Choong-Ki Kim
Biographic Data
| ID | 6304672 |
|---|---|
| NAME | Choong-Ki Kim |
| GIVEN NAMES | Choong-Ki |
| FAMILY NAME | Kim |
| SIGNATURE | KIM C |
| AFFILIATIONS | Korea Environment Institute |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 13 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Where and Why Travelers Visit? Classifying Coastal Tourism Activities Using Geotagged Image Content from Social Media Data
Accurate information regarding the size, activity, and distribution of coastal tourists is essential for the effective management and planning of coastal tourism. In this study, geotagged photos uploaded to social network services were classified to identify coastal tourism activities. These activities were linked with spatial-scale data on tourist numbers estimated from social media data. To classify the activities, which included recreation, ap…
Coastal Tourism Spatial Planning at the Regional Unit
There is an increasing need for spatial planning to manage coastal tourism, and applying social media data has emerged as an effective strategy to support coastal tourism spatial planning. Researchers and decision-makers require spatially explicit information that effectively reveals the current visitation state of the region. The purpose of this study is to identify coastal tourism hotspots considering appropriate spatial units in the regional s…
Quantifying and mapping cooling services of multiple ecosystems
Social big data informs spatially explicit management options for national parks with high tourism pressures
Nature-based tourism in protected areas is an easily experienced ecosystem service that humans enjoy, but it acts as tourism pressures on ecosystem. Some park managers, however, lack an understanding of the spatial distribution and ecological impact of these pressures. We analyzed the size and spatial distribution of these pressures in Korean national parks, using visitor statistics and social big data. In addition, by overlay it with endangered …
Quantifying nature-based tourism in protected areas in developing countries by using social big data
Spatial visitation patterns and its features on nature-based tourism are difficult to assess using only a field-based survey, which is costly and labor intensive. However, understanding of a protected area's visitation status is critical, as it can strongly influence the sustainability of natural resources. Hence, it is important to identify ‘where people visit’ and ‘why people visit,’ to evaluate the features attractive to tourists. In this rega…
Quantifying nature-based tourism in protected areas in developing countries by using social big data
Spatial visitation patterns and its features on nature-based tourism are difficult to assess using only a field-based survey, which is costly and labor intensive. However, understanding of a protected area's visitation status is critical, as it can strongly influence the sustainability of natural resources. Hence, it is important to identify ‘where people visit’ and ‘why people visit,’ to evaluate the features attractive to tourists. In this rega…
Social big data informs spatially explicit management options for national parks with high tourism pressures
Nature-based tourism in protected areas is an easily experienced ecosystem service that humans enjoy, but it acts as tourism pressures on ecosystem. Some park managers, however, lack an understanding of the spatial distribution and ecological impact of these pressures. We analyzed the size and spatial distribution of these pressures in Korean national parks, using visitor statistics and social big data. In addition, by overlay it with endangered …
Quantifying nature-based tourism in protected areas in developing countries by using social big data
Spatial visitation patterns and its features on nature-based tourism are difficult to assess using only a field-based survey, which is costly and labor intensive. However, understanding of a protected area's visitation status is critical, as it can strongly influence the sustainability of natural resources. Hence, it is important to identify ‘where people visit’ and ‘why people visit,’ to evaluate the features attractive to tourists. In this rega…
Social big data informs spatially explicit management options for national parks with high tourism pressures
Nature-based tourism in protected areas is an easily experienced ecosystem service that humans enjoy, but it acts as tourism pressures on ecosystem. Some park managers, however, lack an understanding of the spatial distribution and ecological impact of these pressures. We analyzed the size and spatial distribution of these pressures in Korean national parks, using visitor statistics and social big data. In addition, by overlay it with endangered …
Coastal Tourism Spatial Planning at the Regional Unit
There is an increasing need for spatial planning to manage coastal tourism, and applying social media data has emerged as an effective strategy to support coastal tourism spatial planning. Researchers and decision-makers require spatially explicit information that effectively reveals the current visitation state of the region. The purpose of this study is to identify coastal tourism hotspots considering appropriate spatial units in the regional s…
Quantifying and mapping cooling services of multiple ecosystems
Where and Why Travelers Visit? Classifying Coastal Tourism Activities Using Geotagged Image Content from Social Media Data
Accurate information regarding the size, activity, and distribution of coastal tourists is essential for the effective management and planning of coastal tourism. In this study, geotagged photos uploaded to social network services were classified to identify coastal tourism activities. These activities were linked with spatial-scale data on tourist numbers estimated from social media data. To classify the activities, which included recreation, ap…
Geography (5 works) · Computer Science (4 works) · Diverse Aspects of Tourism Research (4 works) · Ecology (4 works) · Environmental resource management (4 works) · Tourism (4 works) · Environmental Science (3 works) · Land Use and Ecosystem Services (3 works) · World Wide Web (3 works) · Big data (2 works)