All Issue

2020 Vol.7, Issue 3 Preview Page

Original Article


September 2020. pp. 171-180
Abstract


References
1 
De Jonge, E., van Pelt, M., and Roos, M. 2012. Time patterns, geospatial clustering and mobility statistics based on mobile phone network data. In, Proceeding of the Federal Committee on Statistical Methodology Research Conference, January 10-12. Washington D.C.: Washington Convention Center.
2 
Deville, P., Linard, C., Martin, S., Gilbert, M., Stevens, F.R., Gaughan, A.E., Blondela, V.D., and Tatem, A.J. 2014. Dynamic population mapping using mobile phone data. In, Proceeding of the National Academy of Sciences, 111. 45: 15888-15893.
10.1073/pnas.140843911125349388PMC4234567
3 
Dixon, J., Elders, I., and Bell, K. 2018. Electric vehicle destination charging demand characterizations at popular amenities.
4 
Douglass, R.W., Meyer, D.A., Ram, M., Rideout, D., and Song, D. 2015. High resolution population estimates from telecommunications data. EPJ Data Science, 4. 1: 1-13.
10.1140/epjds/s13688-015-0040-6
5 
Kim, J.E., Park, C., Kim, A.Y., and Kim, H.G. 2019a. Analysis of behavioral characteristics by park types displayed in 3rd generation SNS. Journal of the Korean Institute of Landscape Architecture 47(2): 49-58. (in Korean)
10.9715/KILA.2019.47.2.049
6 
Kim, J.H., Ko, Y.S., Kim, J.K., and Kim, D.H. 2014. The application of smart cell in space policy. Sejong: Korea Research Institute for Human Settlements. (in Korean)
7 
Kim, S.J., Kim, C.S., and Kim, J.S. 2019b. Estimating visitors on water-friendly space in the river using mobile big data and UAV. Ecology and Resilient Infrastructure 6(4): 250-257. (in Korean)
8 
Kim, T.J., Lee, D.R., Jang, S.M., and Kwon, H.H. 2017. Generation of radar rainfall data for hydrological and meteorological application (Ⅱ) : radar rainfall ensemble. Journal of Korea Water Resources Association 50(1): 17-28. (in Korean)
10.3741/JKWRA.2017.50.1.17
9 
KRIHS. 2018. using the mobile big data for the smart river space management. Korea Research Institute for Human Settlements, Sejong, Korea.
10 
Lee, J.S. and Lee, S.E. 2019. A study on classification and characterization of water-friendly space for the smart river space management using the mobile big data. Korea Research Institute for Human Settlements 9: 69-82. (in Korean)
10.15793/kspr.2019.102..005
11 
Lee, J.S., Lee, S.E., and Choi, J.Y. 2019. Using the mobile big data for the smart river space management: data validation and water-friendly space indicators. Korea Research Institute for Human Settlements 6: 3-18. (in Korean)
10.15793/kspr.2019.101..001
12 
MOLIT. 2016. Study on river maintenance evaluation and improvement plan. Ministry of Land and Infrastructure and Transport, Sejong Korea.
13 
MOLIT. 2017. A study on the utilization of the 4 rivers waterfront using mobile big data. Ministry of Land and Infrastructure and Transport, Sejong Korea.
14 
NARS. 2017. Management status and improvement tasks of waterfront park. NARS Field Survey Report No.55. National Assembly Research Service, Seoul, Korea.
Information
  • Publisher :Korean Society of Ecology and Infrastructure Engineering
  • Publisher(Ko) :응용생태공학회
  • Journal Title :Ecology and Resilient Infrastructure
  • Journal Title(Ko) :응용생태공학회 논문집
  • Volume : 7
  • No :3
  • Pages :171-180
  • Received Date :2020. 07. 30
  • Revised Date :2020. 09. 28
  • Accepted Date : 2020. 09. 28