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what is the investigation question
TO INVESTIGATE DIFFERENCES IN QUALITY OF LIFE IN LLANDUDNO BETWEEN THE TOWN CENTRE +INNER CITY COMPARED TO THE SUBURBS
what challenges do urban areas face
Poverty in areas that have experienced deindustrialisation.
Seasonal unemployment in coastal towns like Llandudno.
Seasonal reduction in employment if people become part time eg summer there may be more jobs but in winter some jobs may disappear or make less money.
High crime rate in some towns/cities.
Urbanisation = impermeable surfaces = surface water = flooding
Overpopulation if cities grow = less space = demand for housing = house price increase (also since covid more pressure in smaller towns) or in retirement towns with second homes.
Traffic, often from tourism = air pollution + congestion (see London) on local scale BUT also on global scale releases more greenhouses gases.
Education – growing urban areas may not be enough school places or access to opportunities.
llandudno context
IT IS A COASTAL TOWN - 20,000 PEOPLE.
ORIGINALLY A FISHING VILLAGE THEN WITH THE RAILWAY BECAME A TOURIST TOWN.
84% are employed (in line with UK average)
Lots of people work in hospitality and retail.
What is your hypothesis and explain
Our hypothesis is that
the quality of life will be better in the SUBURBAN AREAS (Tudno 3) than in the TOWN CENTRE plus INNER CITY (Tudno 1).
We thought this because the air quality will be better as there will be less traffic, there will be less noise pollution, lower crime rates, houses will be bigger with more green space.
Name and explain hazards for the risk assessment
Someone might get annoyed = shout at you = be polite + respectful
Traffic/cars = injury = take care when crossing roads, listen to teachers, take care.
Getting lost = being left behind in Llandudno = stay in a 3, plus have staff phone numbers.
Weather = may be too cold/wet = hypothermia/sun burn= dress appropriately, bring layers + sun cream
explain what an environmental quality assessment is - EQA
used to collect data about the environmental quality of different sites.
They use the judgement of the person conducting the survey to assess environmental quality against a range of indicators
Using a sliding scale (1 -5) or bipolar scale (-3 to 3)
Usually, the lower the score the more negative the assessment of the environmental quality
They are subjective because they are based on the opinion of the person completing them
They produce quantitative data
explain what a questionnaire is
Produce qualitative data
Asking questions: closed, statement or open
Produce an answer – using a sliding scale
Based on person’s opinion and judgement
DATA FOR EQA
indicator | tudno 1 - mean | tudno 3 - mean |
green | 3 | 6.75 |
litter | 6.5 | 4.75 |
noise | 4.5 | 6.5 |
traffic | 7.25 | 8.5 |
building | 5.5 | 6 |
crime | 6.75 | 8.75 |
total - out of 60 | 33.5 | 41.25 |
1 = poor, 10 = best
DATA FOR QUESTIONNAIRE
| INNER CITY – TUDNO 1 | SUBURBS – TUDNO 3 |
I really don't like it | 7 | 8 |
I don’t like it | 20 | 20 |
It’s ok | 27 | 16 |
I like it | 29 | 48 |
I really like it | 7 | 8 |
SUMMARY - Only 36% of the people in the inner city liked or really liked living in the inner city but a huge 56% liked or really liked living in the suburbs
converted to percentages - as there were more respondents in inner than suburbs - to compare data
what sampling strategy was used for questionnaire
Stratified sampling to ensure respondents were asked in both locations
opportunity sampling - where a researcher selects participants based on their availability. One example would be standing on the street asking passersby to join the research.
Disadvantage of opportunity sampling: It may not be representative of the target population, potentially producing a sampling bias
what sampling was used for EQA
Stratified sampling - this is where areas are pre-selected based on desired criteria to ensure that there is an even number of samples from both areas.
sample represents the whole population
ADVANTAGES OF USING A BAR CHART TO SHOW DATA FROM QUESTIONNAIRE
Shows the different categories clearly and easily
allows us to compare the two study areas.
It is easy to get precise figures from the bar chart
DISADVANTAGE OF USING BAR CHART + HOW TO IMPROVE
Does not give locational context
so you could put the bars on a map of Tudno 1 and Tudno 2.
Advantages of EQA
very visual comparison of OVERALL environmental quality of each survey point
excellent locational context - as the proportional circles are on maps
Disadvantages of EQA
key is unclear - size of circle is perceptive
does not show how much each individual aspect made up overall score - building quality or noise
difficult to get exact figures from proportional circles
some circles are overlapping each other → hard to read
FINAL DESCRIPTION AND CONCLUSION
My hypothesis was that people would have a better quality of life in the suburbs than in the inner city.
Only 36% of the people in the inner city liked or really liked living in the inner city but a huge 56% liked or really liked living in the suburbs.
The EQA results do support this hypothesis. The average score for Tudno 1 (Inner city) was 34 and the average score for Tudno 3 was 41. EQA DATA
Larger circles indicating higher values tended to be found along the main roads near the shopping hubs which have benefitted from regeneration and investment and lower in more residential side streets. - GEOGRAPHICAL QUALITY OF LIFE EXPLANATION
EXPLAIN CONCLUSION
Quality of life was proven to be better in suburbs because:
Housing affordability: bigger houses, and newer buildings as the city centre is cramped with shops etc
Environmental quality: more green spaces, parks, less litter as less tourists
Traffic: less noise and air pollution due to less traffic in suburban areas
Less crime rate
Evaluation - PROS OF EQA
stratified sampling was good → as random sampling could have resulted in all or msot sample points in suburbs → not have given a good comparison
did take average to reduce anomalies
Evaluation - CONS OF EQA
based on looking around 4 streets - small sample size
subjective - based on opinions
our group was all female and teenagers - could affect answers: personal bias
Evaluation - cons of questionnaires
type of answers was vague, and the question was open
sample size was small and may not be representative of whole population - we did it on a school day while many people were at work so most of the sample was elderly.
affects the reliability - repeated sample another day, may get different results
we may have felt more comfortable approaching some people than others meaning our sample may not be representative.
Ideally we would like to have a stratified sample that matched the demographic profile of Llandudno but a high rejection rate makes this very difficult.
Burgess model
Blue area = CBD (central business zone) = lots of traffic, people
zone of transition
residential area - progresses from lower, middle and upper class = quieter, more green spaces
is based on the middle of the town or city being most expensive land then decreases as you move outwards
where there's better quality housing BUT less access to city/ more transport time = residential areas