Atlantic County
Population: 274,549
Area: 672 sq. miles
# of pixels generating at least one oTrip: 1,373 DD = 300
Pixel to Pixel, CD = 1: Average = 1.00, Max = 1.12, Min = 1
Pixel to Pixel, CD = 3: Average = 1.09, Max = 1.44 , Min = 1
Pixel to Super Pixel, CD = 1: Average = 1.15 , Max =1.76, Min = 1
This graph depicts all of Atlantic County (which is different from departure occupancy vs. hours of day graph located below). It would be optimal to include buses or other larger vehicles during the hours of 7am-11am, when demand seems quite high in a short period of time. Though there are similar departure occupancies from noon till 8pm, they are more spread out, so sedans would be more efficient and still stay within a DD of 5 minutes so passengers all wouldn’t have to wait for a bigger bus.
Mark G. Etess Arena (Pixel 63, 128)
Total AVO: 1.3
There is a huge potential for ridesharing here, especially during lunch hours and later on in the afternoon, since both the average occupancy and gross number of departures increases later in the day. Earlier in the day, this effectiveness would appear not as impressive.
Passengers travel so much more near the end of the day to farther distances that more aTaxis may be required at these points. These aTaxis would have to be bigger cars (i.e. minivans or utility vehicles) since the AVO at these points is higher than much of the time slots.
This pixel’s overall ridership was very active, with the most number of trips with more than 10 riders in this entire report’s analysis (with the exception of Camden county’s Voorhees Town Center, which we examined precisely because its ridership was so high). Thus we can take liberty in producing many departure occupancy graphs zooming in on the areas of particularly high density of ridership, in both the plots with more and less than ten riders. The above graph zooms in to the graphs below via the outlined boxes, once again.
As one might see, the number of trips with potential for increased ridership is fantastically high for this pixel, so much so that splitting up into trips greater than and less than 10 riders still yielded usable results. As a result, we’d like to recommend that aTaxis be used liberally in this area of Atlantic county, more specifically in times after about 11 am, with bigger as well as smaller vehicles having the capability of being used (since the number of trips with increased ridership potential is rather significant when compared to the other counties). Such use of these vehicles for shared ridership would also lead to decreased pollution and increased convenience for the riders.
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