Human Feildwork

Question 1

Title

Answer 1

Investigating climate change mitigation in Farnham

Question 2

Hypothesis

Answer 2

The community of Farnham support the use of renewable energy

Question 3

Justification (2)

Answer 3

Close = easily accessible
Know the town/ familiar = won’t get lost l

Question 4

Risk assessment (2)

Answer 4

Road accident - use crossings/locate away from roads
Stranger danger - stay away from busy areas/stay in groups

Question 5

Theories & concepts (5)

Answer 5

UK CLIMATE CHANGE ACT 2008
- gov sets carbon limits every 5 years
- eg. ban on sale of new petrol/diesel cars by 2030

SURRY COUNTY COUNCIL STRATEGY
- aim to be carbon neutral by (organisation) 2030 and (county) 2050

NIMBYism
- not in my backyard!

Paris Agreement 2015

SOUTH DOWNS NATIONAL PARK
- protected spaces prevent development

Question 6

Demographics of Farnham (4)

Answer 6

Small town
Aging population
Higher than average income 💰
⬆️ contributor to transport pollution

Question 7

Primary Data

Answer 7

• Questionnaire with a sample size of 233
• Excel spreadsheet
• closed qualifying question = do you live in Farnham?
  Closed question = do you have a hybrid/electric vehicle?
• provides us with quantitative data for easy analysis

Open question = what is the biggest challenge to switching to renewable energy in our area?
- varied answers and use of quotes to support findings

Question 8

What did we use to collect SECONDARY data?

Answer 8

Secondary!
- online maps (EV charging points)
- satellite images 🛰 (properties with solar panels and solar farms)

Question 9

STATS YOU NEED TO REMEMBER

Answer 9

One solar farm (Aldershot)
12% people have solar panels on their property
12% residents believe enough is being done
50% people didn’t know ban was in 2030

AGE GAP:
50+ = 15% use EV
18-30 = 3% use EV

GENDER GAP:
On who supports development of solar farms locally
Male = 28%
Female = 38%

Question 10

When & where did it take place?

Answer 10

Wednesday afternoon in Farnham town centre

Question 11

What type of sampling did we use?
& JUSTIFICATION!

Answer 11

RANDOM STRATIFIED sampling - then analysed this date using excel spreadsheet

RANDOM - chose random people to speak to
—> varied results - reduced bias
—> efficient because we had limited time

STRATIFIED - chose specific locations to stand it
—> ensured we were placed in different areas so we didn’t speak to the same people

Question 12

How did we present our data? (2)

Answer 12

Composite/bar charts 📊
Pie charts 🥧

Question 13

Conclusion

Answer 13

Overall partly proved our hypothesis as majority of people’s answers backed it up but not all the data proved it.
Use theory NIMBYism?

Question 14

Why is there only one solar farm in the nearby area?

Answer 14

Prevention theories:
NIMBYism
National Park & rural areas
Sight/noise pollution

Question 15

EVALUATION
Strengths (4)

Answer 15

• came to a conclusion about our hypothesis
• relevance (in the news/geography spec)
• questionnaire was simple & effective and provided us with correct data
• shared data on Excel (larger sample size)

Question 16

EVALUATION
Weaknesses (4)

Answer 16

• guessed ages
• midday so encountered more elderly and less working class
• hard to accurately count solar panels (lots of errors)
• bias on approachability

Question 17

EVALUATION
Improvements (2)

Answer 17

• speak to the local council or government (they will have more knowledge and money to make change)
• count solar panels online/digitally (remove human error)