A Spatial Analysis Of Regional Shopping Centers Based Upon Sales Growth Rates

Research Paper (postgraduate) from the year 2015 in the subject Business economics - Operations Research, grade: 2.5, , course: PhD, language: English, abstract: The purpose of this research is to bridge the gap between retail research results on customer movement in shopping centers and importance of space syntax analysis in predicting indoor navigation pattern for better understanding of store space allocation, store location and tenanting decision making in shopping malls. A bid-rent model is specified and solved under the condition of profit maximization of individual stores to examine the impact of customer density in predicting store space allocation and rental decision making. To predict the importance of visibility in customer density distribution, data were collected through recording navigational preferences of individuals in computer generated situations of shopping mall junctions using a convenience sampling method. The visibility characteristics were studied using visibility graph analysis by syntax 2D software tools. The model is extended under condition of revenue maximization of the entire mall in rationalizing tenanting decision making. Tenanting, rent and store space allocation decisions depend on the customer density distribution throughout the shopping mall. Natural movement and consequent natural customer density depend on the visual integration of a location along with metric distance from the access point. Revenue maximization of the shopping mall depends on the strategic positioning of different store types. The positioning of different stores in turn depends on the spatial configuration, which dictates natural customer density distribution. This paper, being the first of its kind, integrates retail research wisdom and syntactic measures to illustrate the efficacy of space design as a strategic decision making tool, instead of just an accommodator of functions.

Retail real estate properties and their marketplaces are in a constant state of change. The emergence of such new and growing value formats as warehouse clubs, factory outlet malls, and other powerful discount formats provide traditional shopping centers and malls with increasingly competitive challenges. These value and discount retail formats generate higher sales per square foot and have lower construction costs than many traditional retail properties. Combined with the slow growth in retail sales and the increasing alternatives to in-store retailing, a question mark hangs over the future of retail marketplaces and the retail formats that will be the leaders of the future. Megatrends in Retail Real Estate allows the reader to analyze and forecast changes in the retail marketplace. The book presents a simple model to analyze and predict mall and shopping center investment returns. It then examines the financing of retail properties and securitization of their mortgages, as well as the operations of retail properties. Finally, the book analyzes new retail marketplaces and the international retail arena.

In recent years, spatial analysis has become an increasingly active field, as evidenced by the establishment of educational and research programs at many universities. Its popularity is due mainly to new technologies and the development of spatial data infrastructures. This book illustrates some recent developments in spatial analysis, behavioural modelling, and computational intelligence. World renown spatial analysts explain and demonstrate their new and insightful models and methods. The applications are in areas of societal interest such as the spread of infectious diseases, migration behaviour, and retail and agricultural location strategies. In addition, there is emphasis on the uses of new technologoies for the analysis of spatial data through the application of neural network concepts.

This study is an attempt to model the economic trade-off between spatial and non-spatial determinants of shopping center rents while assessing the role of neighborhood and location attributes in the rent setting process. For that purpose, two space-related indices, namely the Economic Potential Index (EPI) and the Center Attraction Index (CAI), are designed based on a major origin-destination phone survey and on financial data obtained for eight major shopping centers in Quebec City, Canada. The database, which is processed through a regional GIS, includes 1,007 retail units, representing some 4.4 million square feet of gross leasable area. While findings confirm that the EPI act as a significant determinant of shopping center rents, they also bring out the complexity of the relationships between endogenous and exogenous rent determinants.

Only applications-driven book dealing with commerically-sponsored spatial analysis research. Focuses on business and public sector planning case studies, offering readers a snapshot of the use of spatial analysis across a broad range of areas. Internationally-renowned editors and contributors present a broad variety of global applications, and demonstrate GIS components and spatial methodologies in practice.