Access for Performance of Transportation Planning and Operations: Case Study in Beijing Metropolitan Region

Main Article Content

Y. G. Wang
C. B. Zhang
Y. Cao
B. H. Liu

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 intime

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.

Article Details

How to Cite
Wang, Y. G., Zhang, C. B., Cao, Y., & Liu, B. H. (2012). Access for Performance of Transportation Planning and Operations: Case Study in Beijing Metropolitan Region. Journal of Applied Research and Technology, 10(4). https://doi.org/10.22201/icat.16656423.2012.10.4.367
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