Y. G. Wang*1, C. B. Zhang2, Y. Cao3, B. H. Liu4
1,2 School of Highway, Chang'an University, Xi'an 710064, China. *sdqdwyg@163.com.
3 Traffic & Transportation School, Dalian Jiaotong University, Dalian 116028, China.
4 Transportation institute, Shijiazhuang Tiedao University, Shijiazhuang 050043, China.
ABSTRACT
Considering the importance of maintaining effective performance at desired levels, the Transportation Adaptability Performance Index, as a weighted multi-criteria combination approach, is proposed to continuously identifying the performance of degradable transportation networks and making effective supplement, contrapuntal revision and in-time adjustment of the program implementation process, in response to new requirements of the urban system. For the design of strategic and quantitative methodology, 50 variables belonging to 8 domains in 2 components are chosen as the original input inherently reflecting the various interests of involved stakeholders. Specifically, the paired comparison matrix of the domain is constructed by the analytic hierarchy process to weight the importance of each single variable. If the consistency of the matrix is acceptable, the domain weight in two components is determined directly through the singular value decomposition approach and while the consistency level is unacceptable, the significant element in the matrix is identified and revised until the consistency satisfies the constraint. The methodology is then applied to evaluate the performance of transportation networks in Beijing metropolitan region using the derived 2000~2010 data and the findings indicate that the hidden and potential problems could be quantitatively identified by this approach that can be used as a user-friendly tool for metropolitan planning organizations in assessing the effectiveness and efficiency of in-service infrastructures, updating plans, setting priorities and optimizing resource allocation for next step.
]]> Keywords: transportation planning, adaptability performance index, paired comparison matrix, acceptable consistency, singular value decomposition, significant element.
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Acknowledgements
This research was supported by the Special Fund for the Basic Scientific Research of Central Colleges, Chang'an University (No. CHD2012JC023). Sections 3.2, 3.3 and 4.2 are part of the Ph.D thesis of Y.G. Wang, separately, and many thanks are given to the supervisor, Prof. Y.L. Pei, in Harbin Institute of Technology, China. We also acknowledge the editors and anonymous reviewers for their detailed suggestions, precise comments and continuous help which lead to the belief that their dedication contributes to this research work and it would not have been feasible without their support.
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