Open Access research that is solving urban design problems...

The Department of Architecture reflects the multi and trans-disciplinary nature of architecture and urbanism, focussing on real-world problems. This includes the work of the Urban Design Studies Unit (UDSU), which is pioneering 'urban morphometrics', harnessing spatial data science, urban geo-data processing, and machine learning approaches to better understand cities, their form, functions and impact, with the ultimate goal of making them more resilient.

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Number of items: 2.

B

Behrendt, Marco and de Angelis, Marco and Comerford, Liam and Beer, Michael; (2022) Assessing the severity of missing data problems with the interval discrete Fourier transform algorithm. In: Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022). Research Publishing, IRL, pp. 2553-2560. ISBN 9789811851834

N

N. MacKinnon, Scott and Farag, Yasser and Sotiralis, Panagiotis and Dandu Basappa, Rithvik and Thomson, Robert and Kirwan, Barry and Lopez Llobet, Marta; Leva, Maria Chiara and Patelli, Edoardo and Podofillini, Luca and Wilson, Simon, eds. (2022) Using occurrence data to map the elements of a risk model. In: Proceedings of the 32nd European Safety and Reliability Conference (ESREL2022). Research Publishing, Singapore, pp. 3151-3156. ISBN 9789811851834

This list was generated on Wed Mar 22 03:36:24 2023 GMT.