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<p>As an emerging type of large commercial building, commercial complexes play an increasingly important role in contemporary urban development and construction trends. In order to better study the organization of public space relations in commercial complex buildings, this paper selects eight commercial complexes as sample cases to analyze their spatial design in terms of both content public space and external public space based on big data technology. Regarding the design of the commercial complexes’ internal public space movement, the highest accessibility degree reached 95.3%, while the average was 82.5%. Regarding visibility, the highest level was 96.0%, and the average was 83.3%. For large complexes, better spatial relationships can be designed to improve the circulation degree and thus enhance customers’ consumption experience. Regarding the convenience of traffic connection to the external space of commercial complexes, an average of 41.4% of customers consider it very convenient, 23.1% consider it relatively convenient, 27.9% consider it somewhat inconvenient, and 18.0% consider it very inconvenient. Commercial complexes can effectively attract more repeat customers if they can improve the convenient design of transportation connections. The study of public relations of commercial complexes based on big data helps to discover the defects of their public space design and plays a significant role in optimizing spatial design and relationship organization and strengthening their integrated functions.</p>
</abstract>

As an emerging type of large commercial building, commercial complexes play an increasingly important role in contemporary urban development and construction trends. In order to better study the organization of public space relations in commercial complex buildings, this paper selects eight commercial complexes as sample cases to analyze their spatial design in terms of both content public space and external public space based on big data technology. Regarding the design of the commercial complexes’ internal public space movement, the highest accessibility degree reached 95.3%, while the average was 82.5%. Regarding visibility, the highest level was 96.0%, and the average was 83.3%. For large complexes, better spatial relationships can be designed to improve the circulation degree and thus enhance customers’ consumption experience. Regarding the convenience of traffic connection to the external space of commercial complexes, an average of 41.4% of customers consider it very convenient, 23.1% consider it relatively convenient, 27.9% consider it somewhat inconvenient, and 18.0% consider it very inconvenient. Commercial complexes can effectively attract more repeat customers if they can improve the convenient design of transportation connections. The study of public relations of commercial complexes based on big data helps to discover the defects of their public space design and plays a significant role in optimizing spatial design and relationship organization and strengthening their integrated functions.

Research on the organization of public space relations in commercial complex buildings in the context of big data

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

As an emerging type of large commercial building, commercial complexes play an increasingly important role in contemporary urban development and construction...

Research on the organization of public space relations in commercial complex buildings in the context of big data

Online veröffentlicht: 23. Aug. 2023

Seitenbereich: -

Eingereicht: 11. Sept. 2022

Akzeptiert: 03. März 2022

DOI: https://doi.org/10.2478/amns.2023.2.00231

Schlüsselwörter
Big data technology, Commercial complex, Spatial design, Spatial relationship, Dynamic line design

© 2023 Tingting Zheng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the organization of public space relations in commercial complex buildings in the context of big data

Online veröffentlicht: 23. Aug. 2023

Seitenbereich: -

Eingereicht: 11. Sept. 2022

Akzeptiert: 03. März 2022

DOI: https://doi.org/10.2478/amns.2023.2.00231

SchlüsselwörterBig data technology, Commercial complex, Spatial design, Spatial relationship, Dynamic line design

© 2023 Tingting Zheng et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Big data technology, Commercial complex, Spatial design, Spatial relationship, Dynamic line design