Relationships between locations vs building characteristics on serviced apartment rent : Bangkok CBD studies
Relationships between locations vs building characteristics on serviced apartment rent : Bangkok CBD studies
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2006
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Assumption University
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eng
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application/pdf
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Assumption University. Martin de Tours School of Management and Economics
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AU Journal of Management 4, 2 (July-December 2006), 20-31
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Abstract
This research investigates and compares relationships between both locations and building
characteristics on rent of apartments and serviced apartments. The 3 case studies investigated are in
Bangkok CBD (Central Business Districts). Instead of using focused analysis on either location or
buildings with mass data analysis, the study applies case studies which allow the benefit of cross
investigation of both factors. The results show that to judge for rents, one cannot use either location or
number of amenity types alone. Moreover, there is a need to c9nsider maintenance, conditions,
buildings, and atmosphere of buildings at different price level as factors that can have influence on rent.
This research investigates and compares relationships between both locations and building characteristics on rent of apartments and serviced apartments. The 3 case studies investigated are in Bangkok CBD (Central Business Districts). Instead of using focused analysis on either location or buildings with mass data analysis, the study applies case studies which allow the benefit of cross investigation of both factors. The results show that to judge for rents, one cannot use either location or number of amenity types alone. Moreover, there is a need to c9nsider maintenance, conditions, buildings, and atmosphere of buildings at different price level as factors that can have influence on rent.
This research investigates and compares relationships between both locations and building characteristics on rent of apartments and serviced apartments. The 3 case studies investigated are in Bangkok CBD (Central Business Districts). Instead of using focused analysis on either location or buildings with mass data analysis, the study applies case studies which allow the benefit of cross investigation of both factors. The results show that to judge for rents, one cannot use either location or number of amenity types alone. Moreover, there is a need to c9nsider maintenance, conditions, buildings, and atmosphere of buildings at different price level as factors that can have influence on rent.
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In English ; only abstract in English.
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