University of Isfahan Urban Economics 2588-4867 3 1 2018 08 23 Determining Optimal Tenant Mix in Shopping Centers regarding Inter-Store Externalites (Case Study: Isfahan City Center) Determining Optimal Tenant Mix in Shopping Centers regarding Inter-Store Externalites (Case Study: Isfahan City Center) 75 96 23623 10.22108/ue.2018.112250.1075 FA Naser Yarmohamadian Assistant Professor, Department of Economics and Entrepreneurship, Faculty of Research Excellence in Art and Entrepreneurship, Art University of Isfahan, Isfahan, Iran Rozita Moayedfar Assistant Professor, Department of Economics, Faculty of Administrative Sciences & Economics, University of Isfahan, Isfahan, Iran Fatemeh Sharifi Renani M.A Degree in Urban Economics, Department of Urban Economics, Faculty of Economics & Art Entrepreneurship, Art University of Isfahan, Isfahan, Iran Reza Nasr Esfahani Assistant Professor, Department of Economics and Entrepreneurship, Faculty of Research Excellence in Art and Entrepreneurship, Art University of Isfahan, Isfahan, Iran Journal Article 2018 07 25 Developing shopping centers in cities have made developer pay precisely attention to what is called optimal tenant mix. Proximities of similar and divers stores make shopping centers attractive and decrease costs for costumers. The benefits derived from these proximities is inter-store externalities. The purpose of this paper is determining optimal tenant mix for Isfahan City Center in period between December 2017 to March 2018. <br /> A pure-integer linear programming model in which total benefits of developer including the inter-store externalities is maximized has been used. Seven types of retails include jewelry, cosmetics, fashion, home appliances, furniture and interior decoration, food & beverage and café in tree size classes and tree location classes are considered. Comparing the optimum results with the real ones, show that the most compatible retails with the optimum mixture are jewelry, home appliances and furniture and interior decoration. In general the results show a more concentrative optimal solution than what is real mixture of retails. One of the reasons behind this outcome is because the inter-store externalities from diversity is not considered in the model. Developing shopping centers in cities have made developer pay precisely attention to what is called optimal tenant mix. Proximities of similar and divers stores make shopping centers attractive and decrease costs for costumers. The benefits derived from these proximities is inter-store externalities. The purpose of this paper is determining optimal tenant mix for Isfahan City Center in period between December 2017 to March 2018. <br /> A pure-integer linear programming model in which total benefits of developer including the inter-store externalities is maximized has been used. Seven types of retails include jewelry, cosmetics, fashion, home appliances, furniture and interior decoration, food & beverage and café in tree size classes and tree location classes are considered. Comparing the optimum results with the real ones, show that the most compatible retails with the optimum mixture are jewelry, home appliances and furniture and interior decoration. In general the results show a more concentrative optimal solution than what is real mixture of retails. One of the reasons behind this outcome is because the inter-store externalities from diversity is not considered in the model. https://ue.ui.ac.ir/article_23623_05ecb43410629ddb225c0401caffabd3.pdf