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Mathiasson, Daniel, 2010. Landskapskaraktärsanalys som verktyg för hållbar byutveckling - exemplet Flädie . Second cycle, A2E. Alnarp: SLU, Landscape Architecture (until 121231)

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Abstract

There are numerous questions to be asked when your task is to plan a small community’s future development. Is it possible to suggest something new and modern? What considerations should be taken concerning the existing situation? What is an appropriate size for the new development? Where is it possible to build and what is the most appropriate method to use?
In this master´s thesis I have tried to develop and describe a working-process where I execute a complete landscape character analysis for the whole community in question to get the answers to where and how it would be most appropriate to develop a village like Flädie without destroying its current character.
Flädie is a typical small village in the countryside of Skåne, Sweden. It is strongly effected by the expansive and urban region it’s located in but is still rural in character. Even though almost every village and urban district in the surroundings are, and have been, developing at a strong rate, the development of Flädie has been standing quite still for the past few decades. One reason for that is that the municipality of Lomma is waiting for passenger-trains to restart on the railroad that passes through the village. When that happens, they have plans to build a ”park and ride” station in Flädie that will become the main factor for a rising need of more dwellings, a need which they then want to fulfill.
Since Flädie is a very old village that hasn´t changed much during the last 40-50 years, there is a lot of old and cultural-historical valuable elements to take under consideration if they are thinking about adding and build something new. Flädie is also considered to be the last place in the municipality of Lomma that still has the character of an old countryside-village. To keep that feeling, future development must be slow and deliberate.
By doing this rigorous analysis before planning the new development I would like to show a new way to deal with an otherwise typical planning-situation like this one. I combine parts from two already existing analysis-methods to my own method. This method is mostly build up from a British landscape character assessment, LCA, and supplemented with parts from a Norwegian analysis-method. The result from the analysis ends in a judgment and ranking of the different characters in Flädie and the most suitable development-areas.
To find and document all the different characters and also to judge which ones are the most important to preserve becomes the basic condition in the process to make sure that what you suggest will fit well and will not destroy the village-feeling you’re aiming to keep.
In the end of this thesis I have tried to take it a step further and suggest three different development-proposals that I have derived from my analysis-results. This will hopefully be of help to show the importance and usefulness of a well executed character-analysis in a planning-situation when the aim is to suggest a sustainable village-development.

Main title:Landskapskaraktärsanalys som verktyg för hållbar byutveckling - exemplet Flädie
Authors:Mathiasson, Daniel
Supervisor:Larsson, Anders
Examiner:Lindholm, Gunilla
Series:Självständigt arbete vid LTJ-fakulteten, SLU
Volume/Sequential designation:UNSPECIFIED
Year of Publication:2010
Level and depth descriptor:Second cycle, A2E
Student's programme affiliation:LY002 Landscape Architecture Programme, Alnarp 300 HEC
Department:(LTJ, LTV) > Landscape Architecture (until 121231)
Keywords:Flädie, bykänsla, landskapskaraktärsanalys, Landscape Character Assessment, Thomas Thiis-Evensen, ortsanalys, delområde, klassificering, bykaraktär, riktlinjer, utbyggnadsförslag
URN:NBN:urn:nbn:se:slu:epsilon-4-229
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-4-229
Subjects:Landscape architecture
Rural population
Language:Swedish
Deposited On:26 May 2010 06:04
Metadata Last Modified:20 Apr 2012 14:13

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