Llandudno fieldwork

What was the aim for our human fieldwork investigation?

To investigate the differences in quality of life between Lladudno’s town centre & its suburbs

What was our hypothesis?

The quality of life will be better in the suburban areas than in the town centre

This is because we thought that the suburbs would have better air quality, less traffic, less noise pollution, lower crime rates & bigger houses with more green spaces

What geographical theory supports our hypothesis?

The Burgess model

Llandudno was a suitable location to sample because…

- Both the town centre & the suburbs were accessible on foot

- Llandudno is quite a small town which reduced the risk of getting lost or left behind

- The distinctive housing types between the town centre (terraced houses) & the suburbs (semi-detached & detached houses) made it easier for us to determine where the quality of life was better

What were the potential risks of our investigation & how were they avoided?

Roads/traffic could cause accidents & injuries → be careful when crossing roads, try to cross at zebra crossings or at traffic lights, listen to teachers instructions about road safety

Exploring a new town could cause getting lost → stay in groups of 3 minimum, have a map in each group as well as a phone with the teachers numbers

What methods did we use to collect data?

Environmental quality assessment (EQA)

Questionaire

What sampling strategies did we use & why?

Stratified sampling — for both the EQA & the questionnaire because it ensured that we collected data from both the town centre & the suburbs

Opportunity — during the questionnaire, however this could have meant that our results were not entirely representative because we might have been more willing to ask some residents than others

What were our results from the EQA?

What were our results from the questionaire?

Our primary data collection WAS successful because…

- Each group asked 4-5 people in each area and these results were added together, allowing us to analyse a greater range of data. This also helped us to identify & eliminate any anomalies

- Our results align with our hypothesis and the Burgess model, suggesting that our data collection is accurate because it matches the geographical theory

- We used stratified sampling which ensured that we collected data from both the town centre & the suburbs, allowing us to do an equal comparison

Our primary data collection WAS NOT successful because…

- 70% of people who did the questionnaire in the suburbs were retired

- We carried out the questionnaire on a weekday, so there might not have been any interviewees from the working class

- In the town centre, the majority of people were tourists & so did not reflect the views of the residents

- Both the EQA & the questionaire were subjective as they were based on our opinions & who we chose to ask

- The sample size of the questionaire was small compared to Llandudno’s population

- The people who were willing to answer our questionaire might have been more positive

CONTEXT

Llandudno is a ____ with a population of ____. Originally it was a ____ however, when the ____ was built it became a tourist town. Lots of the people work in ____ & ____% are employed (in line with the UK average).

1 = Coastal town

2 = 20,000

3 = Fishing village

4 = Railway

5 = Hospitality & retail

6 = 84%

KEY WORDS

Quality of life

The standard of health, comfort & happiness experienced by an individual or group

KEY WORDS

Inner city

Residential area characterised by dense terrace housing built in the 19th century

Situated near formal industrial areas of a city/town

KEY WORDS

Suburb

Residential area characterised by detached or semi-detached housing with large gardens built from the 1930s & onwards

KEY WORDS

Accurate

Data that is close as possible to the true value

KEY WORDS

Reliable

When similar data is obtained every time that the investigation is repeated

KEY WORDS

Qualitative

Data that involves words or pictures

(e.g. someone’s answer to a questionnaire)

KEY WORDS

Quantitative

Data that involves numbers

(e.g. height or time)

KEY WORDS

Subjective

Something that is based on someones opinion