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The geography of lifestyle center growth: The emergence of a retail cluster format in the United States

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  • Rice, Murray
  • Sorenson, Matthew
  • Aversa, Joseph

Abstract

Just as geographers have given much attention to the evolution of shopping malls and power center retail complexes, it is equally important for research in business geography to continue to provide developmental evidence as new and distinctive retail cluster formats emerge and grow. The lifestyle center is a unique type of retail complex that has experienced much expansion across the United States yet has not received much research attention from location researchers. This study provides answers to basic questions, including the geography of lifestyle center development, the relationship of lifestyle center development to traditional mall activity, and the characteristics of lifestyle center market areas in comparison with the trade areas of their mall counterparts. The results show that lifestyle centers are developing in distinctive locations and markets within American cities that are not well-served by traditional malls. The study results also establish that lifestyle centers have a significant bias toward location in large cities, representing a clear contrast with traditional malls and their locational orientation toward smaller centers. The study summarizes these findings and argues that the emergence of the lifestyle center format has important implications for retailers, commercial property developers, and local economic development officials.

Suggested Citation

  • Rice, Murray & Sorenson, Matthew & Aversa, Joseph, 2022. "The geography of lifestyle center growth: The emergence of a retail cluster format in the United States," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
  • Handle: RePEc:eee:joreco:v:65:y:2022:i:c:s096969892100401x
    DOI: 10.1016/j.jretconser.2021.102835
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    References listed on IDEAS

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    1. Pedro Guimarães, 2022. "Tourism and Authenticity: Analyzing Retail Change in Lisbon City Center," Sustainability, MDPI, vol. 14(13), pages 1-21, July.
    2. Hao Lu & Jie Bao, 2022. "Spatial Differentiation Effect of Rural Logistics in Urban Agglomerations in China Based on the Fuzzy Neural Network," Sustainability, MDPI, vol. 14(15), pages 1-23, July.
    3. Aversa, Joseph & Azmy, Ali & Hernandez, Tony, 2024. "Untapping the potential of mobile location data: The opportunities and challenges for retail analytics," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).

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