| id |
caadria2021_173 |
| authors |
Xu, Wenzhao, Huang, Xiaoran and Kimm, Geoff |
| year |
2021 |
| title |
Tear Down the Fences: Developing ABM Informed Design Strategies for Ungating Closed Residential Communities - Developing ABM informed design strategies for ungating closed residential communities |
| source |
A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 467-477 |
| doi |
https://doi.org/10.52842/conf.caadria.2021.2.467
|
| summary |
Embedded in Chinas urbanization process, the growth of gated residential estates has gradually induced severance of urban spaces, resulting in an underutilization of public amenities, a lack of walkable permeability, and congestion of traffic. Responding to these negative effects on urban development, the CPC has released a guideline in February 2016 to prohibit the development of any new closed residential areas in principle and to advocate ungated communities. In this paper, we utilized ABM simulation analysis to test different degrees of openness, the position of new entrances/openness, and pedestrian network typologies, aiming to explore feasible strategies to accommodate the new urban design agenda. A series of typical gated compounds in Beijing were selected for comparative case studies, conducted under different degrees of openness of each case and under diverse ungating modes between cases. On the basis of these analyses, we summarized a sequence of pedestrian-centric design strategies, seeking to increase the communities permeability and walkability by suggesting alternative internal and external road network design options for Beijing urban renewal. By integrating quantified simulation into the empirical method of urban design, our research can positively assist and inform urban practitioners to propose a more sustainable urbanity in the future. |
| keywords |
Gated community; agent-based modeling; pedestrian simulation; computer-aided urban design; road network optimization |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (12,680,940 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:56 |
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