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

2.  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. I. Introduction

4.  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 II. Question

5. 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 III. Data and Sources

6. 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 IV. GIS Methodology

7. 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 IV. GIS Methodology

10. 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 IV. GIS Methodology

11. 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 IV. GIS Methodology

12. V. Results

13.  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.  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. VI. Discussion

15.  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. VI. Discussion

16. VII. Poster