Abstract
With the rapid increasing of automobiles in China, there are the pressing needs of highefficient vehicle rescue system. However, lagging development of the latter brings heavy economic losses in China currently. In order to improve the roadside assistance system, this paper carries out a survey of both car owner’s and service providers’ opinions toward the Chinese current vehicle rescue service. According to deciding factors the extensive road exploration has been conducted to select elementary service providers with starting scores. Applying algebraic algorithm and information technology, this paper finally builds a commerce-based model, comparing with membership-based model in abroad, to calculate the Service Providers’ Value (abbreviated as SV) to choose the optimal service provider. The result of this study would help working companies to conduct a more efficient and cost-efficient automobile rescue service.
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