Together with Hanaoka Research Group (led by Prof. Shinya Hanaoka) and as part of Ms. Sifan Dong’s Master’s thesis, we have published a paper (Sustainability, 2020) which details how we can introduce the changes in urban cover brought about by the presence of railways and its stations. Its underlying assumption is that railway stations attract more urban development than in areas farther from the said stations.
The paper focuses on the testing of two proposed improvements, namely “Extended SLEUTH” and “SLEUTsH”. The former relies on tweaking a default input of the SLEUTH model named “Exclusion layer”. The latter relies on introducing an additional layer that explicitly representations railway stations. The improvements were implemented in rapidly developing satellite cities, namely Tsukuba of Japan, and Gurugram of India. These cities have shown strong historical evidence of railway-induced urban growth. In the paper, we highlight the advantages, disadvantages of the two limitations.
This breakthrough will serve to advance our understanding of future climate in light of plausible changes in the urban cover (i.e. urbanization). An existing high-resolution global urban growing dataset has been produced by Zhou et al. (2019). It is one of our goals to improve this dataset by introducing the effects of public transport to urban growth. To download the existing global urban cover dataset and the proposed models, visit https://urbanclimate.tse.ens.titech.ac.jp/.
Source: “Varquez, A.C.G.; Dong, S.; Hanaoka, S.; Kanda, M. Improvement of an Urban Growth Model for Railway-Induced Urban Expansion. Sustainability2020, 12, 6801″.
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