id |
caadria2024_433 |
authors |
Sun, Chengyu, Meng, Yu and Wang, Xinru |
year |
2024 |
title |
Scale Mismatching: Prevalent Compactness Indexes of Urban Form DO NOT Work in Computational Urban Design |
doi |
https://doi.org/10.52842/conf.caadria.2024.2.455
|
source |
Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 455–464 |
summary |
This study systematically evaluates and compares the effectiveness of 9 prevalent indexes for measuring the compactness of building distributions at the meso-scale through comparative experiments. Experiments primarily employ an ideal sample with controlled variables, and superior indicators are further tested in actual urban areas. The assessment, grounded in sensitivity and consistency, adopts rigorous quantitative criteria and is compared against a baseline computed by cohesion evaluation based on graph (GCE). Research findings indicate: (a) when quantifying compactness differences in same scale regions: Directly employing GCE or the improved T* is recommended; (b) when comparing compactness differences in regions of diverse scales, GCE is recommended; if using ENN or ANN, supplementary evaluation is necessary; (c) in studies of urban morphology effects mechanisms, it is advisable to utilize GCE instead of T*, as T* presents collinearity issues with footprint density. None of the remaining indexes is recommended for the above scenario at meso-scale. This research distinctly reveals the limitations of prevalent compactness indexes at meso-scale and suggests superior alternatives. |
keywords |
urban morphology measurement, building distribution compactness, compactness indexes, index applicability |
series |
CAADRIA |
email |
|
full text |
file.pdf (822,965 bytes) |
references |
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last changed |
2024/11/17 22:05 |
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