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Use of GIS in Retail Location Analysis

Niti Duggal

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Paperback / softback
27 March 2008
RRP: $94.75
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The choice of a store location has a profound effect on the entire business of a retail operation. Since GIS can be used to assemble large volumes of data from various sources with different map scales and in different coordinate systems, it is considered an important tool in location analysis. GIS offers a large number of techniques that have been successfully used by the retail businesses in location planning and strategic retail decision-making and applications. The objective of this retail location analysis is to develop and apply a methodology for analyzing the relationship between fast food store performance and the various socio-economic and demographic factors like the ethnic composition of population and median household income of Portage and Summit Counties in Ohio. This study conducts a retail location analysis of the relationship between the store performance of McDonald's and Burger King. Analytical procedures in GIS and statistical techniques have been applied using commercially available software to determine the impact of various demographic and socio-economic factors on store performance.

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RRP: $94.75
$76.00
Ships in 5–7 business days
Hurry up! Current stock:

Use of GIS in Retail Location Analysis

RRP: $94.75
$76.00

Description

The choice of a store location has a profound effect on the entire business of a retail operation. Since GIS can be used to assemble large volumes of data from various sources with different map scales and in different coordinate systems, it is considered an important tool in location analysis. GIS offers a large number of techniques that have been successfully used by the retail businesses in location planning and strategic retail decision-making and applications. The objective of this retail location analysis is to develop and apply a methodology for analyzing the relationship between fast food store performance and the various socio-economic and demographic factors like the ethnic composition of population and median household income of Portage and Summit Counties in Ohio. This study conducts a retail location analysis of the relationship between the store performance of McDonald's and Burger King. Analytical procedures in GIS and statistical techniques have been applied using commercially available software to determine the impact of various demographic and socio-economic factors on store performance.

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