Geospatial analysis of census data for targeting new businesses using geoeconomics

Authors

  • Singha Sushant K. VirtusaPolaris Corporation Author

DOI:

https://doi.org/10.37380/jisib.v6i3.192

Keywords:

Analytics, ArcGIS, Asian, business, California, census, geospatial, restaurants, ZCTA

Abstract

Geoeconomics plays a vital role in encouraging goods and services on new marketplaces. Selecting a “sweet-spot” for new businesses is one of the biggest challenges for new entrepreneurs, enterprises, and investors, especially in the restaurant industry. This paper aims to present a novel geospatial methodological approach for new businesses using census data to answer an important business question: Where I should start my new Asian cuisine restaurant? State and zip code tabulation area (ZCTA) level data on race and income, downloaded from the US census website, were applied for the analysis. ArcGIS software was used as a geospatial analytics tool for hotspot analysis and for producing maps. Based on the state level standard deviation map, California was found to have the second-highest relative Asian population as gauged by the standard deviation (Std. Dev.) from the mean (1.5-2.5 Std. Dev.), after Hawaii (>2.5 Std. Dev.), and followed by New Jersey, New York, Nevada, and Washington. The state of California was selected for further investigation. Seventeen of 58 counties were found to be Asian community hotspots in California. A majority (48%, 854 of 1763) of the ZCTA were found to be Asian community hotspots in these zip codes in this state, and this was statistically significant. Only 9% (163 of 1763) of the ZCTA were not statistically significant Asian community hotspots, while 43% of the ZCTA were found to be statistically significant coldspots of Asian communities in California. Among the 17 hotspot counties of Asian communities, 14 were also derived as hotspots of mean income. The road layer map revealed that these ZCTAs are well connected to major roads in the state. New entrepreneurs, enterprises, and investors, those who are willing to open and or invest in new restaurants, but are not sure about the location, could target hotspot ZCTAs in these counties for Asian cuisine. Integrating ArcGIS with census data for producing maps of statistically significant potential business locations could be used as an important decision-making tool for opening new businesses.

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Published

2016-12-30

How to Cite

Sushant K., S. (2016). Geospatial analysis of census data for targeting new businesses using geoeconomics. Journal of Intelligence Studies in Business, 6(3), 5-12. https://doi.org/10.37380/jisib.v6i3.192