Optimization of Indoor Space Design Under Functional Orientation: A Study on Functional Zoning and Usage Efficiency of Office Spaces Based on User Behavior Data
Main Article Content
Abstract
Efficient spatial organization is important for engineering offices that support collaborative design, material testing, and digital simulation, including work related to antenna structures, electromagnetic materials, and propagation analysis. Conventional office layouts often fail to match actual user behavior, resulting in idle space, congested movement paths, and low functional efficiency. This study examines the optimization of office space design under functional orientation using user behavior data. Three types of office spaces, including fixed, semi-flexible, and fully flexible layouts, are selected as cases. A data system covering behavior collection, preprocessing, and analysis is established. A coupling coordination degree model is used to identify mismatches between functional zoning and user needs, while multiple linear regression is applied to evaluate the relationship between behavior patterns and space efficiency. The results show that traditional office spaces suffer from high idle rates, severe movement congestion, and insufficient functional matching. Based on these findings, optimization strategies are proposed, including behavior-frequency-based zoning, movement-line adjustment, multi-scenario flexible layout, and facility coordination. After optimization, the comprehensive efficiency of office spaces increases by 30%, and the utilization rate exceeds 80%. The study provides a quantitative reference for designing engineering workspaces that support collaborative research and technical development.
Downloads
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
References
P. Zhu, “Research on Modular Design of Office Spaces in the Digital Era [dissertation],” Zhengzhou, China: Henan University of Technology; 2024, doi: 10.27791/d.cnki.ghegy.2024.000973.
Y. Zhang, “Research on Co-working Space Design in the Post-Pandemic Era [dissertation],” Lanzhou, China: Lanzhou University of Technology; 2024, doi: 10.27206/d.cnki.ggsgu.2024.000518.
Z. X. Chen, “Research on Multi-Dimensional Comprehensive Utilization Design of Office Spaces Under the Background of High Vacancy Rate [dissertation],” Beijing, China: Beijing Jiaotong University; 2024, [Online]. Available: https://kns-cnki-net-443.wvpn.sjlib.cn/kns8s/DefaultResult/Index.
C. F. Zheng, “Construction of User Portrait Based on Big Data Analysis and User Electricity Consumption Behavior Patterns,” Office Informatization, vol. 30, no. 21, pp. 80-82, 2025.
Xu Hua, “Research on Spatial Design of Huayi Comprehensive Building,” Urbanism and Architecture Space, vol. 31, no. 06, pp. 102-104, 2024.
Xu Anding, “Discussion on the Concept and Key Points of Modern Office Building Design,” Housing and Real Estate, vol. (27), pp. 85, 2017.
P. Liu, “Three-Star Project of Green Building Evaluation Design Label – Case Study of the Administrative Office Building of Southern University of Science and Technology,” Construction Science and Technology, vol. (12), pp. 50-53, 2013, doi: 10.16116/j.cnki.jskj.2013.12.024.
Guo Jing and Li Yuan, “Research on Spatial Perception in Virtual Historical Streets Based on Eye-Tracking and Physiological Sensing Data,” Landscape Architecture Frontiers, vol. 13, no. 02, pp. 40-55, 2025.
N. Gao, M. Marschall, J. Burry, S. Watkins, and F. D. Salim, “Understanding occupants’ behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables,” Scientific Data, vol. 9, no. 1, pp. 261-261, 2022, doi: 10.1038/S41597-022-01347-W.
J. Wang, “Transforming Interior Design Through Internet Thinking: A Study on User-Centric, Data-Driven, and Cross-Disciplinary Collaborative Models,” International Journal of e-Collaboration (IJeC), vol. 21, no. 1, pp. 1-17, 2025, doi: 10.4018/IJEC.372056.
X. Song and D. Dincer, “Spatial Constraints and User Adaptation: A Mixed-Methods Study of High-Density Students Dormitories,” Buildings, vol. 15, no. 23, pp. 4330, 2025, doi: 10.3390/buildings15234330.
T. Yang and H. L. Qiao, “Research on Interior Decoration Design of Commercial Spaces from the Perspective of Environmental Behaviorology – A Case Study of Xinglong Grand Outlets in Hunnan, Shenyang,” Design, vol. 35, no. 02, pp. 143-145, 2022, [Online]. Available: https://kns-cnki-net-443.wvpn.sjlib.cn/kns8s/DefaultResult/Index.
Y. B. Zhao, “Research on Environmental Behavior of Office Spaces,” Engineering Construction & Design, vol. (12), pp. 42-44, 2005, doi: 10.3969/j.issn.1007-9467.2005.12.012.
P. Chen, “Analysis of Human Behavioral Psychology in the Internal Public Space Environment of High-Rise Office Buildings,” Science and Technology Information, vol. (35), Art. no. 553+511, 2010, doi: 10.3969/j.issn.1001-9960.2010.35.0780.
K. Masaki, H. Takumi, and T. Yugo, “In: Tentori M, Weibel N, Laerhoven K, Zhou ZY, editor,” Moving state estimation by CNN from long time data of smartphone sensors: Sussex-Huawei locomotion challenge 2023. Proceedings of the Adjunct proceedings of the 2023 ACM international joint conference on pervasive and ubiquitous computing & the 2023 ACM international symposium on wearable computing; 8-12 October 2023; Cancun, Mexico. New York, NY, USA: Association for Computing Machinery; 2023. p. 523-527, doi: 10.1145/3594739.3610749.
H. Rada, A. Dittmar, G. Delhomme, C. Collet, R. Roure, E. Vernet-Maury, et al., “Bioelectric and microcirculation cutaneous sensors for the study of vigilance and emotional response during tasks and tests,” Biosensors & Bioelectronics, vol. 10, no. 1-2, pp. 7-15, 1995, doi: 10.1016/0956-5663(95)96790-6.
H. M. Dong and X. Huang, “How to Meet the Diverse Needs of the Public – Based on a Survey Analysis of 5506 Samples,” State Governance, vol. (30), pp. 3-15, 2015, doi: 10.16619/j.cnki.cn10-1264/d.2015.30.001.