Urban fieldwork FINISHED Flashcards

(47 cards)

1
Q

What is a hypothesis?

A

A hypothesis is a statement that can be tested. It can therefore be proven or disproven using evidence.

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2
Q

What is our hypothesis?

A

The sustainable transport in Penryn, Cornwall is effective at reducing the towns eco-footprint.

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3
Q

What is an eco-footprint?

A

An eco-footprint measures how fast we consume resources and generate waste compared to how fast nature can absorb waste and generate resources.

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4
Q

What is sustainability?

A

Meeting the needs of people today without damaging future generations’ ability to meet their needs.

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5
Q

How can people’s personal choices be more sustainable and reduce the eco-footprints?

A
  • local food
  • Allotments
  • Recycling
  • Public transport/car sharing
  • Holidaying at home
  • Reducing energy consumption
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6
Q

How can the government promote more sustainable lifestyles?

A
  • promoting sustainable transport
  • Geothermal energy
  • Sustainable energy
  • Sustainable waste management
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7
Q

Sustainable transport in Penryn: bus services

A
  • buses roughly every half an hour
  • Diesel buses with some hybrid buses
  • Singles capped at £2
  • Penryn to Falmouth in 15 to 20 minutes
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8
Q

Sustainable transport in Penryn: Maritime Trainline

A
  • every half an hour
  • Reduce traffic and pollution
  • £3 return
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9
Q

Sustainable transport in Penryn: cycle schemes

A
  • 15p a minute, £1 to unlock
  • Exercise
  • 302 bikes in Cornwall
  • 44 bays in Penryn
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10
Q

Why do we complete a risk assessment?

A

To recognise the risks we might face, and put systems in place to mitigate them.

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11
Q

Example of a risk assessment:

A

Tripping or falling over:
- Where is suitable footwear
- Always walk on the pavement where possible
- Walking single file
- Pay close attention

Severity: 2
Likelihood: 3
Risk rating: 6

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12
Q

How did we present are traffic and footfall
count data?

A
  • compound bar chart
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13
Q

Why did we present are traffic and footfall data in this way?

A

Because it is discontinuous data.

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14
Q

How does this help us interpret our traffic and footfall data?

A
  • compare two different sites using area
  • Because it is compound, it makes it easier to compare
  • All the separate bars have the same scale, making it easy to compare
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15
Q

How did we present our environmental quality survey?

A

Radar graph

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16
Q

Why did we present our environmental quality survey data in this way?

A

It it is categoric data

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17
Q

How does this way of presenting help us interpret our environmental quality data?

A
  • shows individual scores as well as overall score (size of the Pentagon)
  • makes it easier to compare to locations of overall quality, but can also see variations between categories.
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18
Q

What was our secondary data collection method?

A

ONS: statistics on method of travel to work in Penryn neighbourhoods

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19
Q

Which neighbourhoods were included in our ONS data?

A

Kernick Road, Greenwood Road, Station Road, Market Street.

20
Q

Strengths of a secondary method:

A

Wider access to more data you will be unable to collect yourself. We can see trends and compare our secondary data to a primary data to see if they correlate.

21
Q

Weaknesses of secondary method:

A

We can’t be sure if it’s right and we don’t know why as we didn’t collect the data.

22
Q

What can we conclude from a secondary data?

A
  • there is a negative correlation as car access increases sustainable travel decreases. However, this is not a strong correlation.
  • It does not support our hypothesis, because only a small percentage of people travel sustainably.
23
Q

Which areas did we take our primary data in?

A

Kernick Road, Greenwood Road.

24
Q

What type of graph to be used to present a secondary data?

A

A scatter graph.

25
Why is this is suitable method of presenting our secondary data?
The data is continuous.
26
How does this help you interpret the secondary data?
You can see the correlation between the two sets of data and see them separately.
27
ONS data conclusions:
As far acces increases, sustainable transport decreases. Our hypothesis is wrong.
28
3 reasons why Penryn is a suitable location for fieldwork?
- Walking distance from school - safe, accessible, low speed limits - range of sustainable transport to look at such as bus, cycle lanes, train, pedestrians.
29
Primary data
‘First hand’, raw data that is collected individually or in a group in the field.
30
Secondary data
Information another person group or organisation has collected
31
Quantitative data
It’s all about numbers and statistics, you can practice through using different equipment or counts/tallies
32
Qualitative data
Is subjective and involves thoughts or opinions. For example, text/photos
33
Description of the method: traffic count
- At each site we counted: cars, bikes, buses, footfall, motor bikes. During the same five minute period. We put our results in a table.
34
Why did we collect our traffic count data?
- Evaluate which methods of transport are used most frequently in Penryn, and if sustainable transport is being used. Therefore we can work out the ratio of sustainable to non-sustainable transport.
35
What made the traffic count data reliable? (2)
- We collected it ourselves - Average from all of the class's data to make sure it's accurate
36
How could our traffic count method be improved?
- Bigger sample size: eg. different weather, time of day, time of year, day of the week.
37
Description of EQS method:
- Rated environment in number of categories (traffic, road surface, pavement, litter, street lamps, graffiti). Rated them from one to five (five=best). No time limit. Added them all together to find overall environmental quality.
38
Explanation of EQS method:
To see if there is a correlation between how the environment looks and what transport people use.
39
What made our EQS data reliable? (or not?) (3)
- We collected it - Lots in class so can find a mean - Very subjective, so results vary.
40
How could our EQS data be improved? (3)
- Perhaps make data more objective so we know it's not biased - Ask more people, calculate a mean (larger data set)
41
Description of ONS data collection method:
- Collected from ONS (Office for National Statistics) - Put our results into a grid. Categorised different types of transport into sustainable and non-sustainable. Worked out percentage of transport that was sustainable
42
Explanation of ONS data collection method: (why we did it?) (3)
- Wider access to more data to prove/disprove our hypothesis - Access to data we wouldn't otherwise have - Check reliability of our own data
43
What made our ONS data reliable? (3)
- They are from a wider data set, so more reliable - Up to date - Reputable source
44
How could our ONS data be improved?
- It's only for four roads, we could do it for all roads in Penryn!
45
What kind of data is our footfall data?
Primary, quantitive
46
What kind of data is our ONS data?
Secondary, quantitive
47
What kind of data is our EQS data?
Primary, qualitative