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

TitlePlanning methodology for predicting spatial patterns of risk potential from industrial land uses
Authors
Issue Date2006
PublisherRoutledge. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/09640568.asp
Citation
Journal Of Environmental Planning And Management, 2006, v. 49 n. 6, p. 829-847 How to Cite?
AbstractThe 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.
Persistent Identifierhttp://hdl.handle.net/10722/167146
ISSN
2015 Impact Factor: 1.71
2015 SCImago Journal Rankings: 0.710
References

 

DC FieldValueLanguage
dc.contributor.authorNixon, Hen_HK
dc.contributor.authorLejano, RPen_HK
dc.contributor.authorFunderburg, RGen_HK
dc.date.accessioned2012-09-28T04:04:36Z-
dc.date.available2012-09-28T04:04:36Z-
dc.date.issued2006en_HK
dc.identifier.citationJournal Of Environmental Planning And Management, 2006, v. 49 n. 6, p. 829-847en_HK
dc.identifier.issn0964-0568en_HK
dc.identifier.urihttp://hdl.handle.net/10722/167146-
dc.description.abstractThe 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.en_HK
dc.languageengen_US
dc.publisherRoutledge. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/09640568.aspen_HK
dc.relation.ispartofJournal of Environmental Planning and Managementen_HK
dc.titlePlanning methodology for predicting spatial patterns of risk potential from industrial land usesen_HK
dc.typeArticleen_HK
dc.identifier.emailLejano, RP: lejano@hku.hken_HK
dc.identifier.authorityLejano, RP=rp01666en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1080/09640560600946826en_HK
dc.identifier.scopuseid_2-s2.0-33750192606en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33750192606&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume49en_HK
dc.identifier.issue6en_HK
dc.identifier.spage829en_HK
dc.identifier.epage847en_HK
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridNixon, H=7004943674en_HK
dc.identifier.scopusauthoridLejano, RP=6602298801en_HK
dc.identifier.scopusauthoridFunderburg, RG=15026163600en_HK
dc.identifier.citeulike907047-

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