참고문헌
- Bagchi, M. and White, P. R. (2005). The potential of Public Transport Smart Card Data, Transport Policy, 12, 464-474. https://doi.org/10.1016/j.tranpol.2005.06.008
- Banerjee, S., Carlin, B. P. and Gelfand, A. E. (2004). Hierarchical Modeling and Analysis for Spatial Data, Chapman & Hall/CRC, Boca Raton, Florida.
- Besag, J. E. (1974). Spatial interaction and the statistical analysis of lattice systems (with discussion), Journal of the Royal Statistical Society B, 36, 192-225.
- Best, N. G., Arnold, R. A., Thomas, A., Waller, L. A. and Conlon, E. M. (1999). Bayesian models for spatially correlated disease and exposure data, Bayesian Statistics, axford University Press, Oxford, 6, 131-156.
- Blythe, P. (2004). Improving Public Transport Ticketing through Smart Cards, Proceedings of the Institute of Civil Engineers: Municipal Engineer, 157, 47-54.
- Bryan, H. and Blythe, P. (2007). Understanding behavior through Smart card Data Analysis, Proceedings of the Institute of Civil Engineers: Transport, 160, 173-177.
- Chu, K. K. and Chapleau, R. (2008). Enriching Archived Smart Card Transaction Data for Transit Demand Modeling, Transportation Research Record: Journal of the Transportation Research Board, No. 2063, Transportation Research Board of the National Academies, Washington, D.C., 63-72.
- Cliff, A. and Ord, J. K. (1972). Testing for Spatial Autocorrelation among Regression Residuals, Geographical Analysis, 4, 267-284.
- Cliff, A. and Ord, J. K. (1981). Spatial Processes, Models and Applications, Pion Limited, Las Vegas.
- Conlon, E. M. and Waller, L. A. (2000). Flexible spatial hierarchical models for mapping disease rates", American Statistical Association Proceedings of the Section on Statistics and the Environment, 82-87.
- Cressie, N., Kaiser, M. S., Daniels, M. J., Aldworth, J., Lee, J., Lahiri, S. N. and Cox, L. H. (1999). Spatial analysis of particulate matter in an urban environment, in Gomez-Hernandez, J., Soares, A. and Froidevaux, R. (Eds.): geoENV II - Geostatistics for Environmental Applications, Kluwer, Dordrecht, 41-52.
- Ding, Y. and Fotheringham, A. S. (1992). The integration of spatial analysis and GIS, Computers, Environment and Urban Systems, 16, 3-19. https://doi.org/10.1016/0198-9715(92)90050-2
- Eom, J. K., Choi, M. H., Kim, D. S., Lee, J. and Song, J. Y. (2009). Evaluation of Metro Services based on Transit Smart Card Data (A Case Study of Incheon Line 1), Journal of The Korean Society for Railway, 15, 80-87. https://doi.org/10.7782/JKSR.2012.15.1.080
- Eom, J. K., Lee, J. and Lee, K. S. (2013). Access and Egress Patterns of Travel to a Regional Railway Station Based on Transit Smart Card Data (Case study: Seoul Station during Chuseok Holiday), Journal of The Korean Society for Railway, 16, 59-64. https://doi.org/10.7782/JKSR.2013.16.1.059
- Eom, J. K., Park, M. S. and Heo, T. Y. (2012). Estimating Probability of Mode Choice at Regional Level by Considering Spatial Association of Departure Place, Journal of The Korean Society for Railway, 12, 656-662.
- Geary, R. C. (1954). The contiguity ratio and statistical mapping, The Incorporated Statistician, 5, 115-145. https://doi.org/10.2307/2986645
- Gelman, A. and Rubin, D. B. (1992). Inference from iterative simulations using multiple sequences, Statistical Science, 7, 457-511. https://doi.org/10.1214/ss/1177011136
- Goodchild, M. F. (1986). Spatial Autocorrelation, CATMOG 47, Geobooks: Norwich UK.
- Goodchild, M. F. (1987). A spatial analytical perspective on geographical information systems, International Journal of Geographical Information Systems, 1, 335-354. https://doi.org/10.1080/02693798708927821
- Goodchild, M. F., Haining, R. P. and Wise, S. M. (1992). Integrating GIS and spatial data analysis: Problems and possibilities, International Journal of Geographical Information Systems, 6, 407-423. https://doi.org/10.1080/02693799208901923
- Jang, W. (2010). Travel Time and Transfer Analysis Using Transit Smart Card Data, CD-ROM. Proceedings of 89th Annual Transportation Research Board Meeting, Washington, D.C.
- Kaiser, M. S., Daniels, M. J., Furakawa, K. and Dixon, P. (2002). Analysis of particulate matter air pollution using Markov random field models of spatial dependence, Environmetrics, 13, 615-628. https://doi.org/10.1002/env.534
- Lim, Y. T., Park, C., Kim, D. S., Eom, J. K. and Lee, J. (2012). Estimating Trip Distribution Model by Using Transit Card Data, Journal of Transport Research, 19, 1-11.
- Moran, P. (1950). Notes on continuous stochastic phenomena, Biometrika, 37, 17-23. https://doi.org/10.1093/biomet/37.1-2.17
- R Development Core Team. (2005). R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, (Available from www.R-project.org).
- Sokal, R. R. and Oden, N. L. (1978). Spatial autocorrelation in biology, I. Methodology, Biological Journal of the Linnen Society, 10, 199-228. https://doi.org/10.1111/j.1095-8312.1978.tb00013.x
- Spiegelhalter, D. J., Thomas, A. and Best, N. G. (2000). WinBUGS Version 1.4 User Manual, Cambridge: Medical Research Council Biostatistics Unit, 2000. (Available from http://www.mrc-bsu.cam.ac.uk/bugs)
- Utsunomiya, M., Attanucci, J. and Wilson, N. H. (2006). Potential Uses of Transit Smart Card Registration and Transaction Data to Improve Transit Planning, Transportation Research Record: Journal of the Transportation Research Board, No. 1971, Transportation Research Board of the National Academies, Washington, D.C., 119-126.
피인용 문헌
- On the Geometric Anisotropy Inherent In Spatial Data vol.27, pp.5, 2014, https://doi.org/10.5351/KJAS.2014.27.5.755
- Analysis of Relative Preference on Transit Mode by Administrative district for Accessibility of Seoul Station vol.51, pp.7, 2016, https://doi.org/10.17208/jkpa.2016.12.51.7.135