urban fieldwork Flashcards
(14 cards)
urban fieldwork question
to what extent does quality of life vary within kings cross?
secondary data sources
google maps, old photos showing that it used to be a coal dump, census data, right move data
we used this to specify the questions based on data already known and have targeted questions
also use this to target areas:
regenerated kings cross (high income, medium employment rate, white highest ethnic group) and Bremerton estate (white biggest ethnic group, little green spacer, lower income)
hypotheses, conclusion and evidence: EQS
hypotheses: regenerated kings cross will have a higher EQS score than Bremerton estate
evidence: there were 12 places under 46 in Bremerton estate and none in RKC. there were 19 over 70 scores in RGC and none in BE
conclusion: quality of life varies, RGK has a better quality of life than BE and Caledonian Road
data collection method: EQS
quantitative
method: we used a map and separated it into 3 sections with numbers, using a random number generator to chose one location in each section. we then rated every category based on 16 characteristics in the EQS survey out of 5 (general quality of area, building quality, quality of service, quality of traffic infrastructure). total out of 80
pros:
- random sampling removed bias
- stratified sampling allows relevant data
- easy, quick
- no resources needed
- lots of diff categories
cons:
- subjective
- may not apply to the area
data presentation and analysis: EQS
GIS located proportional symbols:
map symbols are shaded on a gradient to represent the value of the total EQS score in each location
can calculate mean EQS score - representative
conclusion supported by data
pros:
- can show multiple different sites on one map
- overall average of 1 area
- easy to read and see anomalies
- given average
cons:
- uneven amount on each site
- not in a specific area
hypotheses, conclusion and evidence: retail diversity index
hypotheses: coal drops yard will have a higher RDI than Caledonian Road
evidence: coal drops yard had an RDI of 0.9564 than Caledonian Road with and RDI of 0.78
conclusion: coal drops yard has a higher diversity of shops than Caledonian Road, so is more developed
data collection method: retail diversity index
quantitative
tally the uses of different shops in an area. divide all the tallies by the whole number of shops and square it. repeat this with all the shop types and add them together to find diversity
pros:
- easy
- comparable
- large sample size
- stratified sampling was good to achieve relevant information
cons:
- not very quick
- hard to tell what category to put a shop in and easy to get wrong
data presentation and analysis: retail diversity index
land use maps
letter codes are added to a street map with a key to see where different services are located, tallied to get an index score
average is taken - more representative
conclusion supported by data
pros:
- visual and easy to understand
- lots of different categories
- easy to compare
cons:
- doesn’t show other details (like prices)
- shops could be temporary
- could be too vague or specific for an area
- doesn’t show land use above a site
- quickly out of date
hypotheses, conclusion and evidence: photographs
hypotheses: we will see more green space, more cycle paths and more bins will be seen
evidence: more green space in RKC, paved roads, taller buildings, more lights, cleaner, less traffic
conclusion: RKC has a better cleanliness, safety and green spaces than BE or CR
data collection method: photographs
qualitative
we used a map and separated it into 3 sections with numbers, using a random number generator to chose one location in each section.
pros:
- easy and visual
cons:
- not much info
- not accurate representation
data presentation and analysis: photographs
annotated and geolocated photos
pros:
- specific areas
- more in depth
- captures quantitative non-numerical data
cons:
- can be biased
- need to explain
hypotheses, conclusion and evidence: questionnaire
hypotheses: RKC will have better quality of shopping, and quality of life for residents than BE and CR
evidence: 39% of people answered strongly agree to the statement ‘Quality of life for residents is better in RKC than BE/CR’
however 29% of people answered strongly disagree to the statement ‘community participation is better in RKC than BE/CR’
conclusion: although prices are higher and community participation is lower in RKC, it has a higher QOL than BE/CR
data collection method: questionnaire
quantitative
asked members of the public on Caledonian Road a range of questions (concerning QOL), comparing the answers to regenerated kings cross. no specific sampling strategy
pros:
- relevant to question
- easy to collect
- range of answers
- large sample size
cons:
- not representative of population
- questions can be interpreted differently
- biased
- some were unable to give answers
data presentation and analysis: questionnaire
100% stacked bar chart
pros:
- easy to read and see different comparisons
cons:
- can be difficult to read in depth
- harder to read than normal bar chart
- can’t see anomalies
