Author
Listed:
- Han Peng
(School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China)
- Yike Chen
(School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China)
- Linjian Shangguan
(School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China)
- Shengnan Zhou
(Department of Urban Construction, Beijing University of Technology, Beijing 100124, China)
- Yanchi Li
(School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China)
- Qianyu Wang
(School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China)
Abstract
Urban rail transit system planning is significant for alleviating traffic congestion and optimizing spatial resource allocation in cities with scarce land resources. However, the long period of rail transit construction, large-scale investment, and its planning involve a variety of factors, which require scientific and reasonable evaluation methods to ensure that its construction can realize the expected economic and social benefits. To solve this problem, this study first establishes an appropriate evaluation system by selecting suitable evaluation indicators. Then, the comprehensive assignment method combining the ordinal relationship method (G1 method) and the improved entropy weight method is applied to assign weights to the indicators in the evaluation system, and the correlation degree is calculated by combining with the matter-element model for evaluating the planning scheme of the urban rail transit system. Finally, the urban rail transit system planning scheme of Zhengzhou City is verified by example. The results show that the proposed method can balance the practical significance and dynamics of the evaluation indices, evaluate the importance of each index more objectively, and provide methodological support for dynamic decision-making in rail transportation planning in the context of a smart city, which is of guiding significance for the sustainable development of the city.
Suggested Citation
Han Peng & Yike Chen & Linjian Shangguan & Shengnan Zhou & Yanchi Li & Qianyu Wang, 2025.
"Evaluation of Urban Rail Transit System Planning Based on Integrated Empowerment Method and Matter-Element Model,"
Sustainability, MDPI, vol. 17(10), pages 1-22, May.
Handle:
RePEc:gam:jsusta:v:17:y:2025:i:10:p:4569-:d:1657562
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:10:p:4569-:d:1657562. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.