Geogtaphy Methodology

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In this part of my coursework I will explain how I will collect my results to prove my hypothesis, “Guiseley is a secondary shopping centre”. During the summer term our class has several opportunities to go out to Guiseley to look at the different shopping areas in Guiseley; these include Otley Road, Oxford Road, West Side Retail Park and Guiseley Retail Park. On our trips down we shall complete a traffic count, questionnaire, transport map and shop count shop. This shall all be put in my data presentation section of my coursework.

When we were collecting data in Guiseley we did many different assessments of the different shopping areas. On our first trip we walked around the four main shopping areas of Guiseley and tallied up the different shops (high, low, medium and service shops) also we paced out the shop frontages, this information will be used to draw a proportional graph of each area so it is easy to see the use and size of each areas. We will also do a traffic and pedestrian count to see which was the busiest part of Guiseley, this will be done for 10 minutes on each side of the road. This information will be used in a traffic flow chart to easily see which the busiest part is. On our last trip into Guiseley we will ask people a range of questions with the results we will create a sphere of influence for each area and a graph for each question and area to see the results clearer. These are the questions we asked some people in Guiseley:
Question 1:Where do you live (street and town)?

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This question will tell us where the people in each area of Guiseley are from. We can then use this information to create four charts showing us the sphere of influence for each area. This will help us decide if Guiseley is a secondary shopping centre as different types of shops attract larger of smaller numbers of people.

Question 2: How did you travel to Guiseley today?

(a)Walk (b)Car (c)Bus (d)Train (e) Other

This question will tell us the types of transport used to travel to each area; we can then compare this information to the facilities nearby e.g. ...

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