Exploratory data analysis onmountaineering patterns of 2030 generationsin the Seoul metropolitan area before and after COVID-19
The purpose of this study was to analyze the user comprehensively behavior to cope appropriately with the increasing demand for mountain usage from users in their 20s and 30s and to allocate resources efficiently. To analyze the behavior of hiking users, exploratory data analysis (EDA) was conducted on the data which has been collected in the Marketlink (online) trekking road user information and app Tranggle (offline). Online data is for residents of the metropolitan area, and offline data is for visitors in the mountains located in the metropolitan area. MarketLink provided user information for trekking road, and Tranggle provided user data for the top 13 mountains in the metropolitan area. After data pre-processing, mountain usage patterns were analyzed through statistical analysis and visualization. The number of online searching for trekking road increased in 2020 by 1.22 times compared to 2019. However, in the case of 2020, the search volume declined after June, so it did not recover to the level of 2019. Also, among men and women in their 20s and 30s, only women in their 30s saw a significant decline in search volume. The number of usages of offline data (Tranggle) increased 1.36 times in 2020 compared to 2019. The utilization rate of the well-established hiking trails has increased. The usage of mountain on weekends (Saturday > Sunday) was still the highest, and the difference in the usage on weekdays decreased. Outside of working hours, early morning usage has increased and night-time usage has decreased. There was no significant change in activity type, level (experience value) and exercise properties. Since COVID-19, the usage of mountains has been changing around low density and close range. After COVID-19, the function and role of forests in daily life are expected to increase. To cope with this, further research needs to be carried out with consideration of the wider demographic and social characteristics. Keywords: Covid-19, Youth and young generation, Monitoring and data collection, Human health and well-being. ID: 3623482
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| Format: | Article biblioteca |
| Language: | English |
| Published: |
FAO ;
2022
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| Online Access: | https://openknowledge.fao.org/handle/20.500.14283/CC1013EN http://www.fao.org/3/cc1013en/cc1013en.pdf |
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| Summary: | The purpose of this study was to analyze the user comprehensively behavior to cope appropriately with the increasing demand for mountain usage from users in their 20s and 30s and to allocate resources efficiently. To analyze the behavior of hiking users, exploratory data analysis (EDA) was conducted on the data which has been collected in the Marketlink (online) trekking road user information and app Tranggle (offline). Online data is for residents of the metropolitan area, and offline data is for visitors in the mountains located in the metropolitan area. MarketLink provided user information for trekking road, and Tranggle provided user data for the top 13 mountains in the metropolitan area. After data pre-processing, mountain usage patterns were analyzed through statistical analysis and visualization. The number of online searching for trekking road increased in 2020 by 1.22 times compared to 2019. However, in the case of 2020, the search volume declined after June, so it did not recover to the level of 2019. Also, among men and women in their 20s and 30s, only women in their 30s saw a significant decline in search volume. The number of usages of offline data (Tranggle) increased 1.36 times in 2020 compared to 2019. The utilization rate of the well-established hiking trails has increased. The usage of mountain on weekends (Saturday > Sunday) was still the highest, and the difference in the usage on weekdays decreased. Outside of working hours, early morning usage has increased and night-time usage has decreased. There was no significant change in activity type, level (experience value) and exercise properties. Since COVID-19, the usage of mountains has been changing around low density and close range. After COVID-19, the function and role of forests in daily life are expected to increase. To cope with this, further research needs to be carried out with consideration of the wider demographic and social characteristics.
Keywords: Covid-19, Youth and young generation, Monitoring and data collection, Human health and well-being.
ID: 3623482 |
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