Abstract
Global warming has become a major environmental concern in recent years. It is believed that urban heat island issues have caused health problems and thus we aim to investigate the impact of the heat island effect on housing prices by studying Whampoa Garden – one of the largest trading volume housing estates in Hong Kong. Landsat 8, an advance satellite that comprises the camera of the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS) were used to collect satellite images from 2014 to 2018 from the United States Geological Survey (USGS). All the satellite images of the study points are equipped with the least cloud. We then used that information to conduct housing price prediction via AutoML.
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References
Keikhosravi, Q.: The effect of heat waves on the intensification of the heat island of Iran’s metropolises (Tehran, Mashhad, Tabriz, Ahvaz). Urban Clim. 28, 100453 (2019)
Zhang, L., Fukuda, H., Liu, Z.: The value of cool roof as a strategy to mitigate urban heat island effect: a contingent valuation approach. J. Clean. Prod. 228, 770–777 (2019)
Wang, W., et al.: Remote sensing image-based analysis of the urban heat island effect in Shenzhen, China. Phys. Chem. Earth Parts A/B/C 110, 168–175 (2019)
Shirani-Bidabadi, N., et al.: Evaluating the spatial distribution and the intensity of urban heat island using remote sensing, case study of Isfahan city in Iran. Sustain. Cities Soc. 45, 686–692 (2019)
Huang, X., Wang, Y.: Investigating the effects of 3D urban morphology on the surface urban heat island effect in urban functional zones by using high-resolution remote sensing data: a case study of Wuhan, Central China. ISPRS J. Photogramm. Remote Sens. 152, 119–131 (2019)
Hofierka, J., et al.: Physically-based land surface temperature modeling in urban areas using a 3-D city model and multispectral satellite data. Urban Clim. 31, 100566 (2020)
Li, R.Y.M., Chau, K.W.: Econometric Analyses of International Housing Markets. Routledge, London (2016)
Li, R.Y.M., Li, H.C.Y.: Have housing prices gone with the smelly wind? Big data analysis on landfill in Hong Kong. Sustainability 10(2), 341 (2018)
Li, R.Y.M., Cheng, K.Y., Shoaib, M.: Walled buildings, sustainability, and housing prices: an artificial neural network approach. Sustainability 10(4), 1298 (2018)
Li, R.Y.M.: The usage of automation system in smart home to provide a sustainable indoor environment: a content analysis in Web 1.0. Int. J. Smart Home 7(4), 47–59 (2013)
Li, R.Y.M.: The internalisation of environmental externalities affecting dwellings: a review of court cases in Hong Kong. Econ. Aff. 32(2), 81–87 (2012)
Yu, S., Zhang, L.: The impact of monetary policy and housing purchase restrictions on housing prices in China. Int. Econ. J. 33(2), 286–309 (2019)
Granger, C.W.J.: Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37(3), 424–438 (1969)
Loftis, M.W., Mortensen, P.B.: A dynamic linear modelling approach to public policy change. J. Public Policy 38(4), 553–579 (2018)
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Li, R.Y.M., Chau, K.W., Li, H.C.Y., Zeng, F., Tang, B., Ding, M. (2021). Remote Sensing, Heat Island Effect and Housing Price Prediction via AutoML. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1213. Springer, Cham. https://doi.org/10.1007/978-3-030-51328-3_17
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DOI: https://doi.org/10.1007/978-3-030-51328-3_17
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