Michelle Rush’s Individual Paper

Michelle Rush
G.I.S. Presentation Explanation
12 April, 2013

G.I.S. has a lot of capabilities, both basic and advanced (particularly when paired with other programs such as Rhinoceros).  It is fairly simple to learn and use and is often utilized by Urban or City Planners as a tool to layer, compare, and contrast the demographics of a particular region, city, neighborhood, or block.  The path I chose to demonstrate and discuss in our presentation involved layering multiple groups of data on top of one another, which essentially roots new information.

I chose to address the availability (and in turn the lack there-of) of certain public services to various residential areas of within Cincinnati.  We, as a group, narrowed our research region to downtown and a surrounding radius that reaches to just above Campus.

The initial demographics I chose were the locations of schools, daycares, and youth clubs throughout the city.  I labeled them as different (also brightly) colored dots so they are easy to see and compare with one another.  After scrolling around the page, it came to my attention that there were three different conditions occurring all on one map.  In one condition there were some areas that had rather large quantities of these facilities clustered extremely closely together.  In the second condition, the facilities did not even come remotely close to one another, and the third condition shows a pretty well-balanced spread.  This was pretty standard information, so I wanted to take it a step further by layering one more demographic underneath of all of these: the density of population per block.  This would allow me to really examine the areas which have appropriate access to such public facilities as well as the areas which more of a trek to make to reach one.

The results of this test were very interesting.  I found that certain neighborhoods with extremely dense population per block have hardly any access to public facilities like the ones in question, while other areas that are substantially more sparsely populated have clusters of said facilities.

Statistics like these are precisely the reason city and urban planners utilize G.I.S. Programs; they can layer information (exactly like I did) to determine how to create a better balance of things like residences, businesses, parks, public facilities, etc. within various neighborhoods.  The research I conducted proves as an illogical issue that eventually needs to be solved so that everyone in Cincinnati can have the same, simple accessibility to schools, daycares, or youth clubs as someone on the other side of town.  This creates happier residents and a more efficient urban system which is the ultimate goal of every urban or city planner.

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