外食業體의 立地要因과 賣出에 관한 實證硏究

Factors Determining Family Restaurant Sales

  Nowadays the scale of food-service industry is getting bigger and bigger. Especially, what we called, family restaurants inhale more customers than in 1980"s. The needs for more profitable location is increasing. Real estate location is important factor for Restaurant business. But the Restaurant location is not so widely studied like retail business.   This study focuses on the locational factors related to the restaurant sales. It starts with the definition of trade area and then followed the classification of restaurant locational factors.   It is true that customer behavioral approach is more common on restaurant locational studies in Korea. But this study highlightes locational approach of supply side. By using a family restaurant"s actual location data, researcher makes a sales forecasting model - multi regression model. Generally , regression model has two major variables ; independent variable and dependent variable. Restaurant"s average monthly sales is put as a dependent variable. And independent variables are household in Gu area, area dummy, foot traffics from subway or train station, distance to station, number of competitors, road type, building type, number of seats, parking lot and household of a unit"s trade area.   Also, two more regression models are added by classifying "A" family restaurants into two types. One is urban style, the other is family style.   Each types of family restaurant has its own regression model. Urban style"s significant variables are foot traffics , distance to station or subway and number of seats. And that of family style are number of seat and parking lot. This study doesn"t emphasize on analyzing regression model but making sales forecasting model.   Eventually , it is meaningful that this study suggestes more advanced family restaurant sale forecasting model.