Paper
30 August 2023 Identification, evaluation, and construction of potential leftover spaces based on parametric design platform: a study of Daxiaoma block in Guangzhou
Tong Chen, Hao Ma, Jing Liang, Chengfang Wang
Author Affiliations +
Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 127971J (2023) https://doi.org/10.1117/12.3007344
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China
Abstract
In the urban renewal context, the leftover spaces in the city need to be uncovered and utilized. However, the existing studies on urban leftover spaces are still inadequate, particularly in the construction of leftover spaces. These studies are mainly based on qualitative and theoretical suggestions, lacking quantitative index-oriented decision-making suggestions. With the extensive integration of the Rhino + Grasshopper parametric platform with urban design, the application of such techniques to the identification and evaluation of leftover spaces could be conducted. Given the above research gap, this study used the parametric platform to measure the spatial type, pedestrian flow potential, and thermal comfort of leftover spaces to identify potential leftover spaces. Then, this study provided specific design recommendations for their spatial construction based on multiple leftover spaces evaluation indicators. The model constructed in this study is helpful to excavate urban leftover spaces with utilization potential at a small spatial scale, such as a block. This model can also provide a scientific design assistance reference, which is an effective tool to improve urban land use efficiency and urban space quality.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Tong Chen, Hao Ma, Jing Liang, and Chengfang Wang "Identification, evaluation, and construction of potential leftover spaces based on parametric design platform: a study of Daxiaoma block in Guangzhou", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 127971J (30 August 2023); https://doi.org/10.1117/12.3007344
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KEYWORDS
Design and modelling

Visualization

Roads

Geographic information systems

Mathematical modeling

Thermal effects

Thermal modeling

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