Notice of RetractionUrban core competitiveness: Evaluation and track by GPCA

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

The urban core competitiveness is the abilities of city to absorb, relocate, and transform all kinds of resources. There don´t have a generalized method for evaluating the evolution of the urban core competitiveness. The aim of this paper is to introduce a new method, generalized principal component analysis (GPCA), which is a generalization of principal component analysis (PCA), to several data tables. GPCA is suit for the monitoring and plot the track of urban core competency, because it is a method for both finding common dimensions in several sets of variables and giving a description of each set of variables: GPCA takes into account both the correlation structure within sets and relationships between sets. In this paper, an empirical study that take the Zhengzhou as an example is conducted. The research result indicate that the GPCA is a effective way to study the urban core competitiveness.