Proceedings of the 2024 3rd International Conference on Engineering Management and Information Science (EMIS 2024)

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Non-Linear Analysis of Influencing Factors of Commercial Vitality Within the Radiation Range of Metro Stations

Authors
Mingchao Liang1, *, Mei Liu2
1Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai, China
2Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai, China
*Corresponding author. Email: 202130510208@stu.shmtu.edu.cn
Corresponding Author
Mingchao Liang
Available Online 14 July 2024.
DOI
10.2991/978-94-6463-447-1_34How to use a DOI?
Keywords
metro stations; commercial vitality; gradient boosting decision tree; non-linear; spatial distribution
Abstract

Relying on the strong radiation ability of urban rail transit, the areas near the stations have become the agglomeration area that attracts commercial facilities and consumption behaviors. In this paper, five metro stations in the main urban area of Shanghai are selected as research stations. The walking radiation range of each station is defined by utilizing the AMap API (Application Programming Interface) and the commercial vitality is quantified from the dual perspectives of physical space and pedestrian flow. Then, the influencing factor system of commercial vitality is established. Finally, a gradient boosting decision tree model based on Bayesian optimization is constructed to explore the main influencing factors of commercial vitality. The research results suggest that commercial function richness is the most important influence on commercial vitality, followed by public facilities density, and the importance of the two is more than half of the overall importance of all the factors. The presence of diverse commercial POIs types, sufficient public service facilities, and convenient metro accessibility to the station are crucial factors in ensuring commercial vitality within the vicinity of metro stations. Additionally, the study reveals non-linear relationships between the influencing factors and commercial vitality, with the presence of threshold effects for certain factors.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 3rd International Conference on Engineering Management and Information Science (EMIS 2024)
Series
Advances in Computer Science Research
Publication Date
14 July 2024
ISBN
978-94-6463-447-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-447-1_34How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Mingchao Liang
AU  - Mei Liu
PY  - 2024
DA  - 2024/07/14
TI  - Non-Linear Analysis of Influencing Factors of Commercial Vitality Within the Radiation Range of Metro Stations
BT  - Proceedings of the 2024 3rd International Conference on Engineering Management and Information Science (EMIS 2024)
PB  - Atlantis Press
SP  - 307
EP  - 317
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-447-1_34
DO  - 10.2991/978-94-6463-447-1_34
ID  - Liang2024
ER  -