Architectural Intelligence - Call of Papers: Computational Urban Design
Manuscript Submission Deadline extends to: December 01, 2023
Call for Papers: Computational Urban Design (this opens in a new tab)
General Information
We are witnessing a paradigm shift in urban design. Throughout the history of architecture and urban design, most existing design theories and practices have been generated through subjective intuition and practical experience. Recently, the so-called big data phenomenon and new urban science are opening up possibilities that were unthinkable just a few years ago, which trigger a new research territory of ‘computational urban design’. Herein, computational urban design can be regarded as an endeavor of integrating newly emerged big data, analytical techniques and computational algorithms with classical urban design workflows. In this context, three main directions are emerging: data-informed urban design, evidence-based urban design and algorithm-driven urban design. While there is an increasing literature in this field, a solid research direction of ‘computational urban design’ is still not well established. We need a clear conceptual framework and sophisticated empirical studies to illustrate the emerging research potential of the new data environment and new analytical methods. Not only do we require a thorough and scientific understanding in urban design, but this knowledge must also serve as a foundation for the exploration of alternative futures of design science. In this special issue, we seek to build up a systematic discussion of the potential of new technologies and data approaches in this field. By covering the methodological innovations in these three emerging research directions above, we hope to develop the paradigm shift of urban design and generate new prescriptive knowledge in this classical research field.
Manuscripts are solicited with the topics of interest including, but are not limited to:
- Data-informed urban design:
- Integrating quantitative urban morphology and new urban data to measure the ‘unmeasurable’ urban form and its performance in social, economic and ecological dimensions, and then explore new urban design theories and methodological improvements.
- Evidence-based urban design:
- Applying VR/ AR techniques and wearable biosensors, e.g., eye-tracker, EEG, ECG, EMG to build immersive environments for collecting people’s perception, improving urban design proposals, seeking human-centered understandings, and achieving fine-scale built environment audit.
- Algorithm-driven urban design:
- Integrating deep learning and machine learning algorithms with classical urban design processes to achieve intelligent urban design.
- Intelligent design optimization:
- Exploring an intelligent design analytics for achieving an optimization of multi-tasks, e.g., low-carbon emission, spatial quality and urban vitality.
Important Dates
Manuscript Submission Open Date: March 01, 2023
Manuscript Submission Deadline: December 01, 2023
Guest Editors
Dr. Yu Ye
Associate Professor, College of Architecture and Urban Planning, Tongji University, Shanghai, China.
Email: yye@tongji.edu.cn (this opens in a new tab)
Dr. Peng Du
Assistant Professor, Director of Urban Design Program, College of Architecture and the Built Environment, Thomas Jefferson University, Philadelphia, USA.
Email: peng.du@jefferson.edu (this opens in a new tab)
Dr. Mohammed Makki
Senior Lecturer, School of Architecture, University of Technology Sydney, Sydney, Australia.