Suzannah Rochelle M., Abby Reed, Garrett Vogel Portland, Oregon U.S.A.

Acknowledgements Data collection sources: Yelp, Loopnet, Portland Data Sets (Civicapps.org), Portland Metro Regional Land Information System (PRLIS)

Conclusion

Aim Cats are therapeutic, and when combining that with a cozy café atmosphere, it’s easy understand the popularity of this style service Our goal is to model a Japanese style cat café, invented in the last half decade. The pioneer North American based café of this style is located in Oakland, CA. The Cattown café and adoption center is looking to purchase a new space in Portland, OR. We created geographic models for addresses of real estate locations for sale in the downtown Portland area, and various data layers to show best opportunity.

Introduction

“ The new cat café, where felines and friends can enjoy company “

The ideal location for a cat café in Portland should have proximity to downtown/public transit, people of cat-adoption age (over 18), and flat, easy land on which to build/buy real estate property.

Vector Suitability Map

Network Analysis

TIN & Raster Analysis

This network analysis flowchart shows our goal of finding the largest target market, and criteria to build it with facilities and demand points, along with the weights for the chosen facility with a population percentage based on the total population.

This TIN created in arcScene displays slope in degrees. We wanted to use TIN to find a location where there was a shallow slope since the café would be easy to build on flatter land. Cat café-specific layers are added to display the most suitable locations: one where slope is low, cat shelters and parking meters are close, popular cafes may be close by, real estate locations are reasonable and affordable, and pedestrian traffic is substantial. Areas with high concentrations of the symbols shown in the legend (shelters, parking, other cafes, and dense pedestrian districts) can be juxtaposed with slope created in this TIN to add a final layer of complexity to the suitability map to determine the ideal location for the construction of the Cat Café.

Methods: The suitability map contains three opportunities and three constraints that were weighted 1 and -1, respectively. From the map legend we can see that, upon unioning the opportunity and constraint maps to produce the final suitability map, there were two areas that had all three opportunities and no constraints. The worst areas in the suitability map had two constraints (a score of -2) and should therefore be eliminated in the selection process of a building for the Cat Cafe. Results: The dark green areas in the center of downtown are far away from fault lines, other popular cafes, and high concentrations of children, and are closest to cat shelters, pedestrian districts, and tram stops. This being said, the vacant lot nearest the dark green area should be selected and rented for the Cat Cafe in Portland.

This vector suitability map flowchart shows the steps to assigning weights for the opportunities and constraints, and the steps of modelling the layers.

Cat Café in Portland

This flowchart to the TIN model building shows the steps creating the TIN, raster slope, and floating the vector suitability analysis on top to show relevance.

The green square, for sale property, nearest the opportunities of hustling and bustling downtown Portland, is the best location. It is in close proximity to a starred cat shelter.

The purple area represents a 1 mile pedestrian walkable radius based on the sidewalk access. This location is also optimal because it was chosen from a location allocation as the facility to serve the highest population of our target audience, shown as purple rays from census block points.

Methods: The network analysis map is shown as a performance measure of achieving the greatest market share possible. To set up the network, a transportation data set was built to include bus stops, light-rail line stops, roadways, and sidewalks. Approximate speeds were set based on averages for each feature class, and calculations were preformed to calculate travel two and from nodes based on known distance lengths in miles, each calculated in terms of minutes. Results: The analysis chose a location nearest the Willamette River because it is able to branch out as a center point to the most 18+ potential cat adopters of the possible real-estate locations. 42% of Portland’s over eighteen population can access the café within 5 minutes. This is likely because it is located in the heart of downtown and close to many bus, light-rail transit, roadways, and pedestrian zones.