과제정보
This work was supported by SNU Environmental Planning Institute.
참고문헌
- Abidoye, R. B., and Chan, A. P., 2018, "Improving property valuation accuracy: A comparison of hedonic pricing model and artificial neural network," Pacific Rim Property Research Journal 24(1), pp.71-83. https://doi.org/10.1080/14445921.2018.1436306
- Anselin, L., 1998, "GIS research infrastructure for spatial analysis of real estate markets," Journal of Housing Research 9(1), pp.113-133. https://doi.org/10.1080/10835547.1998.12091930
- Basu, S., and Thibodeau, T. G., 1998, "Analysis of spatial autocorrelation in house prices," The Journal of Real Estate Finance and Economics 17(1), pp.61-85. https://doi.org/10.1023/A:1007703229507
- Can, A., 1992, "Specification and estimation of hedonic housing price models," Regional science and urban economics 22(3), pp.453-474. https://doi.org/10.1016/0166-0462(92)90039-4
- Case, B., Clapp, J., Dubin, R., and Rodriguez, M., 2004, "Modeling spatial and temporal house price patterns: A comparison of four models," The Journal of Real Estate Finance and Economics 29(2), pp.167-191. https://doi.org/10.1023/B:REAL.0000035309.60607.53
- Chollet, F., 2017, Deep learning with Python, Manning Publications Company.
- Chun, H. J., 2012, "Liquidity-related Variables Impact on Housing Prices and Policy Implications," Journal of the Economic Geographical Society of Korea 15(4), pp.585-600. (Korean) https://doi.org/10.23841/egsk.2012.15.4.585
- Do, Q., and Grudnitski, G., 1993, "A neural network analysis of the effect of age on housing values," Journal of Real Estate Research 8(2), pp.253-264. https://doi.org/10.1080/10835547.1993.12090712
- Dodgson, J. S., and Topham, N., 1990, "Valuing residential properties with the hedonic method: A comparison with the results of professional valuations," Housing Studies 5(3), pp.209-213. https://doi.org/10.1080/02673039008720685
- Dubin, R. A., 1992, "Spatial autocorrelation and neighborhood quality," Regional science and urban economics 22(3), pp.433-452. https://doi.org/10.1016/0166-0462(92)90038-3
- Edmonds Jr, R. G., 1984, "A theoretical basis for hedonic regression: A research primer," Real Estate Economics 12(1), pp.72-85. https://doi.org/10.1111/1540-6229.00311
- Fotheringham, A. S., Charlton, M. E., and Brunsdon, C., 1998, "Geographically weighted regression: a natural evolution of the expansion method for spatial data analysis," Environment and planning A 30(11), pp.1905-1927. https://doi.org/10.1068/a301905
- Garcia, N., Gamez, M., and Alfaro, E., 2008, "ANN+GIS: An automated system for property valuation," Neurocomputing 71(4-6), pp.733-742. https://doi.org/10.1016/j.neucom.2007.07.031
- Geron, A., 2017, Hands-On Machine Learning with Scikit-Learn and TensorFlow, O'Reilly Media.
- Ghorbani, S., and Afgheh, S. M., 2017, "Forecasting the house price for ahvaz city: the comparison of the hedonic and artificial neural network models," Journal of Urban Economics and Management 5(19), pp.29-44.
- Goodman, A. C., 1978, "Hedonic prices, price indices and housing markets," Journal of urban economics 5(4), pp.471-484. https://doi.org/10.1016/0094-1190(78)90004-9
- Goodman, A. C., and Thibodeau T. G., 1998, "Housing market segmentation," Journal of housing economics 7(2), pp.121-143. https://doi.org/10.1006/jhec.1998.0229
- Haykin, S., 2003, Neural Networks: A Comprehensive Foundation 2nd Edition, Prentice Hall PTR.
- Herath, S. K., and Maier, G., 2011, "Hedonic house prices in the presence of spatial and temporal dynamics," Territorio Italia land Administration, Cadastre, Real Estate 1(1), pp.39-49.
- Huang, B., Wu, B., and Barry, M., 2010, "Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices," International Journal of Geographical Information Science 24(3), pp.383-401. https://doi.org/10.1080/13658810802672469
- Jeong, J. H., 2014, "An Analysis of Network Structure in Housing Markets: the Case of Apartment Sales Markets in the Capital Region," Journal of the Economic Geographical Society of Korea 17(2), pp.280-295. (Korean) https://doi.org/10.23841/EGSK.2014.17.2.280
- Khalafallah, A., 2008, "Neural network based model for predicting housing market performance," Tsinghua Science and Technology 13(S1), pp.325-328. https://doi.org/10.1016/S1007-0214(08)70169-X
- Kim, S. J., Jeong, J. H., and Seo, K. C., 2015, "The Conversion Trend of Jeonsei to Monthly Rent Contracts and Its Major Characteristics: The Case of Three Gangnam Districts' APT Rental Market in Seoul," Journal of the Economic Geographical Society of Korea 18(3), pp.348-365. (Korean) https://doi.org/10.23841/egsk.2015.18.3.348
- Koki, S., 2016, Deep Learning from Scratch, OREILLY JAPAN.
