Objective: To asses the placement of current stations and provide possible alternative locations that would be more beneficial to users.
Introduction: With climate change sparking environmental concerns in the previous years, Ohio Wesleyan University has taken charge in creating a more sustainable foot print in the landscape. Ever since there have been quite a few projects that have launched aiming to help in the effort. Last year, for example, the introduction of plastic to-go containers in Hamwill gave students an alternative to the styrofoam containers and helped OWU lower its usage of materials that present a possible harm to the landscape. Another prominent project implemented on campus is the water bottle fill-up stations that double as a drinking fountain. These stations promote the use of refilling their water bottles instead of throwing them away which decreases the overall amount of plastic they throw away. The purpose of this project is not to put in more stations specifically but rather provide locations that would better serve students and faculty alike in there refilling, translating to the limiting of purchasing a new water bottle when they are done.
Data Method: To gather the required data needed to properly come up with credible alternative locations, I will focus on finding and mapping current locations on the academic side of campus. Specifically everything from the theater to Selby Stadium. I plan on staying around the station in between classes and during sport events while not acting to sketchy and recording the timespan and how many times the refill part of the station is used while also noting how much activity is in the area. Knowing how many times a space is used is essential due to the fact that a higher number of people means a greater demand for water. A possible second method to acquiring data is to write down the current number of refills a station has underwent, then visiting after a week and record how much the number has increased.
Data Assessment: By gathering the refill usage number and information on how frequently an area is visited from two weeks time, I will be able to sketch a brief map visualizing high demand and low demand areas as well as usage numbers. What this data will give are places were that are efficient and less efficient signaling a need to either move a station or build a station, depending on cost.