Abstract:

This paper presents gray fuzzy clustering model based theory and idea to make the development area of division of urban and rural road passenger transport integration suitable for local traffic and economic characteristics. We combine grey association analysis method and clustering analysis method together through an improved bi-level programming model. We perform case study with MATLAB to verify its feasibility. Division results demonstrate that gray fuzzy clustering method can compensate the disadvantages of traditional grey association analysis method and clustering analysis method and can provide reference for policy enactment of urban and rural road passenger transport integration regional development.

Key words: regional division, passenger transport integration, bi-level programming model, gray fuzzy clustering, coefficient of variation