The Phoenix area is often considered the mecca of suburban residential sprawl and for as long as the city has been growing, retail development has followed. Despite occurring alongside residential sprawl, retail development does not have the same characteristics as residential suburban sprawl and has more closely followed national retail trends. Regardless, there are still some differences, therefore the research question that will be asked here is how have the characteristics of retail development in Greater Phoenix followed the national trends of retail developments that were established in each decade since the 1950s? Characteristics were gathered from a literature review and 29 sample retail developments from various types of retail formats popularized in the various decades including commercial strips, regional shopping centers, big box centers, factory outlet malls, power centers, power parks, and lifestyle centers were surveyed. Overall, it was found that many retail developments in Phoenix are larger than the national standard. Additionally, retail formats like power parks, power towns, and big box centers included more small and medium sized inline or strip storefronts than the national standard. But, in general, many characteristics other than those already mentioned did not vary much from the national norms. In the end, retail development will continue to be important as the Phoenix area continues to grow into one of the biggest metros in the country.

The Phoenix, Arizona metropolitan area has sustained one of the United States' fastest growth rates for nearly a century. Supported by a mild climate and cheap, available land, the magnitude of regional land development contrasts with heady concerns over energy use, environmental sensitivity, and land fragmentation. This dissertation uses four empirical research studies to investigate the historic, geographic microfoundations of the region's oft-maligned urban morphology and the drivers of land development behind it. First, urban land use patterns are linked to historical development processes by adapting a variety of spatial measures commonly used in land cover studies. The timing of development - particularly the global financial crisis of the late 2000s, and the impact of varying market forces is examined using econometric analyses of land development drivers. This pluralistic approach emphasizes the importance of local geographic knowledge and history to empirical study of urban social science while stressing the importance of temporal effects. Evidence is found that while recent asset market changes impact local land development outcomes, preferences for place may be changing too. Even still, present-day neighborhoods are heavily conditioned by the market and institutional conditions of the historical period during which they developed, while the hegemony of low-cost housing on the urban fringe remains.

The objective of this dissertation is to empirically analyze the results of the retail location decision making process and how chain networks evolve given their value platform. It employs one of the largest cross-sectional databases of retailers ever assembled, including 50 US retail chains and over 70,000 store locations. Three closely related articles, which develop new theory explaining location deployment and behaviors of retailers, are presented. The first article, "Regionalism in US Retailing," presents a comprehensive spatial analysis of the domestic patterns of retailers. Geographic Information Systems (GIS) and statistics examine the degree to which the chains are deployed regionally versus nationally. Regional bias is found to be associated with store counts, small market deployment, and the location of the founding store, but not the age of the chain. Chains that started in smaller markets deploy more stores in other small markets and vice versa for chains that started in larger markets. The second article, "The Location Types of US Retailers," is an inductive analysis of the types of locations chosen by the retailers. Retail locations are classified into types using cluster analysis on situational and trade area data at the geographical scale of the individual stores. A total of twelve distinct location types were identified. A second cluster analysis groups together the chains with the most similar location profiles. Retailers within the same retail business often chose similar types of locations and were placed in the same clusters. Retailers generally restrict their deployment to one of three overall strategies including metropolitan, large retail areas, or market size variety. The third article, "Modeling Retail Chain Expansion and Maturity through Wave Analysis: Theory and Application to Walmart and Target," presents a theory of retail chain expansion and maturity whereby retailers expand in waves with alternating periods of faster and slower growth. Walmart diffused gradually from Arkansas and Target grew from the coasts inward. They were similar, however, in that after expanding into an area they reached a point of saturation and opened fewer stores, then moved on to other areas, only to revisit the earlier areas for new stores.

Regional differences of inventive activity and economic growth are important in economic geography. These differences are generally explained by the theory of localized knowledge spillovers, which argues that geographical proximity among economic actors fosters invention and innovation. However, knowledge production involves an increasing number of actors connecting to non-local partners. The space of knowledge flows is not tightly bounded in a given territory, but functions as a network-based system where knowledge flows circulate around alignments of actors in different and distant places. The purpose of this dissertation is to understand the dynamics of network aspects of knowledge flows in American biotechnology. The first research task assesses both spatial and network-based dependencies of biotechnology co-invention across 150 large U.S. metropolitan areas over four decades (1979, 1989, 1999, and 2009). An integrated methodology including both spatial and social network analyses are explicitly applied and compared. Results show that the network-based proximity better defines the U.S. biotechnology co-invention urban system in recent years. Co-patenting relationships of major biotechnology centers has demonstrated national and regional association since the 1990s. Associations retain features of spatial proximity especially in some Midwestern and Northeastern cities, but these are no longer the strongest features affecting co-inventive links. The second research task examines how biotechnology knowledge flows circulate over space by focusing on the structural properties of intermetropolitan co-invention networks. All analyses in this task are conducted using social network analysis. Evidence shows that the architecture of the U.S. co-invention networks reveals a trend toward more organized structures and less fragmentation over the four years of analysis. Metropolitan areas are increasingly interconnected into a large web of networked environment. Knowledge flows are less likely to be controlled by a small number of intermediaries. San Francisco, New York, Boston, and San Diego monopolize the central positions of the intermetropolitan co-invention network as major American biotechnology concentrations. The overall network-based system comes close to a relational core/periphery structure where core metropolitan areas are strongly connected to one another and to some peripheral areas. Peripheral metropolitan areas are loosely connected or even disconnected with each other. This dissertation provides empirical evidence to support the argument that technological collaboration reveals a network-based system associated with different or even distant geographical places, which is somewhat different from the conventional theory of localized knowledge spillovers that once dominated understanding of the role of geography in technological advance.