Spatially Explicit Micro-Level Modelling of Land Use Change at the Rural-Urban Interface

Spatially Explicit Micro-Level Modelling of Land Use Change at the Rural-Urban Interface

AGRICULTURAL ECONOMICS ELSEVIER Agricultural Economics 27 (2002) 217-232 www.elsevier.com/locate/agecon Spatially explicit micro-level modelling of land use change at the rural-urban interface Kathleen P. Bell a,*, Elena G. Irwin b a Department ofResource Economics and Policy, 5782 Winslow Hall, University of Maine, Orono, ME 04469-5782, USA b Department ofAgricultural, Environmental, and Development Economics, Ohio State University, Columbus, OH, USA Abstract This paper describes micro-economic models of land use change applicable to the rural-urban interface in the US. Use of a spatially explicit micro-level modelling approach permits the analysis of regional patterns of land use as the aggregate outcomes of many, disparate individual land use decisions distributed across space. In contrast to the models featured by Nelson and Geoghegan, we focus on models that require spatially articulated data on parcel-levelland use changes through time. In characterising the spatially disaggregated models, we highlight issues uniquely related to the management and generation of spatial data and the estimation of micro-level spatial models. © 2002 Elsevier Science B.V. All rights reserved. Keywords: Spatial models; Land use change; Rural-urban interface; Land economics 1. Introduction Employment of a spatially explicit micro-level modelling approach permits the analysis of regional The ability to understand and predict changes in patterns of land use as the aggregate outcomes of land use patterns is necessary for policymakers con­ many, disparate individual land use decisions dis­ cerned with a variety of public finance, quality of tributed across space. Under this modelling frame­ life, and environmental protection issues. Changes work, an understanding of large-scale changes in land in land use patterns affect both human and natural use, such as urbanisation, start from a model of indi­ systems. Potential social and economic impacts of vidual land use decisions with a micro-level scale of changes in land use patterns include increased costs analysis. Estimation of such a model requires a variety of providing public services, loss of open space, and of spatially articulated, parcel-level variables, ranging increased congestion. Potential ecological impacts from the natural features ofland parcels (e.g. soil type, include loss of habitat, fragmentation of habitat, and slope, elevation) to locational characteristics (e.g. alteration of the hydrological regime. In this paper, proximity to amenities and disamenities) to regulatory we focus on the causes of land use change and de­ features that vary over space (e.g. zoning policies). scribe micro-economic models of land use change In what follows, we discuss the spatially disaggre­ applicable to the rural-urban interface in the US. gated, micro-economic models of land use change ap­ plicable to the rural-urban interface. Because we rely on a data rich environment to estimate these models, * Corresponding author. this approach is most applicable to the US and other E-mail address: [email protected] (K.P. Bell). countries (e.g. Canada) in which parcel-levelland use 0169-5150/02/$ -see front matter© 2002 Elsevier Science B.V. All rights reserved. PII: SO 169-5150(02)00079-8 218 K.P. Bell, E.G. Irwin/Agricultural Economics 27 (2002) 217-232 data are electronically recorded and tracked using a Hart (1995), displays the components of US rural pop­ Geographic Information System (GIS). In our discus­ ulation from 1910 to 1990. In 1910, the percent of sion of these models, we highlight issues uniquely re­ US persons living in rural areas and considered farm lated to the management and generation of large spa­ population was approximately 65%. By 1950, it had tial datasets and the estimation of parcel-level, land dropped to 37%. In 1960, it was approximately 25%, use change models. The remainder of this paper is di­ and in 1990, the percentage was approximately 6%. vided into four sections. Section 2 offers an overview However, due to a substantial increase in the non-farm of the public policy issues related to land use change population living outside incorporated places (from and the rural-urban interface in the US. Section 3 pro­ 18.5% in 1910 to 76% in 1990), the total rural popula­ vides an abbreviated description of economic models tion has remained relatively constant over this period. of land use change. Section 4 focuses on various re­ search issues related to spatial data, with particular 2.2. Public policy significance of land use change emphasis on data rich environments. Finally, conclu­ sions and suggestions for future research are presented Changes in exurban land use are interesting to in Section 5. economists because of the connections between in­ dividual economic choices regarding land use and the aggregate impacts of land use changes, includ­ 2. Rural-urban interface and land use change ing the various implications for public policy. As exurban areas