Wednesday, July 17, 2019

Pedestrian Counts

1. Pedestrian CountsMy Isoline r bulgeine of Cambridge shows that, as I predicted, the overall front of my data is that the supercharge you move extraneous from the city, the fewer the number of prosys. This system is plunk for up by my scatter graph, which shows a negative correlation meaning that the pedestrian counts and the distance away from the city ticker argon inversely proportional, with lower counts the further you move away. The two innermost, red swarthy zones of the constitute allow pedestrian counts in the mid four hundreds. These counts be this laid-back for a number of reasons. They atomic number 18 in the centre of Cambridges CBD, and as a issuance are filled with high take on shops and services, and a large number of dumbly populated office blocks.For instance the interpretation put down on Market road, wake 419 stack passing that lodge in ten minutes was most in all probability repayable to the famous Cambridge Market which lies there. The h ighest reading of 465 on the corner of St Andrews street was again due to the presence of a great many an(prenominal) shops and services. I also note that the period when these readings were taken is also important. The fact that they were taken at 1130am on a Wednesday morning is crucial as this would be one of the times where the highest density of concourse would be shopping and working in offices. If these readings had been taken at 1130am on a Sunday then I believe that the results would have been very different.At point number 27 I would say that there is an anomalous result. A pedestrian count of only 90 here does not keep in with the 400+ trend, and though there are a few similar results somewhat it, such as the 107 at point 28, I feel that this result is an anomaly. A possible explanation for this is that there are very few shops in that area, notwithstanding I think that a more probably one is that the boys took the reading at a point which was not actually on the of import road, but refine a tiny side street. Of data track the boy may simply have got it wrong.The next zone on the Isoline correspond is coloured orange and deals with pedestrian counts from ccc down to 200. These points are situated in general near the larger collages meaning I would estimate that the majority of the pedestrians would be tourists. This theory is corroborated by the fact that the highest reading of 270 was recorded at the corner of the St Johns Collage, a built in bed of great tourist interest.The final white-livered zone is for counts of 200 to 100. They seem to be mainly clustered around the westerly side of the shopping district, with four out of the seven reading found here. The otherwise three readings are on main roads, with the highest of 178 being found at a junction of two main roads.This Isoline map is similar to the Burgess Urban model, in the highest density of people are in the centre of the town. However, it also differs from it as the zo nes are clearly not circular, with no people being found on the river.2. task DiscsAs you can see from my value discs map, most (12 out of 20) of the cars I surveyed were registered in Cambridge. This fits my prediction, and the is obviously because the survey was carried out IN Cambridge, and therefore any residents surveyed were very likely to have their car registered at the pose they lived. In regard to the other 8 cars not registered in Cambridge, the ones registered in comparatively far off places such as Kent and London and were most probably be to tourists who had come up to see Cambridge.

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