Geography Coursework – Methodology – Centre Of Leeds’ CBD

For my geography project I visited Leeds to test and find the economic centre of the CBD of Leeds. I needed to collect gain drop selective information as this would help me investigate the first of my hypotheses which is the nearer to the centre of the CBD, the tall(a)er the buildings as I counted the heights of buildings in my area on the geography field trip and with the groups data of the building height of the in all CBD. Also I would have needed to count the pedestrian mix as this would help me investigate the second of my hypotheses which is at that place will be a higher volume of pedestrians nearer the centre of the CBD .The data order area was near the centre of Leeds CBD as I collect my data rough Briggate as the distinctness of the Leeds CBD is near the tall office buildings. a map to show the buildings that our group had counted in our square B2 and shows beed square The dickens pieces of undivided data that I quiet was1. employment count2. surroundings al tone assessmentThe twain pieces of group data we cool was1. go-cart return2. inflict use3. Building heightThe individual secondary data that I will be collecting is1. Land valueThe structure of the day was that we were going away to split the day into two halves. We collected the group data in the morning and the individual data in the afternoon so we had much to a greater extent time to collect our individual data.Group dataFor our group data we split the CBD into grid squares and two people were responsible for recording the building height and enter use for the buildings in the given area and to do four pedestrian flows and we did the pedestrians flow right(prenominal) the town Hall on Westgate.We did this so we could cover more area and therefore the data collection techniques had to be the same end-to-end the whole year.For the group data we metrical the go-cart flow in a certain(prenominal) area at four different multiplication also we calculated of the buildi ng height of the buildings in my groups square and started instantly after we got out off the coach. Also we did destroy use of the buildings for this we calculated what particular use a building would be.We put letters on a map of Leeds that sod for type of the building e.g. a=commerce, b =administration etc.All the data in the Group data was to be shared between all the groups. The image on the remaining hand to shows my square which was B2 and the image on the right shows the building we had to investigateBuilding acmeTo collect data for building height I worked with a render and we counted the number of windows of individually building in our grid and used this as the height, we did this because we didnt have the time or equipment to measure the exact heights. We then collected the whole of the years data and have a good number of buildings from each grid to see where the tallest buildings are also the Building Height was pretty easy at times as you had to count the flo ors on the outside of the buildings, but there were problems counting the building height as we hold not to count the cellars, but some buildings on slopes had cellars at the jeopardize and soil floors at the front of the buildings and we did not agree to count these aswell.Pedestrian flowWe marked out four points on our maps equally inappropriate apart and took counts of people who pass us. One of our pair counted right to left and the other counted left to right so we could efficiently record everyone. We went to the Town Hall on Westgate and we counted the number of pedestrians who were walking either in or out of the CBD. We thought this was an ideal to do our pedestrian count as we were near the edge of the CBD, so it was an ideal place to count the number of pedestrians walking in and out of the CBD.Land UseFor this we used the ground floor land use of each building on our maps we had certain categories and we put them in the ones which best fitted the land use. We did thi s because the categories gave an idea of the type of land and what it was used for. We then collected them with the rest of the years data on a database to see the different land uses around the CBD. We had filled in the land use of the buildings in a table which has all the number of the buildings. I think that the amount of categories that sort out the buildings was the right amount because if there were more categories it would have make it more complicated to organise the Land use on GIS, if there was less categories then it would have made it hard to organise the different types of buildings in the categories. Luckily we had successfully had no problems classifying the buildings into different categories. individualistic dataFor individual data I collected raw data for the two options I chose. I did this by going round Leeds CBD and recording the data. In the second part of the day we did Individual Data. I did 10 environmental quality assessments and I did 2 duty counts as th ey took 5 minutes each and the environmental quality assessments were bemused around the Leeds CBD.Environmental quality surveyI did many of these all around the CBD of Leeds as I had done 10 environmental quality assessments and I had done many of these near the centre of the CBD as my probe is to find the centre of the CBD of Leeds. I did many of the environmental quality assessments around the centre of the CBD (which I think it is near or on Briggate) and I did the rest of the environmental quality assessment sheets around the edges of the CBD. The reason I did the survey in different areas of the CBD was to see the difference of the quality of the environment throughout the CBD of Leeds. I also thought that this survey was important as the centre of the CBD is supposed to have the best quality of environment in the whole CBD of Leeds. As the table shows this is not true and the cleanest area is in Gourmet Pizzeria, St Pauls Street. Shows the Quality of environmental survey I usedTraffic countOur group did the Traffic count in a busy positioning. We did our dealing on Bishopgate Street, beside Leeds Train station. The reason of us choosing the location was because it was at the edge of the CBD meaning the traffic that we had counted had been going in and out of the CBD. We did 3 traffic counts at different times but at the same location as we wanted to see the change of the traffic flow throughout the day. In our traffic count we had counted all the vehicles that came passed the road, cars, buses, taxis e.t.c. The most amount of traffic that had come past our point (the highest number of vehicles an hour) was at 2.30 pm and there was 1524 Vehicles an hour.