To examine the relationship between rateable values of commercial properties and pedestrian densities in Liverpool city centre, an area which has recently undergone regeneration.
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Why did we choose our location?
Liverpool has been recently regenerated - Became European Capital of Culture in 2008, as well as Liverpool One opening in May 2008. The location was also relatively easy to get to - good public transport links
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Why was our aim chosen?
We were interested in the effect regeneration had on population density and whether this had an impact on rateable values.
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How important was the theory?
Regeneration will have a significant impact on the number of people in an area - 'Honeypot zones' such as John Lewis, Debenhams likely to have higher footfall counts, and are also more likely to have the highest rateable values.
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How important was the location?
Liverpool One - key project developed due to the funds given by Capital of Culture 2008 - so very important in terms of regeneration. Wider scale - attempt to raise the economic vitality of the North, known to be less economically developed.
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Describe and justify your risk assessment.
Identified: public safety (be careful of strangers, always remain in a well lit crowded place, be close to shelter incase whether conditions change, sensible clothing ect), road safety (always cross at lights, common sense)
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Justify a method of collecting data (footfall)
Counting people: Selected locations before hand, those we believed would show disparity to gain a good spread of results, allowed us to utilise local knowledge and cartographic skills - produced a map to present locations
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Why did we choose to use 5 minute intervals for footfall?
Simple - less likely to make human error. Allows us to sample multiple sites around the same time, more accurate as all values will be taken around the same period where external conditions should remain constant.
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Justify a method of collecting data (rateable values)
Emailed Liverpool City Council - gathered secondary data which we could then manipulate and use it to plot against footfall. Respected organisation so data is likely to be up to date and reliable.
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What improvements would you make?
Different times of day - get a greater spread of values to improve accuracy. Repeat readings on different days in same location. Look for other sources of secondary data - see if they match to councils, improve reliability.
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How did you use your method of data presentation?
Table - allowed us to produce scatter graph which shows correlation, line of b.f. Colour graph map with intensity for rateable value against pedestrian density. Proportional circles - 1mm = 100 people
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What were the strengths of data collection?
Scatter graph - allows statistical analysis, visual and clear representation, spot anomalies easily. Chloropleth - straightforward to read, visual. P. circles - accurate, shows relationship clearly
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What were the weaknesses of data collection?
Scatter graphs - complex to construct, extreme anomalies can alter the whole graph, limits accuracy. Chloropleth - colours often merged, not as precise, data had to be grouped, easy to make mistakes. P.circles -more complex to produce, errors likely
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Evaluate the success of the investigation in the light of the aim
Hypothesis accepted, statistically significant, r value of 0.76 (excluding anomaly - with=0.54) - Successfully shows positive relationship. Anomaly=Primark (deal w/ rateable value? Time of day?) S. data for footfall from L.pool vision matched p.data
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What did we learn from this study?
Gained understanding on what rateable values are - discovered about deals companies can make with property owners on r.v. Discovered which type of people use cities at which time of day. Now know about management systems e.g. Liverpool Vision
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How did theory influence our aim?
Theory was rateable values are directly positively correlated - we used this to measure the success of the investigation, did this match the theory? Anomalies were based on the assumption of this theory
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How can it be further investigated and developed?
Different times - accounts for all types of people, not just those commuting/early shoppers. Questionaiire - ask directly why they are there, quantitative data. Go when public transport in full working conditions, trains weren't running, effected
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In what ways would your conclusions be useful to other geographers?
Can use it to compare to ours if they do it at different times, can use our data like we used L.pool city council and L.pool vision, however ours not as reliable/accurate, not as useful as more sophisticated organisations may be
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Other cards in this set
Card 2
Front
Why did we choose our location?
Back
Liverpool has been recently regenerated - Became European Capital of Culture in 2008, as well as Liverpool One opening in May 2008. The location was also relatively easy to get to - good public transport links
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