and its driving factors before and after the pandemic and to propose targeted measures for the tourism recovery in the post-pandemic period. This paper, taking small cities as the study area and using online travel diaries as the data source, analyzed the differences in the spatial and temporal structures of tourist markets and their driving factors in Dengfeng and Kaifeng, China, before and after the pandemic. Then, countermeasures for tourism industry recovery in the post-pandemic era were proposed. The results were as follows: the difference in the tourism off-peak season increased after the pandemic, and the concentration of tourist market spatial distribution in Dengfeng showed a decreasing trend while that in Kaifeng showed an increasing trend. In addition to region traffic, the driving effects of leisure time, climate comfort and residents’ income level weakened after the outbreak. Dengfeng and Kaifeng can enhance the tourist market tendency and attractiveness by creating special indoor tourism projects, strengthening tourism product promotion and marketing and enhancing the facilities related to self-driving tours. |
| first_indexed | 2024-03-11T02:22:51Z |
| format | Article |
| id | doaj.art-cbefc011450c46d991dd1c8682231e60 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-11T02:22:51Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-cbefc011450c46d991dd1c8682231e602023-11-18T10:43:52ZengMDPI AGISPRS International Journal of Geo-Information2220-99642023-06-0112624310.3390/ijgi12060243Analysis of Tourist Market Structure and Its Driving Factors in Small Cities before and after COVID-19Lili Wu0Yi Liu1Kuo Liu2Yongji Wang3Zhihui Tian4School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Geoscience and Technology, Zhengzhou University, Zhengzhou 450001, ChinaBased on the digital footprint data, exploring the differences in tourist market structure and driving factors before and after COVID-19 is important for identifying tourist market demand and optimizing tourism product supply in the post-pandemic era. Most of the existing studies have explored the impact of the pandemic on the tourist market in well-known or large cities and have provided suggestions for tourism recovery. However, these suggestions are not entirely applicable to smaller cities. Small cities have a single level of tourism product, high homogeneity of tourism resources, small tourist market scale, and high volatility of the tourism industry. Therefore, it is necessary to study the differences in the tourist market structure of small cities and its driving factors before and after the pandemic and to propose targeted measures for the tourism recovery in the post-pandemic period. This paper, taking small cities as the study area and using online travel diaries as the data source, analyzed the differences in the spatial and temporal structures of tourist markets and their driving factors in Dengfeng and Kaifeng, China, before and after the pandemic. Then, countermeasures for tourism industry recovery in the post-pandemic era were proposed. The results were as follows: the difference in the tourism off-peak season increased after the pandemic, and the concentration of tourist market spatial distribution in Dengfeng showed a decreasing trend while that in Kaifeng showed an increasing trend. In addition to region traffic, the driving effects of leisure time, climate comfort and residents’ income level weakened after the outbreak. Dengfeng and Kaifeng can enhance the tourist market tendency and attractiveness by creating special indoor tourism projects, strengthening tourism product promotion and marketing and enhancing the facilities related to self-driving tours.https://www.mdpi.com/2220-9964/12/6/243tourist market structuretourist flowdigital footprintonline travel diary |
| spellingShingle | Lili Wu Yi Liu Kuo Liu Yongji Wang Zhihui Tian Analysis of Tourist Market Structure and Its Driving Factors in Small Cities before and after COVID-19 ISPRS International Journal of Geo-Information tourist market structure tourist flow digital footprint online travel diary |
| title | Analysis of Tourist Market Structure and Its Driving Factors in Small Cities before and after COVID-19 |
| title_full | Analysis of Tourist Market Structure and Its Driving Factors in Small Cities before and after COVID-19 |
| title_fullStr | Analysis of Tourist Market Structure and Its Driving Factors in Small Cities before and after COVID-19 |
| title_full_unstemmed | Analysis of Tourist Market Structure and Its Driving Factors in Small Cities before and after COVID-19 |
| title_short | Analysis of Tourist Market Structure and Its Driving Factors in Small Cities before and after COVID-19 |
| title_sort | analysis of tourist market structure and its driving factors in small cities before and after covid 19 |
| topic | tourist market structure tourist flow digital footprint online travel diary |
| url | https://www.mdpi.com/2220-9964/12/6/243 |
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