geography f764 - skills CBD investigation
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- Created by: charlie
- Created on: 21-02-15 15:03
Stage 1 - identify a suitable hypothesis
Alternate hypothesis
'How and why do rateable values, pedestrian counts nad land-use vary with distance from the PLVI within Ipswich's CBD'
- 'Pedestrain flows decrease with distance from PLVI'
- 'Rateable values decrease with distance from PLVI'
- 'Land-use changes with distance from PLVI with an increase in % of convenience stores'
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factors that influenced choice of investigation
BROAD TOPIC
- Teachers input on practicality / feasibility
- CBD - urban change + structue of urban areas
LOCATION (Ipswich)
- easy access / no cost / few hazards / local knowledge
- lots of variables to test
EXACT SITE AREA (Goad)
- primary + secondary shopping / including PLVI
- suitable scale / testable area
HYPOTHESIS
- geographical theories - BID RENT / THRESHOLD POPULATION / DISTANCE DECAY
- SMART
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Stage 2 - develop plan - RISK ASSESSMENT
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location
GOAD
- covered sensible range size for data collection + suitable detail scale
- covered primary + secondary shopping areas
- doesnt show zone of advancement south
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data
PRIMARY - PEDESTRAIN FLOWS
- 30 selected sites - reliability + accuracy (representative)
- point data
- both directions, just walking, for 2 mins
PRIMARY - LANDUSE
- whole goad
SECONDARY - RV
- 30 to keep data comparable + accurate
- Valuation Office Agency Site
SECONDARY:
- GIS / teacher / text books / stat tests / RV / theories / hypothesis
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pilot study
- test resources / equipment + adjust
- pre test data collection methods (sampling frames)
- see if it can be done in given time + location
- identify hazards / problems
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sampling methods
PEDESTRIAN FLOWS
- point
- 30 sites
- systematic / pragmatic
LAND USE
- no sampling frame
RV
- point
- 30 sites
- systematic - comparable
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accuracy + reliability of collection
RELIABILTY
- only 30 sites
- sytematic - bias
- counts at different times of the day
- no repeat
- only 2 minutes
ACCURACY
- pedestrian flow count - human error
- land use - not every building in each class
- weather
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Stage 3 - collect and record data - RV
- postcode of sites entered onto Valuation Office agency website
- of 30 buildings (comparable to Pedestrian flows)
- systematic - even spread
- Goad maps to find distance frm PLVI
LIMITATIONS
- secondary data (cannot be certain of validity)
- standardised so size will not affect
- not all adresses had RV
- ruler used on Goad map - HUMAN ERROR
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pedestrian flows
- primary - reliability
- 30 sites as respresents statistical population, acheivable, statistically tested
- systematic - evenly covered at every 8th building
- ensure DISTANCE tested - 4 groups
- 2 minutes of recording
LIMITATIONS
- systematic - bias
- counting spread out over 1.5 hours
- perpendicular streets to PLVI - unsure if going to or away from PLVI
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land use change with distance
- primary data - classification index (incl. comparison + convenience)
- pilot study - whole statistical pop. of Goad could be covered + hazards identified
- groups 1-9 including primary and secondary shopping areas
- including PLVI + 'GOLDEN MILE'
- including Westagate st, Tavern st, Carr st
- split Goad into 4 sections for each group
LIMITATIONS
- tough to classify each building
- larger stores could be both department and comparison
- Goad map created in year 2000 - now new buildings + shops (e.g. end of princess street estate agents + pub)
- Goad map created in year 2000- buildings knocked down
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stage 4 - presenting data - RV
CHLOROPLETH MAP
- visually display RV of 30 buildings
- categories chosen evenly across range of RV
- chose 6 categories
- 'no data' category created
- simple + made good use of available resources
- light to dark shade depending on value
- each areal unit concealed + abrupt changes
SCATTER GRAPH
- present in relation to distance
- distance was independent variable and RV were dependent variables
- simple and showed basic correlation
- see if stat. test should be carried out
- only suggests trend with no figure
