Secondary data: Maps & photographs: National Park website – honeypot towns Used an OS map to work out the study has certain characteristics such as lots area and split it up. of services and shops orientated for Took photos of the and the streets tourists. Traditional shops have had to to identify different shop types. adapt to these changes. Photographs of the town – this helped us to work out what kind of shops/services – there may be in Bakewell we could then split them into three different categories Risks: Description of method: Talking to people Getting lost bring a map and a phone to OS map – selected a study area ask for help Used systematic sampling to cover every Crossing roads hit by cars only cross are shop in the area selected zebra/pelican crossings Recorded the following building types: Tourist – used by only tourists Advantage of location: Mixed – used by both tourists and residents – to school collect more data Non-tourist used by residents only Honeypot town lots of tourist facilities Recorded the data in a using a tally easy to see tourism impact system Justify the method: Data presentation: Systematic sampling – so not to miss Pie chart buildings Good things: Easy to do Easy to draw individual pie chart Cover lots of Bakewell Simple to read The building uses will give us a clear idea We have three data-set which can be of how to tourism has economic impacts shown easily on the pie chart on Bakewell. Bad things: – Results: Hide to draw located pie charts quite time-consuming Data is in % so cannot see real number of the different building uses. Conclusion: Bakewell is has a lot of facilities for tourists – tourism is dominating the town. 56.5% is dominated by tourism. – Part1,2,3 mainly tourist buildings Part 4 – local buildings
Secondary data: National Park website – honeypot towns has certain characteristics such as lots of services and shops orientated for tourists. Traditional shops have had to adapt to these changes. Photographs of the town – this helped us to work out what kind of shops/services there may be in Bakewell – we could then split them into three different categories Maps & photographs: Used an OS map to work out the study area and split it up. Took photos of the and the streets to identify different shop types. Risks: Talking to people Getting lost bring a map and a phone to ask for help Crossing roads hit by cars only cross are zebra/pelican crossings Advantage of location: to school collect more data Honeypot town lots of tourist facilities easy to see tourism impact Description of method: OS map – selected a study area Used systematic sampling to cover every shop in the area selected Recorded the following building types: Tourist – used by only tourists Mixed – used by both tourists and residents Non-tourist – used by residents only Recorded the data in a using a tally system Justify the method: Systematic sampling – so not to miss buildings Easy to do Cover lots of Bakewell The building uses will give us a clear idea of how to tourism has economic impacts on Bakewell. Data presentation: Pie chart Good things: Easy to draw individual pie chart Simple to read We have three data-set which can be shown easily on the pie chart Bad things: Hide to draw located pie charts – quite time-consuming Data is in % so cannot see real number of the different building uses. Results: Conclusion: Bakewell is has a lot of facilities for tourists – tourism is dominating the town. 56.5% is dominated by tourism. Part1,2,3 – mainly tourist buildings Part 4 – local buildings
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