develop, communities are faced with 2.1. Rural-urban interface in the US a variety of changes and trade-offs. For example, re­ search shows that the costs of providing local public The rural-urban interface refers to the "exurban" services is a function of the pattern of development portion of the landscape, defined here as those areas and the rate at which conversion of land to develop­ that fall beyond the outer-belt of a major metropolitan ment occurs (Altschuler and Gomez-Ibanez, 1993; area but within its commutershed.1 The rural-urban Burchell et al., 1998; Frank, 1989; Ladd, 1992). The interface begins where suburbs end and extends into environmental effects of changes in the spatial dis­ rural areas. In the US, significant changes in land tribution of land use on the ecosystem are many and use and population have recently occurred in the include the loss and fragmentation of wildlife habi­ rural-urban interface. Exurban counties accounted for tat and reduced water quality due to increased urban over one-fourth of total population growth from 1960 runoff. Lastly, changes in land use patterns can alter to 1990. By 1990, approximately 60 million people the aesthetics, dynamics, and sense of place of an (24% of the total population) were living in "exurbia" area. Changes in coillmunity attributes, such as loss in the US (Nelson, 1992) and evidence shows that this of open space and changes in the mix of residents, proportion increased substantially in the 1990s in cer­ are often viewed as costs by long-time residents of a tain regions of the US (e.g. Sharp and Reece, 2001). community (Porter, 1997). Many of these impacts are The US Department of Commerce defines a ru­ expressed in the form of externalities and therefore ral population as any population not living within lead to inefficiencies in land use pattern. For all these an urbanised area of 2500 population or more (US reasons, the ability to understand and predict changes Census Bureau, 1990) and therefore, most exurban­ in land use patterns is necessary for policymakers in­ ites are classified as rural. In the US, changes in the terested in achieving a vibrant local economy, while composition of rural population reflect the simulta­ also managing growth and maintaining the social and neous increase in exurban populations and decrease environmental resources of their community. in traditional rural populations. Fig. 1, adapted from The causes or drivers of land use change are nearly as diverse as the consequences. From an economics perspective, factors that affect the desirability of a 1 Various operational definitions of exurban have been offered in the literature (e.g. Nelson, 1992). The Oxford dictionary defines given location for residential, commercial, or some exurbia as a quasi proper name for regions outside the suburbs of other use are important determinants of the demand a city; exurbs collectively. for development and hence land use change. Location K.P. Bell, E.G. Irwin/ Agricultural Economics 27 (2002) 217-232 219 Components of U.S. Rural Population, 1910-1990* 70,000,000 ,..-----------------, Dother 60,000,000 +------.,=------:: IIIII Farm 50,000,000 • Incorporated Place 40,000,000 ~Taken from: Hart, J.F. "Rural and Farm No Longer Mean 30,000,000 the Same," in The Changing American Countrvside, E. 20,000,000 Castle (ed.}, University Press 10,000,000 of Kansas, 1995. 0 Source: U.S. Census of ~10 :§> ~10 ~ bl0 rol0 ;:\10 fbl0 PJI0 Population ~ ~ ~ ~ ~ ~ ~ ~ ~ Fig. 1. Components of US rural population, 1910-1990. decision models suggest that individuals and firms Itles (e.g. shopping, recreation, entertainment); the consider a variety of locational and land attributes spatial distribution of the provision of public services and recognise the trade-offs among these attributes. (e.g. sewer and water); natural features (e.g. rivers, When examining the demand for residential develop­ mountains, slope); surrounding land uses of an area; ment in exurban areas, the trade-off between lower and zoning policies and other growth management land prices and increased travel costs to an urban or policies that regulate the allowable density of develop­ suburban centre with employment and shopping op­ ment and control surrounding land uses. Just as total portunities often assumes a central role. For this rea­ demand for new growth responds to locational at­ son, increased accessibility to exurban areas (e.g. due tributes, so does the spatial distribution of this growth. to a new road building or changes to transportation The spatial pattern of new development is important networks) and the relocation of employers from cen­ because different patterns over space will result in tral city locations to suburban or exurban locations different social, economic, and ecological impacts. are major factors that determine land use changes This latter point is usually not accounted for in stud­ in the rural-urban interface. Rising housing prices ies of land use change that employ highly aggregated and/or tax rates in urban and suburban areas, as well areas as their observational units (e.g.

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