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Modeling land use change in the Bost...

Zhang, Ming.

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Modeling land use change in the Boston metropolitan region.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Modeling land use change in the Boston metropolitan region./
作者:	Zhang, Ming.
面頁冊數:	195 p.
附註:	Source: Dissertation Abstracts International, Volume: 61-07, Section: A, page: 2953.
Contained By:	Dissertation Abstracts International61-07A.
標題:	Geography. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9979873
ISBN:	9780599861466

Modeling land use change in the Boston metropolitan region.
Zhang, Ming.

Modeling land use change in the Boston metropolitan region. - 195 p.

Source: Dissertation Abstracts International, Volume: 61-07, Section: A, page: 2953.

Thesis (Ph.D.)--University of California, Berkeley, 2000.

The thesis seeks to contribute to the understanding of urban spatial structure by empirically investigating land use change in the Boston Metropolitan Region, for the period between 1971 and 1991. The key method of the research is to develop a number of econometric models to empirically test the significance and magnitude of various factors in order to explain the observed spatial transformation of land use types and identify major determinants of the underlying urban land market. It was demonstrated that the multinomial logit model is an appropriate modeling structure for land use, as it can be derived from conventional urban economic theories of bid-rent locations. Thus the study specified and calibrated a series of multinomial logit models of land use change which, for each observation unit, establish the relationships between various explanatory variables and the probability of the unit changing to a particular use during a later period. Both new development on previously vacant land and redevelopment on existing urban land were studied. The results reveal that while there are common factors significant for all types of land use changes, important differences exist between different types of land use change and also between new development and redevelopment. Comparison over time shows that whereas the effects of neighborhood land use characteristics had quite consistent impacts, the importance of access to central location and physical constraints weakened. The results suggest that, cautiously calibrated, the modeling framework can possibly be applied for other regions for simulation of land use changes.

ISBN: 9780599861466Subjects--Topical Terms:

524010
Geography.

Modeling land use change in the Boston metropolitan region.
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520 $a The thesis seeks to contribute to the understanding of urban spatial structure by empirically investigating land use change in the Boston Metropolitan Region, for the period between 1971 and 1991. The key method of the research is to develop a number of econometric models to empirically test the significance and magnitude of various factors in order to explain the observed spatial transformation of land use types and identify major determinants of the underlying urban land market. It was demonstrated that the multinomial logit model is an appropriate modeling structure for land use, as it can be derived from conventional urban economic theories of bid-rent locations. Thus the study specified and calibrated a series of multinomial logit models of land use change which, for each observation unit, establish the relationships between various explanatory variables and the probability of the unit changing to a particular use during a later period. Both new development on previously vacant land and redevelopment on existing urban land were studied. The results reveal that while there are common factors significant for all types of land use changes, important differences exist between different types of land use change and also between new development and redevelopment. Comparison over time shows that whereas the effects of neighborhood land use characteristics had quite consistent impacts, the importance of access to central location and physical constraints weakened. The results suggest that, cautiously calibrated, the modeling framework can possibly be applied for other regions for simulation of land use changes.
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