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Land use classification map.

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Introduction

Analysis Land Use Classification Map The land use classification maps for Blackpool shows that the most number of high order shops are in the centre of Blackpool. This links to the rates, as towards the centre the rates should increase, as it is a more prestigious location. As the hypothesis states it is a characteristic of CBD's to have lots of high order shops and medium order shops and few low order shops. The position of the high order shops are linked to the pedestrian density map as more people will want to visit the areas with high order shops so the density will be higher there. I predicted that in Blackpool the specialist shops will be in the centre of the town CBD but quite a lot of the specialist shops were in the frame, the tattoo salon for example. Also the shopping and environmental quality is linked to this, as the high order shops tends to be in areas with higher shopping and environmental quality values. The land use classification map of Lytham shows that there is a mixture of low, medium and high order centre which according to my hypothesis is a characteristic of a small town. This as with the Blackpool land use map is also linked to the pedestrian counts and the shopping and environmental quality values as the highest pedestrian density tends to be in the areas with high order shops as these are the best shops in the centre. ...read more.

Middle

This is linked to the shopping and environmental quality index value, as when the pedestrian density value increases the shopping and environmental quality value should also increase. Environmental and Shopping Quality Maps The shopping and environmental quality map for Blackpool is as I predicted with the exception of the area surrounding Talbot Road and Springfield Road. As I predicted, the values for both the shopping and the environmental quality increase as they get nearer the centre. This is shown on graph B2. It has a medium negative correlation. In most cases the environmental quality values and the shopping quality are within 10 or 12 of each other, which shows direct correlation with the exception of Talbot Road where the shopping quality value is 30 points more. The shopping and environmental quality map of Lytham also shows an increase as it gets closer to the centre with the exception of outside the library where the shopping quality value is 36 but the environmental quality is 60 which follows the trend. This is shown on graph L2. It shows weak to medium negative correlation, which means as the distance from the centre increases the environmental and shopping quality value decreases in most cases. In every case, except the outside the library the values are within 12 points of each other, which is the same as the values for Blackpool. The highest value for the shopping and environmental quality is in Blackpool, which I predicted in my hypothesis, as Blackpool is higher on the hierarchy. ...read more.

Conclusion

This is also as I predicted, as Blackpool is a high order centre. These are shown on graphs Q1 and Q2. These are linked to the distance people travelled as 32% of people travelled under 1 mile to Lytham and 37% bought food and drink which is as I predicted. If people spend more money they are more likely to use a credit card, as they won't have cash of say over �50. A higher percentage of people walked to Blackpool than to Lytham, which was not what I predicted, but the most popular mode of transport, was car. Also 10% of people travelled by coach to Lytham which was the same percentage that came from Somerset. This was because there was a coach trip from Somerset so these have affected by results. How people travelled to each centre is linked to the distance travelled, as people are not going to walk to a centre if they walk over a few miles away. A higher percentage of people in Lytham were going to visit a caf� or restaurant than in Blackpool. This could be because Lytham is a tourist town and they came for a day out. A higher percentage of people visit Blackpool frequently than they do to Lytham (graph Q3). This could be because people were on a day out to Lytham, as opposed to regular shoppers to Blackpool so I didn't predict this. This is linked to distance travelled, as people are unlikely to visit a place regularly if they live over 10 miles away. The sizes of Graphs Q 1,2,5,6 8, 9 are directly proportional to the square root of the number of services in the centre. ...read more.

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