The impact of scale on extracting urban mobility patterns using texture analysisComputational Urban Science - Tập 3 - Trang 1-19 - 2023
Khan Mortuza Bin Asad, Yihong Yuan
The development of high-precision location tracking devices and advancements in data collection, storage, transmission technologies, and data mining algorithms have led to the availability of large datasets with high spatiotemporal resolution. These geospatial big data can be used to identify human movement patterns in urban areas. However, identifying human movement patterns may yield different r...... hiện toàn bộ
Urban modification of heavy rainfall: a model case study for Bhubaneswar urban regionComputational Urban Science - Tập 3 - Trang 1-19 - 2023
Madhusmita Swain, Raghu Nadimpalli, Ananda K. Das, U. C. Mohanty, Dev Niyogi
An increase in urbanization has been witnessed from 1980 to 2019 in Bhubaneswar, Odisha. The impact of this increase in urban areas on rainfall pattern and intensity has been assessed in this study. To evaluate these changes, four heavy rainfall events, such as 06th March 2017, 23rd May 2018, 20 – 22 July 2018, and 04 – 08 August 2018, have been simulated with 1980, 2000, and 2019 land use land co...... hiện toàn bộ
Improving the local climate zone classification with building height, imperviousness, and machine learning for urban modelsComputational Urban Science - Tập 2 - Trang 1-20 - 2022
Kwun Yip Fung, Zong-Liang Yang, Dev Niyogi
The Local Climate Zone (LCZ) classification is already widely used in urban heat island and other climate studies. The current classification method does not incorporate crucial urban auxiliary GIS data on building height and imperviousness that could significantly improve urban-type LCZ classification utility as well as accuracy. This study utilized a hybrid GIS- and remote sensing imagery-based ...... hiện toàn bộ
“Re-evaluating the health performance of historical buildings using WELLV1 rating system”Computational Urban Science - Tập 3 - Trang 1-17 - 2023
Hala Mohamed Raslan, Dalia Shebl Saeed
The Southeast Tunisian cave dwellings of Matmata are a well-known historical model which amazingly adapt with cultural, environmental and climatic features of its surrounding. Many studies have discussed the sustainability of these dwellings but none has thoroughly discussed its performance on light of health and wellbeing of its dwellers. The WELLV1 rating system, established in 2016, is a first ...... hiện toàn bộ