A Variance Maximization Based Weight Optimization Method for Railway Transportation Safety Performance Measurement Article Swipe
Dongye Sun
,
Yuanhua Jia
,
Lingqiao Qin
,
Yang Yang
,
Juyong Zhang
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.3390/su10082903
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.3390/su10082903
Based on the idea of maximizing variances, a weight optimization method is proposed in this research to improve railway transportation safety evaluation. Firstly, the main evaluation indicators that can reflect the safety of railway transportation are selected as the independent variables. Secondly, in order to avoid the influence of experts’ empowerment on the evaluation results of railway transport safety, fuzzy set theory is introduced to generate the variation range of the weights of each evaluation index, which is used as the constraint of weight optimization model. Then, the weight optimization model for railway transportation safety performance measurement is established based on the principle of maximum variance. The structure of the optimization model shows the characteristics of the quadratic programming model. Therefore, the optimal weight is calculated by using the branch bounded algorithm, which is one of the quadratic programming model solution algorithms. Finally, the empirical analysis of the safety performance measurement for 18 railway bureaus shows that using the optimized index weight for safety performance measurement can not only make full use of prior information but also ensure that 18 railway bureaus can be distinguished to the maximum extent.
Related Topics
Concepts
Maximization
Quadratic programming
Mathematical optimization
Variance (accounting)
Fuzzy logic
Constraint (computer-aided design)
Range (aeronautics)
Set (abstract data type)
Computer science
Sequential quadratic programming
Engineering
Mathematics
Artificial intelligence
Accounting
Aerospace engineering
Mechanical engineering
Business
Programming language
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/su10082903
- https://www.mdpi.com/2071-1050/10/8/2903/pdf?version=1534409321
- OA Status
- gold
- Cited By
- 12
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2887160159
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2887160159Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/su10082903Digital Object Identifier
- Title
-
A Variance Maximization Based Weight Optimization Method for Railway Transportation Safety Performance MeasurementWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-08-16Full publication date if available
- Authors
-
Dongye Sun, Yuanhua Jia, Lingqiao Qin, Yang Yang, Juyong ZhangList of authors in order
- Landing page
-
https://doi.org/10.3390/su10082903Publisher landing page
- PDF URL
-
https://www.mdpi.com/2071-1050/10/8/2903/pdf?version=1534409321Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2071-1050/10/8/2903/pdf?version=1534409321Direct OA link when available
- Concepts
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Maximization, Quadratic programming, Mathematical optimization, Variance (accounting), Fuzzy logic, Constraint (computer-aided design), Range (aeronautics), Set (abstract data type), Computer science, Sequential quadratic programming, Engineering, Mathematics, Artificial intelligence, Accounting, Aerospace engineering, Mechanical engineering, Business, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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12Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2023: 2, 2022: 2, 2021: 2, 2020: 3Per-year citation counts (last 5 years)
- References (count)
-
32Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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