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Field Study-Kidderminster - change in Pedestrain numbers closer to the CBD

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Introduction

Field Study-Kidderminster Introduction My investigation took place in Kidderminster. Kidderminster is a town in the Wyre Forest district of Worcestershire, England. It is located approximately twenty miles southwest of Birmingham city centre and has a population of 55,182 in the town. Kidderminster is famous for carpet weaving, there are still large warehouses, many of which are disused and found in the city centre and on outskirts. Map shows Kidderminster in relation to Birmingham. The highlighting shows the route we took to get to Kidderminster The town centre area has undergone significant redevelopment in recent years, with the commercial retail area of Weaver's Wharf, which has been redeveloped and now includes shops, restaurants and a college. It attracts many visitors and shoppers. Slingfield Mill, which has been remodelled into a retail area and incorporated into Weavers Wharf has created a large shopping area. We have chosen Kidderminster to study for our project because it is fairly close to our school, and is small enough to surveyed in a day. Because Kidderminster is not part of the West Midlands conurbation it is therefore not subject to any of the other factors which could make our survey unreliable. These factors could be proximity to major shopping locations such as Merry Hill and Birmingham, which would affect the number of pedestrians found in the central business district (CBD) of Kidderminster. Objectives for the study: 1. The first is to observe the varying pedestrian numbers in Kidderminster. This is to see if the land use has any affect on the number of pedestrians. ...read more.

Middle

An area, which was very clean and had aesthetically pleasing buildings, with safe crossing points and almost all or all of the buildings were in use would score very highly. On the other hand an area where it was dangerous for pedestrians to cross, the buildings and surroundings were dirty or unsightly and there was a high number of unused or abandoned vacant premises would score low. The 'Environmental Quality Score Sheet' showing the tables for shop quality and environmental quality. It was very important that I filled this in as soon as I reached a new survey point. We scored the shop quality of each survey point in a similar manner to the environmental quality. Shops were scored in; types of shop, land use groups and retail organisations and this was scored on a scale form 0-5. A survey point with many big department stores selling high and mid order comparison goods (larger, more expensive items bought less frequently) would score high, as opposed to an area without a shop, or an area with a shop only selling convenience goods (cheaper items, necessities, bought very often, e.g. food, paper etc). Both of these surveys were given a total mark for each transect point. The environmental score survey was done as soon as we reached a new transect point. It was done to help me see the difference between land uses, as we got further towards the CBD. To keep the survey fair and reliable to achieve accurate results I must use the same uniform standard of marking for every transect route that I surveyed. ...read more.

Conclusion

Graph 4 includes shop quality into the mix. It shows how as the quality of shops increases a greater number of pedestrians are present. It also shows how there are a greater number and quality of shops closer to the CBD. An example of this trend is at N1 there are no pedestrians and no shops, at N6 there are 16 pedestrians and a total shop quality score of 10.5 and finally at N10 there are 106 pedestrians and a shop quality of 15. This proves that pedestrian numbers increase with shop quality. This graph shows the links between shop quality, pedestrian numbers and distance from CBD. It shows that the best and most diverse shops are located in the CBD and many pedestrians are present in the CBD. This helps me to conclude that the CBD is usually an area with many high order shops and the pedestrians are attracted to these features. This graph follows this pattern because, as stated in my hypothesis, pedestrians are attracted to a large number of high order shop selling comparison goods and large department stores. These shops are generally found in the CBD, so the overall pattern is that pedestrians are gathered at the CBD, to visit the department stores. This patter is typical for most CBD's. During our investigation, some of the results we gathered were anomalies. The main reason to explain this is that there was very heavy rain, and some area had indoor areas, or roofs in open area, where many people stayed to escape the heavy rainfall. If there were no weather complication, I would expect more streamlined results, following the trend more closely. Shohib Tariq ...read more.

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