- Law, S., Paige, B., and Russell, C., 2019, "Take a look around: using street view and satellite images to estimate house prices," ACM Transactions on Intelligent Systems and Technology 10(5), pp.1-19.
- Law, S., Seresinhe, C. I., Shen, Y., and Gutierrez-Roig, M., 2020, "Street-Frontage-Net: urban image classification using deep convolutional neural networks," International Journal of Geographical Information Science 34(4), pp.681-707. https://doi.org/10.1080/13658816.2018.1555832
- LeCun, Y., Bengio, Y., and Hinton, G., 2015, "Deep learning," nature 521(7553), pp.436-444. https://doi.org/10.1038/nature14539
- Lee, C., and S. H. Kim, 2018, "The Deep Learning Approach to Property Valuation: An Application of a Multilayer Neural Net Model for Estimating House Prices," Journal of The Korean Regional Development Association 30(4), pp.179-201. https://doi.org/10.22885/KRDA.2018.30.4.179
- Lee, W. D., Won, J. S., and Joh, C. S., 2011, "A Study of Correlation between Air Environment Index and Urban Spatial Structure: Based On Land Use and Traffic Data In Seoul," Journal of the Economic Geographical Society of Korea 14(2), pp.143-156. (Korean) https://doi.org/10.23841/egsk.2011.14.2.143
- Lenk, M. M., Worzala, E. M., and Silva, A., 1997, "Hightech valuation: should artificial neural networks bypass the human valuer?" Journal of Property Valuation and Investment 15(1), pp.8-26. https://doi.org/10.1108/14635789710163775
- Loo, W. K., 2019, "Predictability of HK-REITs returns using artificial neural network," Journal of Property Investment & Finance 38(4), pp.291-307. https://doi.org/10.1108/JPIF-07-2019-0090
- Lu, B., Charlton, M., Harris, P., and Fotheringham, A. S., 2014, "Geographically weighted regression with a non-Euclidean distance metric: a case study using hedonic house price data," International Journal of Geographical Information Science 28(4), pp.660-681. https://doi.org/10.1080/13658816.2013.865739
- Mimis, A., Rovolis, A., and Stamou, M., 2013, "Property valuation with artificial neural network: the case of Athens," Journal of Property Research 30(2), pp.128-143. https://doi.org/10.1080/09599916.2012.755558
- Osland, L., 2010, "An application of spatial econometrics in relation to hedonic house price modeling," Journal of Real Estate Research 32(3), pp.289-320. https://doi.org/10.1080/10835547.2010.12091282
- Pai, P. F., and Wang, W. C., 2020, "Using machine learning models and actual transaction data for predicting real estate prices," Applied Sciences 10(17), pp.5832. https://doi.org/10.3390/app10175832
- Peterson, S., and Flanagan, A., 2009, "Neural network hedonic pricing models in mass real estate appraisal," Journal of Real Estate Research 31(2), pp.147-164. https://doi.org/10.1080/10835547.2009.12091245
- Poursaeed, O., Matera, T., and Belongie, S., 2018, "Vision-based real estate price estimation," Machine Vision and Applications 29(4), pp.667-676. https://doi.org/10.1007/s00138-018-0922-2
- Raschka, S., and Mirjalili, V., 2019, Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, Packt Publishing Ltd.
- Rosen, S., 1974, "Hedonic prices and implicit markets: product differentiation in pure competition," Journal of political economy 82(1), pp.34-55. https://doi.org/10.1086/260169
- Stamou, M., Mimis, A., and Rovolis, A., 2017, "House price determinants in Athens: a spatial econometric approach," Journal of Property Research 34(4), pp.269-284. https://doi.org/10.1080/09599916.2017.1400575
- Tay, D. P., and Ho, D. K., 1992, "Artificial intelligence and the mass appraisal of residential apartments," Journal of Property Valuation and Investment 10(2), pp.525-540. https://doi.org/10.1108/14635789210031181
- Tobler, W. R., 1970, "A computer movie simulating urban growth in the Detroit region," Economic geography 46, pp.234-240. https://doi.org/10.2307/143141
- Worzala, E., Lenk, M., and Silva, A., 1995, "An exploration of neural networks and its application to real estate valuation," Journal of Real Estate Research 10(2), pp.185-201. https://doi.org/10.1080/10835547.1995.12090782
- Yang, J. S., 2017, "The Spillover Effect of Public Hosing Policy on Rental Housing Market: The Case of Seoul, Korea," Journal of the Economic Geographical Society of Korea 20(3), pp.403-416. (Korean) https://doi.org/10.23841/EGSK.2017.20.3.403
- Zhou, X., Tong, W., and Li, D., 2019, "Modeling Housing Rent in the Atlanta Metropolitan Area Using Textual Information and Deep Learning," ISPRS International Journal of Geo-Information 8(8), pp.349. https://doi.org/10.3390/ijgi8080349
- Zietz, J., Zietz, E. N., and Sirmans, G. S., 2008, "Determinants of house prices: a quantile regression approach," The Journal of Real Estate Finance and Economics 37(4), pp.317-333. https://doi.org/10.1007/s11146-007-9053-7