Final Project Written Report
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Camden County Pt. 2 Moving on to Camden file #2, we conducted a similar procedure, analyzing the single pixel with the highest number of daily trips originating from it. These are important to observe because they represent the most active pixels in the region, thus marking the maximum bounds of aTaxi service in the county. In addition, we believed that doing so would create an analysis heuristic applicable for the whole country; if we are able to do this analysis for one pixel, it’s a matter of repeating the analysis for other pixels. This specific pixel contains a popular South Jersey strip mall. The trip files won’t be as heavily weighted on specific times as the train station, because the nature of a mall, but rather more spread out throughout the entire day. Browning Mall (Pixel 135, 52) 
Total AVO = 1.04 The departures per hour graph shows that patrons are leaving the mall at a pretty consistent pace from 7am all the way to 8pm. This makes sense, because those are typical store hours on a regular day. The AVO/hour graph is incredibly interesting, because it increases at a roughly linear pace from noon to midnight. When comparing the two graphs, it still does seem to mean that as the departures increase, so do the occupancy of each aTaxi, for the most part. This would agree with what we saw from the data at Lindenwold train station. 
The two graphs above are the total miles of passengers and total taxi miles from the mall. They share similar distributions, as they should. However, PaxMiles has a few instances of higher miles, because in scenarios when the vehicle occupancy of an aTaxi is above 1 person, the taxi still only travels the amount of miles of the trip, but the passenger miles are multiplied by the amount of people in the taxi. 
Similar to Camden 1, these graphs (every trip) agree with the AVO graph; there are more non-single person trips later in the day. The second graph is the first-graph-red-box’s subset, while the third fits within the red box of the second. Directory: ~alaink ~alaink -> Hourdajian, Dawn ~alaink -> Tuesday, August 20, 2013 ~alaink -> Southern New Jersey Summary ~alaink -> Atlantic County Paige Gillette and Jon Broscious ~alaink -> Personal Rapid Transit in Cape May County ~alaink -> Janney Montgomery Scott restaurant analyst Mark Kalinowski ~alaink -> Camden County By Jon Broscious and Paige Gillette ~alaink -> Existing Transit Service patco high Speed Line ~alaink -> Camden County ~alaink -> Prt proposal \chapter{Ocean County} Download 9.75 Mb. Share with your friends:
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