Analysis of interlinked descriptions of entities - objects, events, situations or abstract concepts – while also encoding the semantics
Id | 201 | |
Author | Stern, M., J.; Seifert, S., C. | |
Title | Cultural Clusters: The Implications of Cultural Assets Agglomeration for Neighborhood Revitalization | |
Reference | Stern, M.J., Seifert, S.C. (2010). Cultural Clusters: The Implications of Cultural Assets Agglomeration for Neighborhood Revitalization. Journal of Planning Education and Research, 29(3), 262‑279. |
|
Keywords | Cultural cluster; Cultural district: Arts agglomeration; Urban economic development; Cultural asset; Arts and culture; Creative economy; Community development; Neighborhood revitalization |
|
Link to article | https://doi.org/10.1177%2F0739456X09358555 |
|
Abstract | Cultural districts have attracted increased attention as an urban economic development strategy. Yet for the most part, cities have focused on the agglomeration of cultural assets to increase tourism or lure wary suburbanites downtown. This article examines an alternative use of the arts for community development: cultivating neighborhood cultural clusters with modest concentrations of cultural providers (both nonprofit and commercial), resident artists, and cultural participants. The article presents innovative methods for integrating data on these indicators into a geographic information system to produce a Cultural Asset Index that can be used to identify census block groups with the highest density of these assets. The article then demonstrates the association between the concentration of cultural assets in Philadelphia in 1997 with improved housing market conditions between 2001 and 2006. The article concludes by exploring the implications of a neighborhood-based creative economy for urban policy, planning, and research. |
|
Metodology | The article presents innovative methods for integrating data on these indicators into a geographic information system to produce a Cultural Asset Index that can be used to identify census block groups with the highest density of these assets. |
Technique |