Abstract

Most existing project assessment relies on expert scoring, whose precision can be deteriorated by personal subjectivity. This paper presents an assessment method to compare the advantages and disadvantages of three cohesion patterns between suburban and urban rail transit network, which reduces the influence of subjective score. A modified rough set – grey correlation model is developed as a core of this assessment, based on the integration of rough set theory and grey correlational analysis, where an index system is set up for model calculation. A case study using the network in Ningbo is applied to demonstrate the effectiveness of the method, the results show that the method is more effective using discretely distributed data sensitive to sample size. The consistency of the results in comparison with marginal cost analysis can be a preliminary verification of the model.

Highlights

  • Scheme comparison is commonly used in rail transit planning; and the results are always sensitive to the assessment method

  • This paper presents an assessment method to compare the advantages and disadvantages of three cohesion patterns between suburban and urban rail transit network, which eliminates the dependency on expert scoring and output more comprehensive information, such as ranking and significance of selected attributes

  • A modified rough set – grey correlation model is developed as a core of this assessment

Read more

Summary

Information

Scheme comparison is commonly used in rail transit planning; and the results are always sensitive to the assessment method. Most of the assessment are based on expert scoring, in which the subjectivity can always be the problem that will cause uncertainty and inaccuracy of the results. It is necessary to develop a data mining method to reduce the error in subjective judgement. In the rail transit network planning, many cities has been faced with difficulty in selecting cohesion pattern connecting urban and suburban network, which can be categorized as (i) core-through; (ii) periphery-access; and (iii) core-terminate patterns. Deeper extension of suburban line results in better accessibility; simultaneously increase the cost of project. To facilitate the rail transit builder to maximize the benefit, this paper developed an assessment method with a combined rough set-grey correlation model

Literature review
Index system
The total transfer time
Construction cost of cohesion program
Construction cost of core-outside line
Operation cost of suburb rail transit
Assumption
Weight definition based-on rough set
Ranking based on grey correlation
Solving Flow Chart
Original data
Weight calculation
Correlation
Comparison with marginal cost analysis
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.