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
Summary
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
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