Discovering Geographical Patterns of Retailers’ Locations for Successful Retail in City Centers

Philipp zur Heiden () and Daniel Winter ()
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Philipp zur Heiden: Paderborn University
Daniel Winter: Paderborn University

A chapter in Innovation Through Information Systems, 2021, pp 99-104 from Springer

Abstract: Abstract City centers and resident retail businesses have to react to the continuous growth of online retail. However, some city centers are far more successful concerning the total turnover in relation to its inhabitants. Using machine learning and data analysis methods, we investigate the types and locations of retail businesses inside the city center, comparing successful and unsuccessful city centers. Our results show that success does not come with particular types of shops, but rather with centrality and bundled shopping areas. We provide insights for planning and developing successful retail in city centers to compete and interact with online retail.

Keywords: Machine learning; City center; Retail; Clustering; Centrality (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-86790-4_8

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DOI: 10.1007/978-3-030-86790-4_8

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