2021
DOI: 10.1177/23998083211021870
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Why are convenience stores clustered? The reasons behind the clustering of similar shops and the effect of increased competition

Abstract: Similar stores, when clustered in urban locations, often close down; many scholars have explained this phenomenon using Hotelling’s theory. However, empirically, several studies have found that competition between rivals causes stores to move away from each other, exhibiting a repulsive force. By contrast, other studies insist that customers strongly drive the agglomeration of retail rivals. This study chooses convenience stores as an experimental subject to investigate why similar shops cluster in an area and… Show more

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Cited by 4 publications
(4 citation statements)
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“…Our findings are important in the context of urban sustainability policies as, in practice, it may be impossible to design a city in which all places allow access to the same number of opportunities, notably due to the known tendency of competing activities to aggregate in certain locations to reach a larger market 44 . On the other hand, it may be reasonable to aim to design a city in which there is (nearly) equal access to different types of opportunities.…”
Section: Discussionmentioning
confidence: 94%
“…Our findings are important in the context of urban sustainability policies as, in practice, it may be impossible to design a city in which all places allow access to the same number of opportunities, notably due to the known tendency of competing activities to aggregate in certain locations to reach a larger market 44 . On the other hand, it may be reasonable to aim to design a city in which there is (nearly) equal access to different types of opportunities.…”
Section: Discussionmentioning
confidence: 94%
“…As for small-scale modern retail category, data were taken from Alfamart. Indomaret retail data were not included as the locations of the two retails were typically close in proximity, following Hotelling's theory (Seong et al, 2022) The retail spatial distribution pattern was analyzed using Moran's I and LISA statistics. Moran's I has been widely used to analyze spatial patterns of accessibility (Wang et al, 2019), measures the degree of randomness of urban sprawl (Steurer & Bayr, 2020), and examine the distribution pattern of air pollution (Han, 2020).…”
Section: The Methodsmentioning
confidence: 99%
“…Third, the factors like the number of shops, cars, and pedestrians can be applied to analyze the route choices of travelers in shopping areas (Kawada et al, 2014). Besides the number of these components, the clustering of retails is also a positive attribute that absorbs pedestrians and prompts them to choose walking (Kockelman, 1997; De Nisco and Warnaby, 2014; Seong et al, 2022).…”
Section: Literature Reviewmentioning
confidence: 99%