2014
DOI: 10.5539/ijsp.v3n1p67
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Selecting Location of Retail Stores Using Artificial Neural Networks and Google Places API

Abstract: Selection of locations of retail stores (similarly, facilities) is a kind of decision problem in which the researcher targets maximum profit or minimum cost by using statistical or judgmental forecasts. In many cases, statistical forecasts are based on survey data or data collected for an other store which are not reliable as the survey may not measure the potential demand or the other store that is used for comparison may not be similar enough. Addition to this, estimating the potential demand for a non-exist… Show more

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Cited by 7 publications
(1 citation statement)
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“…It is not difficult to find that, although these annotation methods were different, the categories in each paper were very similar. Like the work of Goodchild and Satman [27,28], we also used Google Places, which is widely used to provide location-related information and represent the ground truth labels. As a public data source, Google Places can provide detailed information about 100 million places across a wide range of categories, from the same database as Google Maps.…”
Section: Determination Of Categorymentioning
confidence: 99%
“…It is not difficult to find that, although these annotation methods were different, the categories in each paper were very similar. Like the work of Goodchild and Satman [27,28], we also used Google Places, which is widely used to provide location-related information and represent the ground truth labels. As a public data source, Google Places can provide detailed information about 100 million places across a wide range of categories, from the same database as Google Maps.…”
Section: Determination Of Categorymentioning
confidence: 99%