Determinants of residential land-use conversion and sprawl at the rural-urban fringe

Carmen Carrión-Flores; Elena G. Irwin

doi:10.1111/j.0002-9092.2004.00641.x

Determinants of residential land-use conversion and sprawl at the rural-urban fringe

Carmen Carrión-Flores, Elena G. Irwin

Research output: Contribution to journal › Article › peer-review

207 Scopus citations

Abstract

We estimate a probit model of residential land conversion using parcel-level data from a rural-urban county in Ohio. Spatial landscape pattern metrics are used to quantify land-use patterns and to link patterns of residential sprawl with factors estimated to influence parcel-level land conversion. Findings indicate that the location of new residential development is influenced by preferences for lower density areas that nonetheless are close to existing urban development. Combined, these forces have generated a moderated pattern of residential sprawl. Spatial error autocorrelation is controlled using a spatial sampling technique that enables consistent estimation of the probit model.

Original language	English (US)
Pages (from-to)	889-904
Number of pages	16
Journal	American Journal of Agricultural Economics
Volume	86
Issue number	4
DOIs	https://doi.org/10.1111/j.0002-9092.2004.00641.x
State	Published - Nov 2004
Externally published	Yes

Keywords

Land-use change
Spatial error dependence
Urban spatial structure

ASJC Scopus subject areas

Agricultural and Biological Sciences (miscellaneous)
Economics and Econometrics

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10.1111/j.0002-9092.2004.00641.x

Cite this

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title = "Determinants of residential land-use conversion and sprawl at the rural-urban fringe",

abstract = "We estimate a probit model of residential land conversion using parcel-level data from a rural-urban county in Ohio. Spatial landscape pattern metrics are used to quantify land-use patterns and to link patterns of residential sprawl with factors estimated to influence parcel-level land conversion. Findings indicate that the location of new residential development is influenced by preferences for lower density areas that nonetheless are close to existing urban development. Combined, these forces have generated a moderated pattern of residential sprawl. Spatial error autocorrelation is controlled using a spatial sampling technique that enables consistent estimation of the probit model.",

keywords = "Land-use change, Spatial error dependence, Urban spatial structure",

author = "Carmen Carri{\'o}n-Flores and Irwin, {Elena G.}",

note = "Funding Information: Carmen Carri{\'o}n-Flores is Ph.D. student, Department of Economics and Department of Agricultural and Resource Economics, University of Arizona; Elena G. Irwin is assistant professor, Department of Agricultural, Environmental, and Development Economics, Ohio State University. This research was funded by the Ohio Sea Grant College Program, Project R/ME-25 under NOAA grant number NA86RG0453.",

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doi = "10.1111/j.0002-9092.2004.00641.x",

language = "English (US)",

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PY - 2004/11

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N2 - We estimate a probit model of residential land conversion using parcel-level data from a rural-urban county in Ohio. Spatial landscape pattern metrics are used to quantify land-use patterns and to link patterns of residential sprawl with factors estimated to influence parcel-level land conversion. Findings indicate that the location of new residential development is influenced by preferences for lower density areas that nonetheless are close to existing urban development. Combined, these forces have generated a moderated pattern of residential sprawl. Spatial error autocorrelation is controlled using a spatial sampling technique that enables consistent estimation of the probit model.

AB - We estimate a probit model of residential land conversion using parcel-level data from a rural-urban county in Ohio. Spatial landscape pattern metrics are used to quantify land-use patterns and to link patterns of residential sprawl with factors estimated to influence parcel-level land conversion. Findings indicate that the location of new residential development is influenced by preferences for lower density areas that nonetheless are close to existing urban development. Combined, these forces have generated a moderated pattern of residential sprawl. Spatial error autocorrelation is controlled using a spatial sampling technique that enables consistent estimation of the probit model.

KW - Land-use change

KW - Spatial error dependence

KW - Urban spatial structure

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Determinants of residential land-use conversion and sprawl at the rural-urban fringe

Abstract

Keywords

ASJC Scopus subject areas

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