Literature DB >> 12317448

Land use and demographic change: results from fast-growth counties.

M Vesterby, R E Heimlich.   

Abstract

The authors analyze and compare two data sets on land-use change in U.S. counties with rapidly growing populations for the period from 1960 to the early 1980s. The results show that "the net effect of changing household numbers, household characteristics, and economic constraints on demand for land is likely to mean less conversion of land for urban uses in the future. Our studies showed that marginal urban land consumption remained nearly constant between 1960 and the early 1980s." excerpt

Keywords:  Administrative Districts; Americas; Comparative Studies; Counties; Demographic Factors; Developed Countries; Ecology; Economic Factors; Environment; Family And Household; Geographic Factors; Households--changes; Land Supply; Natural Resources; North America; Northern America; Population; Population Dynamics; Population Growth; Research Methodology; Spatial Distribution; Studies; United States; Urban Spatial Distribution; Urbanization--changes

Mesh:

Year:  1991        PMID: 12317448

Source DB:  PubMed          Journal:  Land Econ        ISSN: 0023-7639


  3 in total

1.  A regional approach to projecting land-use change and resulting ecological vulnerability.

Authors:  Laura E Jackson; Sandra L Bird; Ronald W Matheny; Robert V O'Neill; Denis White; Kristin C Boesch; Jodi L Koviach
Journal:  Environ Monit Assess       Date:  2004-06       Impact factor: 2.513

2.  Modeling change-pattern-value dynamics on land use: an integrated GIS and artificial neural networks approach.

Authors:  Erfu Dai; Shaohong Wu; Wenzhong Shi; Chui-Kwan Cheung; Ahmed Shaker
Journal:  Environ Manage       Date:  2005-10       Impact factor: 3.266

3.  Factors related to spatial patterns of rural land fragmentation in Texas.

Authors:  Michael E Kjelland; Urs P Kreuter; George A Clendenin; R Neal Wilkins; X Ben Wu; Edith Gonzalez Afanador; William E Grant
Journal:  Environ Manage       Date:  2007-06-28       Impact factor: 3.644

  3 in total

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