With the rise of the cognitive-cultural (or knowledge) economy, urban areas around the world have experienced significant changes in their social geographies. Studentification is one such change that has occurred in cities hosting major universities around the world. This study extends the analysis of social change to vital knowledge nodes in the networked global economy: United States college towns. K-means cluster analysis is used to identify neighborhood types in ten cities with major research universities across four Census years: 1980, 1990, 2000, and 2010. Temporal and spatial analyses are then conducted to determine how these knowledge nodes have changed with the decline of the industrial economy and the rise of the knowledge economy. The analysis indicates the presence of six neighborhood types in these college towns: Middle Class, Minority-Concentrated, Stability, Elite, Mix/Renter, and Student. Over the course of the study period, the number of Elite neighborhoods increased considerably, while the number of Middle Class neighborhoods plummeted. The number of Mix/Renter neighborhoods also increased. Spatially, Student and Minority-Concentrated neighborhoods generally remained fairly clustered in the same areas across the study period. Elite neighborhoods spread across wider geographical areas over the course of the study period. These results are compared to previous studies on neighborhood change. The comparisons reveal that the knowledge nodes show some similar patterns to studentifying cities and to rapidly growing nodes in areas with ties to the global knowledge economy.
Knowledge management in future organizations