An Approach to Model House Rent for Cities: A statistical regression model and GIS based solution for Khulna city, Bangladesh - Brossura
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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.
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L'autore
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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An Approach to Model House Rent for Cities
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ISBN 10: 3639164865
ISBN 13: 9783639164862
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hossain Md. ImranBorn 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 internatio. Codice articolo 4963283
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An Approach to Model House Rent for Cities : A statistical regression model and GIS based solution for Khulna city, Bangladesh
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783639164862
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Taschenbuch. Condizione: Neu. An Approach to Model House Rent for Cities | A statistical regression model and GIS based solution for Khulna city, Bangladesh | Imran Hossain | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639164862 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 107282964
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An Approach to Model House Rent for Cities: A statistical regression model and GIS based solution for Khulna city, Bangladesh
Editore:
VDM Verlag Dr. Müller, 2010
ISBN 10: 3639164865
ISBN 13: 9783639164862
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