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Pedestrian Flows
ISOPLETH MAP
- easy to construct and pick out surface trends
- data added to isopleth, so no abrupt changes
- colouring scheme of light and dark for low and high values
- 3 classes to keep simple and effective
SCATTER GRAPH
- to test distance with pedestrain flows
- clearly show points and how close to line of best fit
- examines relationship between 2 variables
- estimate correlation to see if further stat. tests need to be carried out
- anomalous points skew data
- 30 is max as becomes confusing
- only relationship between 2 variables
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land use change with distance
DIVIDED BAR CHART
- used to show the 9 variables (classes) on each bar - so hypothesis can be tested
- created new index - removed grey areas in defining buildings - reducing HUMAN ERROR
- each bar was 0-100m of 300m section (3 bars)
- simple and allowed enough comparison
- could have been split into more for more accuracy (would have been tougher)
- coulour scheme allowed visual representation
- data recovered for stat tests
- could have used 3 pie charts instead (visual comparison and % for stat analysis)
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stage 5 - analyse and interpret data - RV
CHLOROPLETH MAP
- mulitple sites along 'GOLDEN MILE' are highest rate even with increasing distance
- outside this rates drop off suddenly
- supports hypothesis once passed Westgate St + Tavern St
SCATTERGRAPH
- correlation overall supports the hypothesis - trend line
- Westgate (highest) UPPER ORWELL /CARR (lowest
anomalies
- Tower Ramparts - bus stops - main entrance
- St Matthews St - not pedestrianised - rapid decline
STAT TEST
- -0.5 - 99% confidence level therefore can be very sure that sample is representative of total statistical population and isnt due to chance
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Pedestrian Flows
ISOPLETH MAP
- 'GOLDEN MILE' has more of an inflence on pedestrain flows rather than single PLVI point
- rapidly declines around golden mile
- different comparison shops and access points (car parks) affect p.flows
SCATTER GRAPH
- negative correlation supports hypothesis
- -0.46 passing significance test at 95% confidence level
- time and p. flows has 0.329 passing significance test at 90% level (had some affect)
- RV + p.flows has 0.897 passing at 99% confidence (strong relationship)
ANOMALIES
- low - St. Matthews st - west of PLVI - not pedestrianised
- high - Tavern St. + PLVI - 'GOLDEN MILE'
- tower ramparts - vacant stores + redevelopment
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land use change with distance
DIVIDED BAR CHART
- overall with distance from PLVI % comparison stores did decrease and % convenience increased
- 0-200m comparison increased a bit, then rapidly decreased 200-300m
- 0-200m convenience decreased to 0, then rapidly increased 200-300m
DIVERSITY INDEX
- a stat. test that allowed us to see diversity increase with comparison stores, showing lower % of that store with increasing distance
VACANCY RATE - Upper Orwell - 0.529 = zone of discard + very low retail land value
ANOMALIES
- unexpected high value between 100-200m for comparison stores due to location along 'GOLDEN MILE' is close to Tower Ramparts + walkway to Buttermarket
- size of comparison store affected count - 1 big one will look less than lots of small
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stage 6 - conclusion - RV
- decline with distance
- support BID RENT + DISTANCE DECAY - 99% confidence level
other factors
- west of PLVI - not pedestrianised
- values affected by who is resposible - owner occupied / reapirs / insurance
- not standardised values used - building size had a MASSIVE effect
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Pedestrian Flows
- accept alternative hypothesis
- negatove correlation with 95% significance
OTHER FACTORS
- time positive correlation 90% confidence (only measured over 1.5 hr period)
- RV poistive correlation 99% confidence - larger buildings higher RV (not standdardised)
- routed distance would have produced stronger relationship over straight line
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land use change with distance
- accept alternative hypothesis
- general trend that compaison stores do decrease with distance from PLVI
- GOLDEN MILE has most comparison - higher THRESHOLD POPULATION
- DISTANCE DECAY - as vacant stores increase
OTHER FACTORS
- TOWER RAMPARTS - caused higher surrounding of comparison - access point to other shops
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