Abstract:[Objective] Taking Kashgar City, a typical oasis city in Xinjiang area, as the research area, where the rural transformation development in the last 20 years and the influence of land use change on it were discussed.[Methods] Two evaluation system were used to evaluate the rural transformation degree and the urban-rural accordance. TOPSIS method was used to quantify the change of rural transformation development during 1995-2015 in Kashgar City. The influencing factors of rural transformation development were elicited by Pearson correlation analysis.[Results] The degree of rural transformation on the whole was in a rising trend, but the rate is slow. The annual change rate was 0.55%. The urban-rural accordance degree in the whole scheduling was in a weak downward trend, the annual change rate was-0.06%. The rural transformation development in Kashgar City during 1995-2015 had experienced 5 stages, they were low speed-coordinated, intermediate speed-more coordinated, intermediate speed-more-uncoordinated, high speed-uncoordinated and intermediate speed-coordinated. The comprehensive index of rural transformation development level had a slight rise and a large fluctuation, the annual increasing rate was 0.31%. The influencing factors included:the proportion of agricultural population, the rural GDP per capita, the net income of farmers per capita, the first industry labor rate and the rural pollutant treatment rate.[Conclusion] The coupling degree between the proportions of agricultural population in quantity and quality and the rural transformation development degree were 0.786 and 0.559, respectively; the coupling degree between the proportion change of rural GDP per capita and rural transformation development degree was 0.877, the coupling degree between the proportion change of the conversion of cultivated land to construction land area and rural transformation development degree was 0.641. These implied that rural transformation of Kashgar City was in a positive development way and had high consistency with population transformation, economic transformation and land use transformation.