Presenter: Rich Lee

Location Suitability AnalysisNew Burger stores in San

Fernando Valley

2010 Fall 406 Final Project

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

I. Introduction

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

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

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

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

IV. GIS Methodology

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

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

IV. GIS Methodology

V. Results

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.

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

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

VII. Poster