Human Fieldwork Flashcards

1
Q

Human fieldwork title

A

Investigate climate change mitigation in Purbeck

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2
Q

Human fieldwork aim/ hypothesis

A

Community of Purbeck are actively supporting the use of renewable energy

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3
Q

Why we chose Purbeck for human fieldwork enquiry

A

Proximity- close to where we were staying and easily accessible
Large population- can survey large sample of population to get more accurate representation of the whole town
Popular tourist sight- lots of people around so safe
Interest- proposed offshore wind farm didn’t get planning permission which suggests community are actively aware of pros and cons of switching to renewable energy
Is an AONB (area of natural beauty) which creates potential conflict in installing renewable energy which we wanted to explore

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4
Q

Location of human fieldwork

A

District of Purbeck, specifically town of Swanage, Dorset located south coast of England by the English Channel

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5
Q

2 risks of human enquiry and how we mitigated them

A

Road accident e.g getting hit by car- take care crossing roads, stay on pavements when possible, only cross at traffic lights when there’s a green man, stay in groups of at least 3, have mobile phone easily accessible to get help if needed

Kidnapped- stay in groups of at least 3, staff always nearby, mobile phone easily accessible to get help if needed

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6
Q

Mitigation meaning

A

Make something less severe/ reduce its risk

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7
Q

3 key supporting theories/ concepts for our human hypothesis

A

NIMBYISM- many local resident want to help mitigate change but don’t want offshore wind farms etc due to noise pollution, ruining views etc

AONB- Swanage is an Area of Outstanding Natural Beauty so activity is restricted as the area is protected by UK government for its countryside (explains why there are no offshore wind farms)
The Navitus Bay offshore wind farm was rejected but would be the worlds largest operating wind farm

Climate Change Act 2008- legally commits UK to becoming net- zero on carbon emissions by 2050
Includes 2035 ban on sale of new petrol and diesel vehicles (we expect to see an increase in number of hybrids/ electric vehicles)

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8
Q

What is the population of Swanage like (age groups)

A

Very high proportion of elderly people

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9
Q

What 2 restrictions/ aims did the 2008 Climate Change Act make the UK put in place

A

Will become net- zero on carbon emissions by 2050
Ban on sale of new petrol and diesel vehicles from 2035

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10
Q

How many methods did we use to collect data

A

1 primary
1 secondary

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11
Q

Methodology for collecting primary data (questionnaire)

A

We carried out a questionnaire to locals to understand whether they supported offshore/ onshore wind farms, solar farms, owned electric vehicles/ hybrids and their opinion on what was being done in the area to promote the use of renewable energy

First we asked the closed, qualifying question: ‘are you a local resident’ to ensure we only asked people who lived there and not tourists so that our results weren’t influenced by tourists views. We also asked people on their age group and gender to be able to include this in our data analysis

We then asked a total of 8 closed and 2 open questions including ‘do you have solar panels on your property’ (closed question) and ‘describe any positive changes/ actions you have seen in your area towards using renewable sources of energy’ (open question)

We carried out the questionnaire across 3 days from 26th September- 2nd October and interviewed a total of 323 people

We used a random stratified sampling method (yet it was still slightly biased due to the elderly nature of Dorset’s population)

Once we had collected all our data we used a large spreadsheet to create pie charts and bar graphs of the quantitative data from the closed questions to be able to analyse and prove/ disprove our hypothesis

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12
Q

Sample size for human enquiry

A

323 people

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13
Q

What type of data did we obtain from our questionnaire

A

Mainly Quantitative (from closed questions)
Some qualitative (from open questions)

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14
Q

2 types of style of question we used in questionnaire

A

Closed (provides quantitative data)
Open (provides qualitative data)

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15
Q

Which type of data could we quote in our analysis

A

Qualitative from the open questions

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16
Q

What type of data could we put into bar and pie charts

A

Quantitative

17
Q

What type of method was our questionnaire

A

Random stratified

18
Q

1 constraint we were under in completing questionnaire

A

Time (only had 1 hr and was across 3 different days so most children were at school)

19
Q

Was our human fieldwork hypothesis proven or disproven and why

A

Partly disproven

60% of people support offshore solar and wind farms

However…
Only 18% have solar panels on their property
Only 14% have EVs/ Hybrids
Most people against onshore wind farms

20
Q

How did we present our primary data

A

Closed questions (quantitative data) using pie charts and bar graphs including comparative bar charts and stacked bar charts to separate our data between different age groups and gender

21
Q

Positives of primary data presentation (pie charts and bar charts)

A

Comparative bar charts and stacked bar charts compare difference in support for renewable energy between different ages and gender
Visually represent data to quantify how much support there was for the use of renewable energy
Excel generated charts digitally so no risk of human error influencing our results and analysis so very accurate representation of data recorded

22
Q

Negatives of primary data collection (pie charts and bar charts)

A

Didn’t include qualitative data including responses to open question which provided key points that linked to our aim and that we underused in our analysis
Stacked bar charts can be confusing to understand and interpret

23
Q

4 key findings from primary data (quantitative)

A

60% people supported offshore wind and solar

80% people don’t have any electric vehicle charge point at home or work
18% people have solar panels on their property
14% people have EVs/ hybrids

24
Q

2 key quotes from qualitative primary data

A

(Positive changes/ actions seen to switching to use of renewable energy in area)
‘I have seen more solar panels on roofs’

(Biggest challenges to switching to use of renewable energy in area)
‘Cost of living crisis’
‘Affecting tourism- leds to people not wanting to visit’

25
Q

Problems with our questionnaire

A

Didn’t include enough people at a younger age
Limited time
No guarantee no tourists were asked despite qualifying question at start
Some people may have answered more than once

26
Q

What did we find from our secondary data where we counted the properties with solar panels from different satellite images then calculated a % and mean across different photos

A

10% properties have solar panels

27
Q

Why our secondary data (counting solar panels) was likely unaccurate

A

Solar panels easily mistaken for conservatories
Didn’t include every single property in Swanage, only a mean
Images not up to date so solar panels may have been installed since
Miscounting solar panels