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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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Zhongzhen Yang, Jionghao Li, Wenyuan Zhou, Feng Lian
Pág. 187 - 214
This study explores the optimal subsidy policy to maximize the benefits associated with the suburbanization of university campuses. A transport accessibility index is introduced, and a model is developed to analyze faculty housing relocation, incorporati...
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Qingyan Wang, Longzhi Sun and Xuan Yang
Rice yield is essential to global food security under increasingly frequent and severe climate change events. Spatial analysis of rice yields becomes more critical for regional action to ensure yields and reduce climate impacts. However, the understandin...
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Kees Nederhoff, Sean C. Crosby, Nate R. Van Arendonk, Eric E. Grossman, Babak Tehranirad, Tim Leijnse, Wouter Klessens and Patrick L. Barnard
The Puget Sound Coastal Storm Modeling System (PS-CoSMoS) is a tool designed to dynamically downscale future climate scenarios (i.e., projected changes in wind and pressure fields and temperature) to compute regional water levels, waves, and compound flo...
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Fahad Alshehri and Mark Ross
This hydrological study investigated a combined rating methodology tested on a 14,090 km2 area in Southwest Florida. The approach applied the Hydrological Simulation Program-Fortran (HSPF) over a 23-year period and was validated by 28 stream gauging stat...
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