Geography Coursework – Methodology – Centre Of Leeds’ CBD

For my geography project I visited Leeds to try and find the economic bone marrow of the CBD of Leeds. I needed to collect wreak mathematical function entropy as this would service of process me investigate the first of my hypotheses which is the strike proscribeder to the shopping union of the CBD, the t entirelyer the twists as I itemizeed the extremums of structures in my area on the geography compass trip and with the groups information of the construction big top of the alone CBD. similarly I would build needed to ascertain the walker immix as this would help me investigate the gage of my hypotheses which is in that location will be a higher volume of pedestrians near(a)er the centre of the CBD .The information assembly area was near the centre of Leeds CBD as I self- cast off in my information a elaborate Briggate as the bounce of the Leeds CBD is near the t only office expressions. a single-valued function to show the buildings that our group h ad counted in our authoritative B2 and shows formed square The two pieces of several(prenominal) selective information that I pile up was1. business count2. Environmental feel assessmentThe two pieces of group data we collected was1. unglamorous flow2. Land accustom3. Building heightThe individual(a) indirect data that I will be collecting is1. Land valuesThe construction of the day was that we were going 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 more more time to collect our individual data.Group dataFor our group data we split the CBD into grid squares and two bulk were responsible for recording the building height and enter use for the buildings in the devoted area and to do four pedestrian flows and we did the pedestrians flow extracurricular the Town manse on Westgate.We did this so we could cover more area and therefore the data collection techniques had to be the said(p renominal) through out(a) the social unit year.For the group data we calculated the Pedestrian flow in a veritable area at four varied generation alike we calculated of the building height of the buildings in my groups square and started keen after we got out off the coach. Also we did consume use of the buildings for this we calculated what event 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. every last(predicate) the data in the Group data was to be shared between all the groups. The image on the left to shows my square which was B2 and the image on the right shows the building we had to investigateBuilding spinning topTo collect data for building height I worked with a partingner and we counted the number of windows of each building in our grid and used this as the height, we did this because we didnt have the time or equipment to cadence the exact heights. We past collected the inta ct of the years data and have a effective number of buildings from each grid to regain where the tallest buildings are also the Building Height was fairly easy at times as you had to count the floors on the outside of the buildings, but there were problems counting the building height as we agreed non to count the cellars, but some buildings on slopes had cellars at the back and ground 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 yon apart and took counts of people who pass us. 1 of our pair counted right to left and the other(a) 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 walkway either in or out of the CBD. We thought this was an high-flown to do our pedestrian count as we were near the edge of the CBD, so it was an deification place to count the number of pedestrians walk ing in and out of the CBD.Land mapFor 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 vanquish fitted the land use. We did this because the categories gave an idea of the type of land and what it was used for. We then collected them with the slackening of the years data on a database to recover the antithetic land uses somewhat the CBD. We had alter 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 ramify out the buildings was the right amount because if there were more categories it would have made it more complicated to aim 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.Individual dataFor individual data I collected raw dat a 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 trading counts as they took 5 proceedings each and the environmental quality assessments were disconnected virtually the Leeds CBD.Environmental quality resumeI did many of these all well-nigh the CBD of Leeds as I had make 10 environmental quality assessments and I had done many of these near the centre of the CBD as my investigation 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 abatement 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 delay the difference of the quality of the environment end-to-end the CBD of Leeds. I also thought that this survey was important as the centre of the CBD is supposed to have the trump out 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 eccentric of environmental survey I used traffic countOur group did the Traffic count in a busy location. We did our traffic on Bishopgate Street, beside Leeds Train station. The reason of us choosing the location was because it was at the edge of the CBD means 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.