Research on the Current Status of Coupling Coordination between School Transportation and Physical Fitness of Middle School Students and Its Influencing Factors:Sandu Autonomous County as an Example
The coupling coordination relationship between school transportation and the physical fitness of middle school students can reveal the influence of the infrastructure of the school and its surrounding environment on the physical fitness of middle school students.Based on the actual situation of Sandu County,the objective weighting method(i.e.CRITIC method)and multi-dimensional analysis method are used to obtain the system score of physical fitness of middle school students;and coupling coordination degree model and geographical detector are used to analyze the coupling coordination degree and its influencing factors.The results show that there is a large difference in coupling coordination between school transportation and male juniors in Sandu County;Sanhe Street and Puan Town are agglomeration areas where the coupling coordination level of female juniors is imbalanced or on the verge of imbalance;the coupling coordination indices of female seniors are relatively higher when compared with male and juniors;the average teacher-student ratio of the school has a higher degree of explanation of the coupling coordination relationship,while the explanation degree of the school sport venue factor is lower.For areas with low general-school transportation scores and high coupling coordination,we should focus on the physical fitness status of students in specific dimensions in this area and strengthen their students'physical exercise inside and outside school.Based on the existing transportation and sports facilities conditions,we can further increase the recruitment of physical education teachers in regional school and social assistance for weak students,and increase the construction of sport facilities outside schools and hold more sport activities.
school transportationphysical fitness of middle school studentscoupling coordinationinfluencing factors