• Title/Summary/Keyword: Bus Public Wi-Fi

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A study on the analysis of bus public Wi-Fi security access trends (버스 공공와이파이 보안 접속 동향 분석에 관한 연구)

  • Choi, Hong-Ju
    • Design & Manufacturing
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    • v.15 no.4
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    • pp.14-23
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    • 2021
  • In this study, we have analyzed the access status and the data usage trend of the public Wi-Fi on the bus, which has not been carried out in the previous studies. The analysis period of this study is 5 months from Nov. 2020 to Mar. 2021. When we compared the access status of Seoul metropolitan and the non-metropolitan region against each region's deployment status ratio, the access ratio of the metropolitan region was higher than the non-metropolitan region, of which the gap was 4.53%. The access for each region showed the growing trend, which was 43.5% on average. The data usage also showed the growing trend, 2.7% on average. Weekly data usage showed the growing trend irrespective of weekdays or weekends. The data usage of the weekdays was 695GB higher than weekends. The data usage during commuting hours including school (7:00~9:00 a.m. and 4:00~6:00 p.m.) was higher than 3,000GB. We can conclude that bus public Wi-Fi was used more actively in non-metropolitan region than Seoul metropolitan region by the office workers and students. The secure access also showed the growing trend. And the secure data usage also showed the growing trend.

Locational Characteristics and Use Factors of Public Wi-Fi in the Jeju Province (제주도 공공와이파이의 입지 특성과 이용 요인에 관한 연구)

  • Kim, Heungsoon;Choi, Seungho;Lee, Hamin;Lim, Hawon;Oh, Yunchan;Kim, Seong-A
    • Land and Housing Review
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    • v.12 no.4
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    • pp.1-13
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    • 2021
  • This study investigates the effectiveness of Jeju's public Wi-Fi policy for which the key factors of public Wi-Fi use and location characteristics are analyzed. Spatial regression analysis was conducted within a 100 m radius of public Wi-Fi access points. In the analysis, the dependent variable was public Wi-Fi usage time while independent variables included demographic factors, location factors, and other factors. The findings reveal that demographic factors such as the number of residents, the number of workers, and the number of visitors had a close correlation with the use of public Wi-Fi. In addition, the number of bus stops and land prices of each parcel, land use mix, and AP installation period had a positive correlation with the use of public Wi-Fi. On the contrary, the number of buildings by use, the total floor area of buildings, and the number of tourist attractions had negative correlations with public Wi-Fi usage time. These findings provide policy implications that more active publicity on Jeju's public Wi-Fi is needed and the convenience for access needs to be improved.