Modeling the local geography of country music concerts in U.S. urban areas: insights from big data analysis of live music events

Abstract

AbstractMusic cities leverage live music as a tool for urban revitalization. Identifying influential industries in U.S. urban areas that have shaped the country music landscape can provide valuable insights into the role of the music industry in urban development. The ‘big data’ of country music concerts obtained from Spotify were examined to discern the relative importance of food and transportation services in explaining the spatial distribution of country music concerts from 2009 to 2019. Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) analyses show that both food and transportation services have a positive relationship with country music concerts. The analysis also reveals that the majority of country music concerts occurred in urbanized areas. Although country music has successfully spread throughout the entire country, there are distinctive regional clusters in large cities such as Nashville, Dallas, New York City, and Austin. The result also indicates the strength of GWR in improving and sustaining the explanatory power of models. The GWR was implemented to execute four models separately considering different explanatory variables and a comparative analysis of the model performance then suggested that food service appears to perform best, whilst bus service performs better than train service and air service. These findings highlight the roles of food and transportation service facilities that have made country music — a form of Southern culture visible in the urban landscape. This study encourages music cities to harness the potential of big data's power to foster vibrant industrial ecosystems in urban environments.