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

Authors :
Jia, Xinming
Yan, Bo
Fang, Ling
Wang, Jinyao
Pang, Simai
Liu, Yang
Xu, Minyao
Source :
Neural Computing & Applications. Dec2023, Vol. 35 Issue 36, p24981-24999. 19p.
Publication Year :
2023

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09410643
Volume :
35
Issue :
36
Database :
Academic Search Index
Journal :
Neural Computing & Applications
Publication Type :
Academic Journal
Accession number :
173923385
Full Text :
https://doi.org/10.1007/s00521-023-08589-8