The number of public participation GIS (PPGIS) applications to inform local and regional land, use planning has increased significantly over the last decade. An important rationale for undertaking, participatory mapping is to anticipate and identify areas of potential land use conflict. To date, there, has not been a systematic evaluation of methods for identifying land use conflict potential with PPGIS data. This study uses data from a regional planning study in Australia to describe and evaluate alternative methods for identifying land use conflict potential. A simple, two dimensional model of land use conflict is presented and operationalized with spatial data to provide a heuristic device for regional land-use planning practitioners. Land use conflict is posited to derive from differences in landscape values and land use preferences that can be formulated into different conflict indices and presented in maps. We demonstrate application of the conflict mapping model using residential and industrial development in the region as examples. The spatial distribution of landscape values, values compatibility scoring, land use preference differences, and a combined values and preferences scoring index are all viable methods for identifying and mapping the potential for land use conflict. The preferred method for assessing the potential for land use conflict is one that integrates two dimensions: land use preference directionality (supporting or opposing) and the importance or intensity of landscape values. We discuss the strengths and limitations of each conflict mapping method.

Item Type:	Refereed Article
Keywords:	conflict mapping, development, land use planning, landscape values, PPGIS, public participation GIS
Research Division:	Environmental Sciences
Research Group:	Environmental management
Research Field:	Environmental management
Objective Division:	Environmental Management
Objective Group:	Terrestrial systems and management
Objective Field:	Evaluation, allocation, and impacts of land use
UTAS Author:	Raymond, CM (Dr Chris Raymond)
ID Code:	95788
Year Published:	2014
Web of Science® Times Cited:	194
Deposited By:	Centre for Environment
Deposited On:	2014-10-08
Last Modified:	2014-11-10
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