Land Use Classification Map

The land use classification plays for Blackpool interprets that the most subdue of lofty social club shops be in the heart of Blackpool. This links to the rates, as towards the focus the rates should increase, as it is a much prestigious location. As the hypothesis states it is a characteristic of CBDs to bring forth lots of utmost coiffure shops and medium straddle shops and few low put together shops. The position of the high club shops atomic spell 18 tie in to the prosaic dumbness stage as more race leave want to visit the atomic number 18as with high order shops so the density will be high(prenominal)(prenominal) on that point.I predicted that in Blackpool the specialist shops will be in the centre of the town CBD only when quite a lot of the specialist shops were in the frame, the tattoo beauty salon for example. Also the shop and environmental gauge is linked to this, as the high order shops tends to be in beas with higher shop and environmental lineament determine. The land use classification map of Lytham renders that on that point is a mixed bag of low, medium and high order centre which according to my hypothesis is a characteristic of a sm only town. This as with the Blackpool land use map is similarly linked to the commonplace counts and the shopping and environmental type jimmy as the highest earthbound density tends to be in the bailiwicks with high order shops as these be the best shops in the centre.Shop BreakdownAs number S1 shows, the highest function of high order shop for Blackpool argon in the centre and south zones. This is linked to the pedestrian and shopping and environmental reference scores, as the highest of these scores are in the centre and south zones. The northwest and east zones fox the highest circumstances of vacant shops which besides links to the shopping and environmental score because if there arent any shops there the shopping calibre score will be low. If the environment al timber is low, muckleinesses will less(prenominal) likely want to purchase property so they will hang in vacant.This is to a fault linked to the pedestrian density as if there arent many shops there they will non shop there. All of the zones have approximately the same fortune of medium order services. This is because Blackpool is a medium to high order centre and the medium order shops are likely to be in any area as they get make more profit as they are medium order services so can afford better locations. Also more national businesses are medium and high order so can afford sites in the centre, whilst independent businesses may only be able to afford little sites in the frame of the CBD. This is linked to rates, (see fig B3 and analysis of it).As fig S2 shows Lytham has roughly the same luck of high and medium order shops which was non what I predicted in my hypothesis but has a higher percentage of low order shops than Blackpool which I predicted in my hypothesis. I predicted that the low order centres would more convenience stores than a high order centre, which is correct in this study but I excessively predicted that the higher centre would have a higher percentage of specialist shops which it didnt as they both had homogeneous percentages. Blackpool has a higher percentage of vacant shops than Lytham.This could be because there are 7 times as many shops in Blackpool as there are in Lytham so there may be a lour demand for them if they are in the frame of Blackpool CBD. As figs S3 and S4 show Blackpool has more variety of shops due to its size but similar percentages of fit out shops, cafes and electronic shops. Lytham has a higher percentage of gift shops and restaurant. This could be because quite a little travel to Lytham, as it is a quiet seaside town and they thus eat at the restaurants and buy gifts at the gift shops. As graphical records S3 and S4 show the radius of the pie charts are directly proportional to the square calm of the number of services.Pedestrian Density MapsThe pedestrian density map of Blackpool shows that the highest value of pedestrian density is in the centre of Blackpool. This is a characteristic of any centre. The merely away from the centre the lower the pedestrian density should be which the exemplar for Blackpool is on this particular day. This is shown on graph B3. This shows that pedestrian count against distance form the town centre as medium to strong contr overt correlation, which government agency in most cases as the distance from town centre decreases, the pedestrian count increases.The pedestrian density map for Lytham besides shows that the highest pedestrian density is in the centre and the further away from the centre the lower the density should be. This is shown on graph L3. It shows that pedestrian count against distance from the centre has medium negative correlation. Also the highest pedestrian density for Blackpool is higher than that of for Lytham which I stated in my hypothesis as Blackpool is higher up the hierarchy than Lytham. This is linked to the shopping and environmental character index value, as when the pedestrian density value increases the shopping and environmental quality value should also increase.Environmental and Shopping Quality MapsThe shopping and environmental quality map for Blackpool is as I predicted with the exception of the area surrounding Talbot Road and capital of Illinois 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 severally 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 exc eption of outside the program subroutine 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 apiece 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.These values are linked to the land use classification map, as the higher shopping quality values are in the centre where more high order shops and services are. This is shown on graph B1 for Blackpool as it shows rates per metre frontal against environmental plus shopping quality value. This shows low to medium positive correlation, which means in s ome cases as the environmental plus shopping quality value increases the rates per metre frontage also increase. chart L1 for Lytham shows that for Lytham, rates per metre frontage are not at all linked to environmental plus shopping quality, as the graph shows no correlation. Also the pedestrian density is linked to this as the pedestrian density is usually higher where the shopping and environmental quality values are as masses want to be in an area with sweet surroundings and lots of good quality shops, which in most cases are high or medium order.Parking RestrictionsThe whole of Blackpool centre allows no parking unless you pay for the Hounds Hill car park. All the area is reiterate yellow lines. There are a few locomote ranks and bus stops, but around half of the centre is pedestrianised. This is linked to the pedestrian count, as there is a higher pedestrian count in the pedestrianised areas. It is also linked to environmental quality value, as the value is likely to be h igher if there is a pedestrianised area. For Lytham the area is split half-and-half with two-bagger yellow lines and restricted free parking. There is a small taxi rank and some bus stops.Shopping QuestionnairesI predicted that there were to be a higher percentage of younger to middle aged great deal in Blackpool. This was true for the sample we took for Blackpool, as 5% were under 20, 20% were 21-30 and 21% were 41-50. For Lytham I predicted that there would be a higher percentage of older people. This was also true as 35% were over 60 but there were also more young people as 20% were under 20%, which I didnt predict. These percentages are shown on graphs Q5 and Q6. This is also linked to the distance people are prepared to travel as older people will want to travel less distance.It is also linked to the frequency of visit as older people will visit the centre more frequently as they usually have more time than middle aged people. The distance travelled to each centre is shown on graph Q4. It shows that the same percentage of people recognize in the immediate area, but a higher percentage of people from Blackpool travelled less than a mile, again a higher percentage of people asked in Blackpool between 1 and 5 miles but a higher percentage of people asked in Lytham travelled between 6 and 10 miles and also over 10 miles. This is also shown on graph Q10.I did not predict this in my hypothesis as I expected people would travel further to visit Blackpool, as it is a high order centre and should have a larger catchment area than Lytham. The catchment areas for Blackpool and Lytham are shown on maps. These show quiet clearly that more people travelled from a smaller distance to visit Blackpool than they did for Lytham. A higher percentage of people were in Lytham to buy food and drink than there were in Blackpool. This was what I expected, as it is lower on the hierarchy. A higher percentage of people bought clothes and footwear, expensive items and household i tems in Blackpool. 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 acknowledgment card, as they wont 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 best-selling(predicate) mode of transport, was car. Also 10% of people travelled by trail 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 deprivation 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 didnt 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.