UNIGIS Abschlussarbeiten

Der krönende Abschluss eines UNIGIS MSc Studiums ist sicherlich die Master Thesis. Mit ihr belegen unsere MSc-AbsolventInnen, dass sie den akademischen Grad "Master of Science (Geographical Information Science & Systems)" zu Recht führen.  Im UNIGIS professional Studiengang muss keine Abschlussarbeit verfasst werden. Dennoch nehmen einige Studierende die Möglichkeit war, ein Geoinformatikprojekt durchzuführen und entsprechend zu dokumentieren.

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Christian Hürzeler [04-2012]:

Der Preis der Aussicht. Einsatz von 3D-Stadtmodellen und 3D-Sichtbarkeitsanalysen in einem hedonischen Mietpreismodell

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In real estate economics, price is considered a central statistic of residential property. In order to understand the real estate market as well as ist formation of prices, it is essential to have knowledge of the factors that determine prices, along with knowledge of their magni-tude of impact. This thesis examines the relationship between apartments’ characteristics and their rent prices, with a special focus given to the view. A second key aspect of this work is to identify data and methods for determining views which are best suited to an ap-plication in a real estate price model. A hedonic rent price model is formulated which mathematically relates the characteristics of an apartment to ist rent price. The hedonic price method ist based on the theory that rental prices reflect the tenants’ willingness to pay for particular utility-bearing apartment characteristics. The theory further suggests that for any two apartments that are identical in all but their views, these different views explain the variations in rental prices. The rental price model was estimated with a multiple regression analysis, using both market informa-tion and spatial data about apartment characteristics. View characteristics were computed in a GIS using line-of-sight and skyline analysis, as well as a new 3D viewshed analysis which is described in this thesis. Three 3D city models, each one having a different level of detail (LoD 0, LoD 1, and LoD 2), were used as spatial data for these computations. Using the City of Zürich as study area, it is demonstrated that apartment views have a sta-tistically significant influence on rent prices. Some specific examples of price-relevant view characteristics that lead to increased rents are: water view, mountain view, and view of his-torical buildings. Rents are further affected by the volume of sight and the diversity of a view (leading to increased rents), as well as by the visibility of industrial buildings (leading to reduced rents). The tenants’ willingness to pay for such view characteristics allows direct inferences about their preferences for views, and it explains their decision-making behavior during relocations. Moreover, the results of this study indicate that buildings play an impor-tant role when view obstructions are considered. The differing levels of detail of the 3D city models result in statistically significant differences in the computed views. Based on the estimation results, this study recommends 3D city models with a LoD 1 for computing views in hedonic real estate price models.

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