An Approach to Model House Rent for Cities: A statistical regression model and GIS based solution for Khulna city, Bangladesh - Tapa blanda

Hossain, Md. Imran

 
9783639164862: An Approach to Model House Rent for Cities: A statistical regression model and GIS based solution for Khulna city, Bangladesh
Tapa blanda
ISBN 10: 3639164865 ISBN 13: 9783639164862
Editorial: VDM Verlag Dr. Müller, 2010

Sinopsis

The factors or criteria associated with the sustainable and economically potential planning for housing are often ignored in the contemporary planning practices like zoning. House rent is depended on several criteria or facilities surrounded or related with it. It has been tried to explore those criteria and to develop a linear regression model that can explain the house rent for Khulna city. Vector base GIS software ArcGIS as well as statistical software SPSS has been used to build this spatial decision support model. The major finding of the study is a linear regression equation: Y = 881.06*X1 + 1290.24*X2+ 0.005*X3+ 9.211*X4 - 0.047*X5 - 0.174*X6 + 0.054*X7 ? ?. In the equation, Y represent house rent (In Taka) and X1, X2, X3, X4, X5, X6 and X7 represent number of room, building material (roof), land value, width of access road, distance of shopping center, distance of elementary school, distance of railway station respectively. With this model, the development authority as well as other public or private organizations can chose their site for housing considering the cost recovery and desired profit. The model could be used to predict the future house rent structure for a city.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

The factors or criteria associated with the sustainable and economically potential planning for housing are often ignored in the contemporary planning practices like zoning. House rent is depended on several criteria or facilities surrounded or related with it. It has been tried to explore those criteria and to develop a linear regression model that can explain the house rent for Khulna city. Vector base GIS software ArcGIS as well as statistical software SPSS has been used to build this spatial decision support model. The major finding of the study is a linear regression equation: Y = 881.06*X1 + 1290.24*X2+ 0.005*X3+ 9.211*X4 - 0.047*X5 - 0.174*X6 + 0.054*X7 ? ?. In the equation, Y represent house rent (In Taka) and X1, X2, X3, X4, X5, X6 and X7 represent number of room, building material (roof), land value, width of access road, distance of shopping center, distance of elementary school, distance of railway station respectively. With this model, the development authority as well as other public or private organizations can chose their site for housing considering the cost recovery and desired profit. The model could be used to predict the future house rent structure for a city.

Biografía del autor

Born in 1982 in Khulna, Bangladesh. Accomplish Bachelor degree in Urban & Rural Planning from Khulna University in 2005. Awarded KUPA best research award in 2006. From 2006 to 2009, serve many national and international organization as a GIS professional. In 2009, attain German DAAD scholarship for master study in Photogrammetry and Geoinformatics

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Editorial
VDM Verlag Dr. Müller
Año de publicación
2010
Idioma
Inglés
ISBN 10 
3639164865
ISBN 13 
9783639164862
Encuadernación
Tapa blanda
Número de páginas
104
Contacto del fabricante
no disponible
Persona responsable
no disponible