Abstract
As the cornerstone for urbanization, public transportation needs to raise attraction. Hence, the key motivation of this research is about balancing the needs of customized-buses and commuters. Regarding satisfaction and fairness of matching schemes, this paper explores the characteristics of customized-bus services and combines actual needs to establish a multi-objective bilateral matching optimization model including maximum matching correlation degree, minimum correlation deviation and maximum matching logarithm. To show the indicators information, the methodologies introduces the grey correlation analysis method adopting four data types. The satisfaction level is obtained by solving the maximum matching scheme that matches the appropriate customized-bus for commuters. The proposed model meets the requirements of operators and commuters, may further improve the attraction of public transportation and its service quality, which can be the key contributions of this paper.
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