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Weiying Wang and Toshihiro Osaragi
The generation and prediction of daily human mobility patterns have raised significant interest in many scientific disciplines. Using various data sources, previous studies have examined several deep learning frameworks, such as the RNN and GAN, to synth...
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Alessandro Muolo, Barbara Zagaglia, Alvaro Marucci, Francisco Escrivà Saneugenio, Adele Sateriano and Luca Salvati
To delineate new directions of urban development in a context of demographic shrinkage in Southern Europe, the present study illustrates a comparative analysis of the demographic balance in metropolitan Athens, Greece (1956?2021). The analysis delineates...
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Itai Beeri, Meirav Aharon Gutman and Jonathan Luzer
We explore two complementary mechanisms that are designed to work together to reduce spatial inequality?redrawing municipal borders and the redistribution of tax resources. This study?s methodology is based on the empirical analysis of 376 decisions of b...
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Rafiu Oyelakin, Wenyu Yang and Peter Krebs
Fitting probability distribution functions to observed data is the standard way to compute future design floods, but may not accurately reflect the projected future pattern of extreme events related to climate change. In applying the latest coupled model...
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Lei Zhou, Weiye Xiao, Chen Wang, Haoran Wang
Pág. 143 - 161
Human mobility datasets, such as traffic flow data, reveal the connections between urban spaces. A novel framework is proposed to explore the spatial association between urban commercial and residential spaces via consumption travel flows in Shanghai. A ...
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