Abstract
Heiwado hits the general supermarket which performs the sale such as clothes or miscellaneous goods other than food sale, but the bringing rate calculating is data only for food sales floors. In a food cash register, I do not count the visitor who brought a shopping bag and count the visitor who declined a cash register bag and show a ratio in bringing rate.
I calculated bringing rate according to the self-governing body to examine the difference of the system according to the self-governing body and a relationship with the bringing rate. I do not average the bringing rate of a store located in the self-governing body, and the bringing rate average according to the self-governing body calculates customer traffic / the bringing number of the store by doing weighted average. As a result of having calculated bringing rate according to the self-governing body of 13 City 5-cho which a store of Heiwado did the geographical convenience of, the difference did not occur to the bringing rate, but a store interval understood that there was a difference to about 10% according to a self-governing body.
I grasped the present conditions of the "garbage collection" system of 13 City 13-cho in Shiga (a December, 2008 point in time) and examined a relationship by a correlation analysis.
The number of the classification understands that it is different greatly by 7 kinds - 21 kinds and a self-governing body. A difference occurs to the number of the classification by bottle / cans mainly. As a result of garbage collection system according to the self-governing body and correlation analysis of the bringing rate, correlation was watched between "bringing rate" and "the number of the classification of the garbage" than official approval of the correlation ratio. I understood that shopping bag bringing rates decreased so that the number of the classification of the garbage increased (meaningful 5%).
Heiwado which operated of all stores in 5. Bringing rate was low in the store which was adjacent in the factory zone, and bringing rate was able to catch a tendency to be high in the store in the point where a lot of commercial lands were distributed over. Strong correlation was watched between "bringing rate" and "industrial area ratio" "residential area ratio" "commerce / duties site ratios" than an official approval result of the correlation ratio, that bringing rates increase when bringing rates decrease when industrial area ratios increase from this, and a residential area ratio and commerce / duties site ratios increase (meaningful 1%). In addition, correlation is examined between "bringing rate" and "farmland ratios", that bringing rates decrease when farmland ratios increase (meaningful 5%). Between the other land use ratios, the meaningful correlation was not seen.
I can grasp population composition within the range of the quotient by setting the commercial domain of each Heiwado store in Shiga. I grasp the difference of the population composition within the range of each store dealer and examine a relationship with the difference of the bringing rate by a correlation analysis.
Using "the statistics GIS" which could handle subregion data, I grasped the population composition. The meaningful correlation was not seen between population composition within the range of each store dealer by the subregion statistics data in Shiga and the shopping bag bringing rate than an official approval result of the correlation ratio. Therefore I gave standard deviation of the shopping bag bringing rate of 2005 and extracted higher ten stores and ten low rank stores of the bringing rate and analyzed the mean and the comparison of statistics data.
