Research on Correlation Mechanism of Commercial Space Vitality Based on Multi-Source Data

XIAO Jiaqi; XUAN Wei; KONG Ziran; ZHAO Liwei; YAO Yuchao

doi:10.13204/j.gyjzG22082309

Volume 53 Issue 6

Jun. 2023

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XIAO Jiaqi, XUAN Wei, KONG Ziran, ZHAO Liwei, YAO Yuchao. Research on Correlation Mechanism of Commercial Space Vitality Based on Multi-Source Data[J]. INDUSTRIAL CONSTRUCTION, 2023, 53(6): 59-65. doi: 10.13204/j.gyjzG22082309

Citation:

XIAO Jiaqi, XUAN Wei, KONG Ziran, ZHAO Liwei, YAO Yuchao. Research on Correlation Mechanism of Commercial Space Vitality Based on Multi-Source Data[J]. INDUSTRIAL CONSTRUCTION, 2023, 53(6): 59-65. doi: 10.13204/j.gyjzG22082309

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Research on Correlation Mechanism of Commercial Space Vitality Based on Multi-Source Data

doi: 10.13204/j.gyjzG22082309

School of Architecture and Art, Hefei University of Technology, Hefei 230000, China

Received Date: 2022-08-23
Available Online: 2023-08-18

Abstract

Abstract

The development of a multi-source data analysis system has broadened the perspective of urban commercial space research, but discussions on the vitality of commercial space often focus on a single dimension of the built-up environment or social network impact, lacking comprehensive multi-dimensional practice. Therefore, an indicator system for measuring the factors affecting the vitality of commercial districts was constructed from the perspective of medium and micro, from multiple levels of physical environment, service formats and vitality atmosphere creation, and with the support of multi-source data, road network, POI, street view pictures and internet comment data were used to explore the impact of various factors on the vitality of commercial blocks during the interaction process, with the help of Arcgis technology platform, spatial syntax sDNA model construction, street view semantic analysis and other analysis tools. The results showed a positive correlation between 14 specific measurement indicators and spatial vitality to varying degrees, while expanding the applicability of multi-source data in meso and micro spatial research.
- multi source data,
- commercial space,
- vitality,
- place atmosphere,
- GIS

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References(22)

References

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