Methods for identifying land use conflict potential using participatory mapping

By Greg Brown, Christopher M. Raymond. 2014

365 citations recorded by the source corpus.

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.

Subfields: Economics and Econometrics, Geography, Planning and Development, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/b23d049119f946376b748e3bc0b80b930e87028d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

  1. Kai Ma Chan

In Global and Planetary Change

  1. Kai Ma Chan

Citations in the corpus