Pedestrian Counts.

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GCSE Geography Coursework Analysis

1. Pedestrian Counts

My Isoline Map of Cambridge shows that, as I predicted,  the overall trend of my data is that the further you move away from the city, the fewer the number of pedestrians. This theory is backed up by my scatter graph, which shows a negative correlation meaning that the pedestrian counts and the distance away from the city centre are inversely proportional, with lower counts the further you move away. The two innermost, red coloured zones of the map have pedestrian counts in the mid four hundreds. These counts are this high for a number of reasons. They are in the centre of Cambridge’s CBD, and as a result are filled with high demand shops and services, and a large number of densely populated office blocks. For instance the reading recorded on Market road, showing 419 people passing that point in ten minutes was most probably due to the famous ‘Cambridge Market’ which lies there. The highest reading of 465 on the corner of St Andrews street was again due to the presence of a great many shops and services. I also note that the time when these readings were taken is also important. The fact that they were taken at 11:30am on a Wednesday morning is crucial as this would be one of the times where the highest density of people would be shopping and working in offices. If these readings had been taken at 11:30am on a Sunday then I believe that the results would have been very different.

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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 around 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, but I think that a more likely one is that the boys took the reading at a point which was not actually on the main road, but down a tiny side ...

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Overall 4 out of 5 stars. This section of the report is well structured and shows the elements of description, explanation and examples in SOME parts of the analysis. There is also a link to geographical theory. However there is also more opportunity for extended explanation and analysis of some findings and to make links BETWEEN different sets of data, eg. the tourist attraction of the colleges and tax disc data.