Planning methodology for predicting spatial patterns of risk potential from industrial land uses

Hilary Nixon, Raul P. Lejano, Richard G. Funderburg

Research output: Contribution to journalArticle

Abstract

The nature of environmental risk is often determined by the location patterns of industrial firms in a locale. We develop a methodology for analyzing the capacity of toxics-generating industries to leave toxic residuals on the landscape, in the context of long-term master planning. To understand an area's risk profile, we first characterize the location pattern of risk-generating firms and develop ways to represent the risk potentials of these shapes. To this end, we develop a geometric approach for characterizing the spatial patterns of these clusters of dirty industries, using new measures for analyzing spatial densities and compactness. We then introduce context (i.e. actual zoning patterns, transportation corridors) and explain how this relates to the spatial patterns found. We illustrate this analytical method with application to Orange County, California, USA and point out how it affords a deeper understanding of the connections between industry and environmental risk. We end the article with a discussion of how these analytical methods might be used for land use planning.

Original languageEnglish (US)
Pages (from-to)829-847
Number of pages19
JournalJournal of Environmental Planning and Management
Volume49
Issue number6
DOIs
StatePublished - Nov 2006

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Land use
land use
environmental risk
Planning
planning
methodology
industry
analytical method
Poisons
land use planning
zoning
firm
Industry
Zoning
corridor

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes
  • Environmental Science(all)
  • Ecology
  • Management, Monitoring, Policy and Law
  • Water Science and Technology
  • Geography, Planning and Development

Cite this

Planning methodology for predicting spatial patterns of risk potential from industrial land uses. / Nixon, Hilary; Lejano, Raul P.; Funderburg, Richard G.

In: Journal of Environmental Planning and Management, Vol. 49, No. 6, 11.2006, p. 829-847.

Research output: Contribution to journalArticle

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