Llandudno

GCSE

What does the quality of life mean?

• The standard of healthy, comfort and happiness experienced by an individual or group

What does the inner city mean?

• Residental area characterised by dense terrace housing built in the 19th century, situated near formal industrial areas of a city

What does suburb mean?

• Residental area characterised by detached or semi-detached house with large gardens build from 1930’s onwards

What does accurate data mean?

• Data that is as close as possible to the true value

What does reliable data mean?

• Data that is ble to be repeated and getting a similar result every time

What does qualitative mean?

• Data that involves word, pictures

What does quantitative mean?

• Data that involves numbers, measurements

What does subjective mean?

• Something that is based on someone’s opinion

What was the human fieldwork question?

• To investigate differences in quality of life in Llandudno between the inner city and the suburbs

Why was Llandudno a suitable location to sample?

• Inner city and suburban areas accessible by foot

• Both areas had distinct housing types e.g inner city had terraced housing, suburban area had semi-detached and detached

• Size of Llandudno - small coastal town, less risk of getting lost

How did the Burgess model help us decide whether the key question for the investigation was appropiate?

• Burgess model states that the suburbs should have a better quality of life than the inner city, Llandudno has a population of 20,000 people, so it has inner city and suburban areas

Why do we know that the key question for the investigation was appropriate?

• Overall, the key question was appropriate as we managed to obtain the results which we needed for it with the help of the Burgess model

• Suburbs have a higher quality of life with factors such as e.g, bigger houses, open space, higher salaries
  

How was the primary data collection successful at times?

• Questionnaire – each group asked 4 –5 people in each of the areas and these results were added together, this allowed for a greater data set to be analysed

How was the primary data collection unsuccessful at times?

• 70% asked in the suburbs were retired

• Working aged people were not represented as they were at work when we carried out the questionnaire

• Majority of people in the inner city area were tourists and so did not have the same viewpoint as locals, this means that we could not reach a reliable and strong conclusion

Why was the questionnaire for our primary data subjective?

• Questionnaires were subjective as we only got responses from people who were prepared to stop to talk to us

• They may have been more positive people and this is shown in our data as 72% of people in the suburbs answered positively about their quality of life

Why was this investigation (quality of life) chosen?

• Poverty in areas that have experienced de-industrialisation, seasonal unemployment in coastal towns like Llandudno

How can some urban problems be managed?

• Encouraging businesses to set up in deprived areas to create job opportunities, creating sponge cities for flood management, vertical forests to allow biodiversity

Context of Llandudno?

• Coastal town - population of 20,000 people

• Originally a fishing village, development of the railway started, it became a tourist town

• 84% are employed, many work in hospitality and retail

What was the hypothesis for the investigation?

• Quality of life will be better in the suburbs (Tudno 3) than the inner city (Tudno 1)

How was the hypothesis justified?

• Air quality will be better, less traffic, less noise pollution, lower crime rates, houses will be bigger, green space

What are the risk assessments?

• Someone might get annoyed = shout at you = be polite + respectful​

• ​Traffic/cars = injury = take care when crossing roads, listen to teachers

• Getting lost - being left behind in Llandudno, stay in a 3, staff phone numbers.​

• Weather - may be too cold/wet ,dress appropriately, bring layers + sun cream

Which methods did we use for our investigation?

• Environmental quality assessment

• Questionnaires

How did the environmental quality assessment give us both qualitative data and quantative data?

• Qualitative data as it is subjective data, quantative data as we counted the number of trees in a given area, but both gave us numerical data

What was the sampling strategy for the EQA?

• STRATIFIED – this is where areas are pre-selected based on desired criteria to ensure that there is an even number of samples from both areas

Why was the sampling strategy chosen for the EQA?

• If we did systematic, choosing every 2nd side street the problem would be that the result will be coming from people who live in a similar area

• If we did random choosing anywhere in Llandudno at random the problem would be that it wouldn’t vary and it could just be in one place

What sampling strategy was used for the questionnaire?

• STRATIFIED - to ensure repsondents were asked in both locations but within each location we used opportunity sampling

What could the questionnaire data be presented as?

• Bar chart

• Pie chart

What are the advantages of using a bar chart?

• Shows the different categories clearly and easily and allows us to compare the two study areas.

• It is easy to get precise figures from the bar chart

What are the disadvantages of using a bar chart?

• This does not give locational context so you could put the bars on a map of Tudno 1 and Tudno 2

What can the EQA data be presented as?

• Located proportional circles

What are the advantages of using the located proportional circles?

• This method allows a very visual comparison of the OVERALL environmental quality of each survey point

• Excellent locational context to help explain the maps

What are the disadvantages of using the located proportional circles?

• It does not show how much each individual aspect of environmental quality that made up the overall score achieved eg, building quality or or noise

• It can be difficult to get the exact figures from proportional circles.

• Some of the circles when plotted on the map overlapped each other

Which factors make up a better quality of life in the suburbs?

• Economic, social and environmental

• House type and size, traffic