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Comparative analysis of urban underground public space and user walking paths based on the social network model

  • S.I.: Evolutionary Computation based Methods and Applications for Data Processing
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Abstract

The operation status of the underground public space pedestrian system is of varying quality, but decision-makers and operators have no way of knowing its current operation status and how to retrofit it. In this paper, the social network model is adopted to compare and analyze the characteristic parameters of urban underground public space networks and users’ pedestrian routes in 13 cases in the main urban area of Chongqing to judge the suitability of the two networks. The results show a mismatch between the existing urban underground public spaces and users’ walking paths, with most users choosing to move within a fixed range and preferring to stop at nodes with larger areas, while there is an obvious waste of resources in the rest of the nodes. The overall connectivity and aggregation are generally low although the number of nodes in transit between the two networks matches. In addition, with different types of space compared, the cross-block urban underground public space network is more suitable for users’ pedestrian routes, followed by the square and street types, and the compound type is ranked last.

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Funding

Chongqing Graduate Research Innovation Project (CYB20036).

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Authors and Affiliations

  1. School of Architecture and Urban Planning, Chongqing University, Chongqing, China

    Xinming Jia, Bo Yan, Simai Pang, Yang Liu & Minyao Xu

  2. General Research Institute of Architecture & Planning Design Co.,Ltd, Chongqing University, Chongqing, China

    Bo Yan

  3. School of Foreign Languages and Cultures, Chongqing University, Chongqing, China

    Ling Fang

  4. School of Arts, Yunnan University, Kunming, China

    Jinyao Wang

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  1. Xinming Jia
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Contributions

XJ involved in conception or design of the work, data collection, data analysis and interpretation, drafting the article, critical revision of the article. BY took part in critical revision of the article. FL involved in critical revision of the article. JW took part in data collection. SP involved in data collection and analysis. YL took part in data collection. MX involved in data collection.

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Correspondence to Bo Yan.

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Jia, X., Yan, B., Fang, L. et al. Comparative analysis of urban underground public space and user walking paths based on the social network model. Neural Comput & Applic 35, 24981–24999 (2023). https://doi.org/10.1007/s00521-023-08589-8

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