Proceedings of the 2025 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025)

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Research on the Distribution and Optimization Strategies of Urban Vitality Based on Ridge Regression and Random Forest: A Case Study of Yinchuan City

Authors
Guixiao Lyu1, Guifen Lyu2, *
1Faculty of Civil Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
2Ningxia College of Construction, Yinchuan, China
*Corresponding author.
Corresponding Author
Guifen Lyu
Available Online 20 February 2026.
DOI
10.2991/978-94-6463-992-6_15How to use a DOI?
Keywords
Urban Vitality; Ridge Regression; Random Forest; Morning Peak Hours
Abstract

Urban vitality, an important aspect of urban life, exhibits a unique pattern during the morning peak hours. This paper takes Yinchuan City as the research object and selects the period from 7:00 to 9:00 in the morning as the peak - hour period. By applying the ridge regression model, it analyzes various factors influencing urban vitality during the morning peak hours, including independent variables such as points of interest (POI), GDP, population, night - time lighting, and traffic convenience. Meanwhile, spatial autocorrelation analysis is used to explore the spatial correlation of urban vitality during the morning peak hours. In addition, this study also evaluates the importance of factors influencing urban vitality during the morning peak hours through the random forest model. The research results show that there is a significant spatial clustering trend in the urban vitality of Yinchuan City during the morning peak hours, especially in the urban core area. This research achievement provides important references and decision - making support for urban planning and development.

Copyright
© 2026 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 2025 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
20 February 2026
ISBN
978-94-6463-992-6
ISSN
2352-5428
DOI
10.2991/978-94-6463-992-6_15How to use a DOI?
Copyright
© 2026 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  - Guixiao Lyu
AU  - Guifen Lyu
PY  - 2026
DA  - 2026/02/20
TI  - Research on the Distribution and Optimization Strategies of Urban Vitality Based on Ridge Regression and Random Forest: A Case Study of Yinchuan City
BT  - Proceedings of the 2025 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025)
PB  - Atlantis Press
SP  - 139
EP  - 146
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-992-6_15
DO  - 10.2991/978-94-6463-992-6_15
ID  - Lyu2026
ER  -