Advancing Neuro-Urbanism: Integrating Environmental Sensing and Human-Centered Design for Healthier Cities

Document Type : Original Article

Authors

1 Ph.D. Student in Architecture at Texas A&M University,

2 Department of Architecture, School of Arts and Architecture, Shiraz University

3 Head of TECH-LAB, Shiraz University, Shiraz, Iran.

Abstract

Rapid urbanization has created complex challenges affecting the well-being of city inhabitants. This study reevaluates historical urban design paradigms within the context of today's rapid urban growth, emphasizing the need for vibrant and sustainable environments. It explores innovative urban design and planning strategies, particularly regenerative approaches. Over the past two decades, urban design discourse has increasingly prioritized mental well-being and enriching user experiences. This shift has led to the emergence of Neuro Urbanism, an interdisciplinary field combining urban design, neuroscience, and psychology.
Using a rigorous methodological framework, this study integrates human experience sensing, remote sensing, and environmental atmospheric sensing to analyze urban areas. The goal is to facilitate the reconstruction and reorganization of these spaces. Central to this framework are machine learning algorithms that discern emotional dimensions in user experiences, data-loggers that capture climatic data, and voxel-based assessment techniques that quantify physical and architectural attributes.
Empirical findings highlight significant correlations between climatic variables and user experiences across various urban contexts. This study sheds light on the intricate relationships between environmental factors and human well-being. It contributes valuable insights into fostering inclusive, resilient, and psychologically enriching urban landscapes. The research aims to inform evidence-based urban design interventions to create sustainable.

Keywords

References

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Contributions of Science and Technology for Engineering
Volume 2, Issue 1
March 2025
Pages 37-50

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History

  • Receive Date: 05 March 2025
  • Revise Date: 08 April 2025
  • Accept Date: 18 April 2025
  • First Publish Date: 18 April 2025
  • Publish Date: 01 March 2025

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