Integrating Spatial Analytics for Human-Centric Architectural Design Optimization

DOI

10.2991/978-94-6239-750-7_62How to use a DOI?

Keywords

Spatial Analytics; Human-Centric Design; Architectural Optimization; Crowd Simulation; Space Syntax; Building Information Modeling

Abstract

Effective architectural design requires a balance between spatial efficiency and human-centric usability. This study presents an interactive spatial analysis framework that combines static and dynamic modeling techniques to enhance design decision-making. By leveraging real-time spatial feedback and behavioral simulations, the system enables architects to optimize accessibility, circulation, and crowd dynamics within built environments. Experimental validation demonstrates the framework’s ability to refine spatial layouts, improving functional adaptability and user experience in architectural planning. These findings highlight the potential of computational spatial analytics in shaping future human-aware urban infrastructure.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Arjun Anand
PY  - 2026
DA  - 2026/08/31
TI  - Integrating Spatial Analytics for Human-Centric Architectural Design Optimization
BT  - Proceedings of the International Conference on Advanced Design, Manufacturing, and Sustainable Energy Systems (ICADMSES 2026)
PB  - Atlantis Press
SP  - 868
EP  - 875
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6239-750-7_62
DO  - 10.2991/978-94-6239-750-7_62
ID  - Anand2026
ER  -