Human Fieldwork Flashcards
Title of Human Fieldwork
An investigation into the impact of regeneration of Leeds Dock
Hypothesis of Human Fieldwork
The environmental quality of the regeneration will increase as you get closer to Leeds City Centre
Why and how was the area regenerated?
It was derelict due to deindustrialisation, global shift and globalisation
Regenerated blue spaces
Urban greening
Flagship museums (Royal Armouries)
High quality residential apartments
What data did we use?
Primary
Quantitative
What was our methodology?
Systematic Sampling - Quick and easy method where samples are taken at regular intervals - in our case every 150m along the transect line that stretches from the city centre to the edge of the regeneration site
- Create a quantitative environmental survey table
- Mark 8 sample points every 150m onto a map along a transect
- At each sample site:
Use the environmental quality survey table to score each site 1- 5 on each criteria
Agree on collective data (mean)
Calculate a total score for each site /40
What is a transect line?
A line which is drawn through the area being investigated. It is used to study changes in an area
4 risks
level
reduce
Being involved in a road collision whilst crossing
Low risk
Always use a pedestrian crossing and wait for the green man
Drowning
Low risk
Stay away from edge of the water
Industrial accidents
Low risk
Avoid dangerous areas
Slips trips and falls
High risk
Appropriate footwear
Why is Leeds Dock a suitable location to collect data about regeneration?
Accessibility - students can go there and collect data and come back within a day
Relatively safe - Away from dangerous areas
Availability of data - the site has a range of survey points available with enough variation within locality to make conclusions relating to the hypothesis
What is an Environmental Quality Survey?
Takes into account a set number of criteria against which the researcher gives a score.
For each criteria, paired, opposite words are used to create a likert scale which the researcher uses to place their opinion - subjective
Once the analysis is complete a total value can be calculated by using a sum of the individual scores - allowing easy comparisons between locations
Evaluation of likert scale method?
Creates scores which are highly subjective to reader’s opinion.
This can lead to inaccurate comparisons if there is inconsistent grading between locations
What are the limitations to the human fieldwork method?
How can we tackle this
Subjective - create a mean score of the classes data
Opinions can change over time - conduct a pilot test and then go and do the study
All the variables are weighted equally although some have more relevance to the hypothesis than others eg. lighting of streets carried too much weight
Adjust weighting.
Difficult to quantify some of the criteria eg. Condition of roads and pavements - Use images to represent different scores or use decibal app to measure noise
How did we present our data?
What is it?
Proportional symbol map showing total environmental quality score per location
Proportional symbol maps scale the size of simple symbols proportionally to the dat value found at the location.
The larger the symbol the more of what you’re measuring exists at the location
Limitation of data presentation?
Only shows a total score and not the individual break downs.
Is not precise or easy to extract data from
Advantages of data presentation?
Portrays a clear trend that answers the hypothesis of our investigation
OVERALL CONCLUSION FOR HUMAN
Overall, when considering if the environmental quality of the regeneration will increase as you get closer to the city centre I can see that it does. For example sample site 1 scored 34/40 (closest to the city centre) while sample site 8 scored 18/40 which was furthest away.
However, the trend along my transect was not consistent with sample site 4 achieving the highest score of 40/40 due to it having:
Excellent quality buildings
No dereliction
Good quality roads
This shows regeneration has different impacts and different places within the regenerated area
From my data I have decided to accept my original hypothesis.