참고문헌
- Bin M. Y., Mun J. B. (2012), A Study on the Traffic Speed Estimation Using Bus Information, Gyeonggi Research Institute, Suwon, South Korea.
- Bollen J., Mao H., Zeng X. J. (2011), Twitter Mood Predicts the Stock Market, Journal of Computational Science, 2(1), 1-8. https://doi.org/10.1016/j.jocs.2010.12.007
- Choi H., Varian H. (2009a), Predicting the Present With Google Trends, Google Technical Report.
- Choi H., Varian H. (2009b), Predicting Initial Claims for Unemployment Insurance Using Google Trends, Technical Report.
- Choi H., Varian H. (2012), Predicting the Present With Google Trends, The Economic Record, 88, 2-9. https://doi.org/10.1111/j.1475-4932.2012.00809.x
- Cooper C., Mallon K., Leadbetter S., Pollack L., Peipins L. (2005), Cancer Internet Search Activity on a Major Search Engine, United States 2001-2003, Journal of Medical Internet Research, 7(3), e36. https://doi.org/10.2196/jmir.7.3.e36
- Ettredge M., Gerdes J., Karuga G. (2005), Using Webbased Search Data to Predict Macroeconomic Statistics, Communications of the ACM, 48(11), 87-92. https://doi.org/10.1145/1096000.1096010
- Ginsberg J., Mohebbi M. H., Patel R. S., Brammer L., Smolinski M. S., Brilliant L. (2009), Detecting influenza epidemics Using search engine query data, Nature, 457, 1012-1014. https://doi.org/10.1038/nature07634
- Goel S., Hofman J. M., Lahaie S., Pennock D. M., Watts D. J. (2010), Predicting consumer behavior With Web search, Proceedings of the National Academy of Sciences, 7(41), 17486-17490.
- Jang J. A., Chung W. H., Choi K. C. (2005), Bi-variate and Muli-variate Time Series-based Algorithm for Link Travel Speed Estimation, Proceedings of Korean Society of Civil Engineers, 3741-3745.
- Ju J. W. (2013), Time Series Analysis and Modeling for the Investigation of Seawater Intrusion into Fractured Rock Aquifer in Muan, Korea, Chonnam National University, A Master's Thesis
- Jun S. P., Park D. H. (2013), Intelligent Brand Positioning Visualization System Based on Web Search Traffic Information : Focusing on Tablet PC, J Intell Inform Syst, 19(3), 93-111. https://doi.org/10.13088/jiis.2013.19.3.093
- Jun S. P., Yeom J. H., Son J. K. (2014), A Study of the Method Using Search Traffic to Analyze New Technology Adoption, Technol. Forecast. Soc. Change, 81, 82-95. https://doi.org/10.1016/j.techfore.2013.02.007
- Kim H. S. (2009), A Study on Time and Space Variation of Traffic Flow Characteristics on a Merge Influence Section in Uninterrupted Facility, Hanyang University, Doctoral Dissertation.
- Kim K. H., Kim H., S. (2011), KTX Passenger Demand Forecast With Intervention ARIMA Model, Journal of the Korean Society of Road Engineers, 14(5), 470-476.
- Kim M. S., Koo P. H. (2013), A Study on Big Data Based Investment Strategy Using Internet Search Trends, Journal of the Korean Operations Research and Management Science Society, 34(4), 53-63.
- Lee J. M., Kwon Y. J. (2011), A Study on Dynamic Change of Transportation Demand Using Seasonal ARIMA Model, J. Korean Soc. Transp, 29(5), Korean Society of Transportation, 139-155.
- Lee S. J., Back N. C., Kwon H. J. Choi D. S., Do M. S. (2001), The AADT Estimation Through Time Series Analysis Using Irregular Factor Decomposition Method, J. Korean Soc. Transp, 19(6), Korean Society of Transportation, 65-73.
- Manheim M. L. (1979), Fundamentals of Transportation Systems Analysis, MIT Press, Cambridge, Massachusetts, USA.
- McLaren L., Shanbhogue R. (2011), Using Internet Search Data as Economic Indicator, Quarterly Bulletin, Q2, 134-140.
- Min K. C., Jun Y. I., Ha H. K. (2013), Forecasting the Air Cargo Demand With Seasonal ARIMA Model: Focusing on ICN to EU Route, J. Korean Soc. Transp, 31(3), Korean Society of Transportation, 3-18. https://doi.org/10.7470/jkst.2013.31.3.003
- Moat H. S., Curme C., Avakian A., Kenett D. Y., Stanley H. E., Preis T. (2013), Quantifying Wikipedia Usage Patterns Before Stock Market Moves, Scientific Report, 3, 1801, 1-5.
- Polgreen P. M., Chen Y., Pennock D. M., Nelson F. D. (2008), Using Internet Searches for Influenza Surveillance, Healthcare Epidemiology, 47, 1443-1448.
- Preis T., Reith D., Stanley H. E. (2010), Complex Dynamics of Our Economic Life on Different Scales : Insights From Search Engine Query Data, Philosophical Transactions of the Royal Society, 368, 5707-5719. https://doi.org/10.1098/rsta.2010.0284
- Yoo S. L., Kim J. S., Jeong J. S., Jeong J. Y. (2014), A Prediction of Marine Traffic Volume Using Artificial Neural Network and Time Series Analysis, Journal of the Korean Society of Marine Environment & Safety, 20(1), 33-041. https://doi.org/10.7837/kosomes.2014.20.1.033
- Google Trends: http://www.google.com/trends
- Naver Trend: http://trend.naver.com
- Korea Expressway Co. OASIS: http://data.ex.co.kr
피인용 문헌
- A study of Search trends about herbal medicine on online portal vol.31, pp.4, 2016, https://doi.org/10.6116/kjh.2016.31.4.93.
- Exploring the Temporal Relationship Between Traffic Information Web/Mobile Application Access and Actual Traffic Volume on Expressways vol.34, pp.1, 2016, https://doi.org/10.7470/jkst.2016.34.1.001
- Forecasting Short-Term Housing Transaction Volumes using Time-Series and Internet Search Queries vol.23, pp.6, 2015, https://doi.org/10.1007/s12205-019-1926-9