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Samhällsfunktioners inverkan på bostadsrättspriser i Stockholm och stadens framtida utveckling
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematical Statistics.
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematical Statistics.
2017 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
How certain services and characteristics of Stockholm affect prices of condominiums and the cities future development (English)
Abstract [sv]

Denna rapport studerar hur vissa samhällsfunktioner påverkar betalningsviljan för bostadsrätter hos Stockholm stads invånare. Studien är begränsad till Norrmalm/ Vasastan med bostadsrättsförsäljningar under perioden 20 september 2016 till 17 mars 2017.

I rapporten presenteras relevant teori som ligger till grund för den metodik och resultat som studien resulterar i. Betalningsviljan modelleras med hjälp av multipel linjär regression där kvadratmeterpris används som responsvariabel.

Den slutliga modellen visar på signifikans för fyra olika samhällsfunktioner - avstånd till tunnelbana, sjukhus, grundskola och simhall. Modellen har en relativt låg förklaringsgrad vilket motiveras av att dessa faktorer, även om de är signifikanta, inte utgör någon större del i en persons köpbeslut.

Rapporten avslutas med en diskussion som leder fram till rekommendationer för Stockholms stad i framtida stadsplanering. Bland annat utbyggnad av tunnelbana och ett större fokus på lägenhetens interna faktorer så som storlek och antal rum förespråkas.

Abstract [en]

This report studies how certain services and characteristics of Stockholm affect the willingness of the city residents to pay for condominiums. The study is limited to Norrmalm/Vasastan with sales reported from September 20 2016 up until March 17 2017.

The report presents relevant theory, methodology, and results. The willingness to pay is modeled using multiple linear regression where the price per square meter is used as response variable.

The final model shows statistical significance of four different services and characteristics of Stockholm - distance to subway, hospital, elementary school and swimming pool. The model has a relatively low R2, which is motivated by the fact that these factors, although significant, do not constitute a major part of a person's purchase decision.

The report concludes with a discussion that leads to recommendations for the city of Stockholm in future urban planning. Among other things, subway development and a greater focus on a at's internal factors such as size and number of rooms are advocated.

Place, publisher, year, edition, pages
2017.
Series
TRITA-MAT-K ; 2017:08
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-210169OAI: oai:DiVA.org:kth-210169DiVA, id: diva2:1117117
Subject / course
Applied Mathematics and Industrial Economics
Educational program
Master of Science in Engineering - Industrial Engineering and Management
Supervisors
Examiners
Available from: 2017-06-28 Created: 2017-06-28 Last updated: 2017-06-28Bibliographically approved

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CiteExportLink to record
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