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Urbanization effect of mega sporting events using sentinel-2 satellite images: The case of the pyeongchang olympics
•A systematic analysis of urbanization effect from the Olympic event was performed.•We used various urbanization monitoring methodologies using satellite images.•Spectral Indices obtained through a combination of specific bands were extracted.•Land cover classification models such as Random Forest a...
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Published in: | Sustainable cities and society 2021-11, Vol.74, p.103158, Article 103158 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •A systematic analysis of urbanization effect from the Olympic event was performed.•We used various urbanization monitoring methodologies using satellite images.•Spectral Indices obtained through a combination of specific bands were extracted.•Land cover classification models such as Random Forest and CNN were used.•The correlation between economic and urbanization indicators was explored.
This study attempts to understand the impact of mega sporting events on local economies by identifying and comparing the urbanization and economic effects of the 2018 Pyeongchang Winter Olympic Games. However, for an accurate evaluation of the effects of hosting the Winter Olympics, it is necessary to consider not only the ripple effect on the local economy but also the increased potential for urban growth from the expansion of social overhead capital. This study calculates the urbanization index and land cover ratio using Sentinel-2 satellite images to examine the urbanization from infrastructure construction for the Pyeongchang Winter Olympics. It additionally analyzes the changes in land price and tax revenue during this period to understand the economic effects of the Olympics, and verifies the correlation between urbanization and economic indicators. The study is unique in that it analyzes the impact of a national event on local communities using satellite image data and presents a comprehensive methodology to understand urban sustainability by monitoring urban changes. |
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ISSN: | 2210-6707 2210-6715 |
DOI: | 10.1016/j.scs.2021.103158 |