A Rule-Based Generative Analysis Approach for Urban Planning

Chapter
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Abstract

Urban plans are difficult to comprehensively analyze quantitatively because they lack sufficiently detailed information. They tend to emphasize land-use, possibly suggesting general building typologies. Nevertheless, they are generally conceived with respect to objective criteria, such as population targets, plot ratios, gross floor areas, etc. This research suggests a rule-based approach to generate relevant building data that can serve to analyze and assess such urban plans with respect to these and other relevant criteria, requirements and targets. Such generation must necessarily take into account local conditions, building typologies, codes and regulations.

Keywords

Geographic Information System Data Synthesis Floor Area Design Studio Winter School 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Notes

Acknowledgments

The IFoU Winter School and the M.U.P. urban planning studio were supported financially by NUS-JTC i3 Centre and in kind by JTC Corporation. The exhibition “Rethinking Urban Practices For Jurong Vision 2050” was realized in association with “Rethinking Our City for Singapore’s Next 50 Years,” a series of nine concurrent and successive exhibitions held throughout Singapore from July until the end of 2015, organized and funded by the School of Design and Environment, National University of Singapore. We thank Ibrahim Nazim and Lin Xiong for implementing the data synthesis method and workflows.

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Copyright information

© Springer Nature Singapore Pte Ltd 2017

Authors and Affiliations

  1. 1.Department of ArchitectureNational University of SingaporeSingaporeSingapore

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