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Presenter: Rich Lee

2010 Fall 406 Final Project. Presenter: Rich Lee. Location Suitability Analysis. New Burger stores in San Fernando Valley. I. Introduction. In-N-Out Burger is famous in South West America. Established in 1948 at Baldwin Park, CA, In-N-Out nowadays has more than 250 stores.

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Presenter: Rich Lee

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  1. 2010 Fall 406 Final Project Presenter: Rich Lee Location Suitability Analysis New Burger stores in San Fernando Valley

  2. I. Introduction • In-N-Out Burger is famous in South West America. Established in 1948 at Baldwin Park, CA, In-N-Out nowadays has more than 250 stores. • This project assumed that In-N-Out intends to serve more customers in San Fernando Valley, CA, so the company needs to find a new store location. • Since there are too many factors may affect the decision, In-N-Out decided to apply Location Suitability Analysis method in GIS to make sure that their new store could locate in a suitable place.

  3. I. Introduction

  4. II.Question • Where is the best new store locations in San Fernando Valley, CA? • Factors: • Closer to highway • Existing locations • Land use type • Population (Age from 18 to 39) • Others

  5. III. Dataand Sources In this project, the following data had been used: • Current In-N-Out locations • Download from The official website: www.in-n-out.com • San Fernando Valley • ESRI US Street Map (copy form Geography Data Drive) • (Including Background data, Census data, Highway data) • Land use Data • Copy from Geography Data Drive

  6. IV. GIS Methodology Pre-Processing • In-N-Out Locations: • Geo-Coding existing In-N-Out locations data by Google Map • Convert (Lat, Lon) into Shapefile (polygon) • Buffer all the locations with 0.5 mi radius from 0.5 to 3.5 miles • Highway data: • Select those highways in the study area • I-5, I-405, I-210, US-101, SR-118, SR-170

  7. IV. GIS Methodology Pre-Processing • Land use type: • Classify different land use type into 1 to 10 scale • agriculture and government places are 0~3 • residential places are 5 • commercial places are 10 • Census data (Age): • Reclassify the population from age 18 to 39 into 10 groups

  8. IV. GIS Methodology

  9. IV. GIS Methodology

  10. IV. GIS Methodology Data Analysis • Euclidean Distance • For In-N-Out locations and Highway data • Convert into “Raster” format with the same cell sizes • Reclassify • convert all the raster data into 1 to 10 scale, so the overlap will be done under the same conditions with each data layers. • Weighted Overlay • Majority

  11. IV. GIS Methodology Data Analysis • Weighted Overlay Existing location---40% Highway---30% Age---20% Land use type---10% • Majority • By Eight cell size • make sure the places are large enough • Final Selection • within 0.2 mi to Highway

  12. V. Results

  13. V. Results • The final output are three different places located in the east of the study area. Those places are around I-5 and I-210 in SF valley.

  14. VI. Discussion • Due to the number of factors, it is hard to have only one optimal site. • However, those three locations are still good suggestions that In-N-Out burger could start to do more research about ( e.g. real estate price). • If there could have more elements added into analysis, the result will be better.

  15. VI. Discussion • The analysis of location suitability is a good method to support the decision maker and it could be applied into a wide range. • Those analysis methods could be combined into a “Spatial Decision Support System”, in which could help the decision maker to find a better solution that is based on the latest updated geographical information data.

  16. VII. Poster

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