Show simple item record

dc.contributor.authorLinkov, Igor
dc.contributor.authorTrump, Benjamin
dc.contributor.authorJin, David S.
dc.contributor.authorMazurczak, Marcin
dc.contributor.authorSchreurs, Miranda
dc.date.accessioned2014-09-03T15:27:51Z
dc.date.available2014-09-03T15:27:51Z
dc.date.issued2014-08
dc.date.submitted2014-06
dc.identifier.issn2190-4715
dc.identifier.urihttp://hdl.handle.net/1721.1/89151
dc.description.abstractBackground: The development of horizontal drilling and hydraulic fracturing methods has dramatically increased the potential for the extraction of previously unrecoverable natural gas. Nonetheless, the potential risks and hazards associated with such technologies are not without controversy and are compounded by frequently changing information and an uncertain landscape of international politics and laws. Where each nation has its own energy policies and laws, predicting how a state with natural gas reserves that require hydraulic fracturing will regulate the industry is of paramount importance for potential developers and extractors. We present a method for predicting hydraulic fracturing decisions using multiple-criteria decision analysis. The case study evaluates the decisions of five hypothetical countries with differing political, social, environmental, and economic priorities, choosing among four policy alternatives: open hydraulic fracturing, limited hydraulic fracturing, completely banned hydraulic fracturing, and a cap and trade program. Results: The result is a model that identifies the preferred policy alternative for each archetypal country and demonstrates the sensitivity the decision to particular metrics. Armed with such information, observers can predict each country’s likely decisions related to natural gas exploration as more data become available or political situations change. Conclusions: Decision analysis provides a method to manage uncertainty and address forecasting concerns where rich and objective data may be lacking. For the case of hydraulic fracturing, the various political pressures and extreme uncertainty regarding the technology’s risks and benefits serve as a prime platform to demonstrate how decision analysis can be used to predict future behaviors.en_US
dc.publisherSpringeren_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/s12302-014-0020-7en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0en_US
dc.titleA decision-analytic approach to predict state regulation of hydraulic fracturingen_US
dc.typeArticleen_US
dc.identifier.citationLinkov, Igor, Benjamin Trump, David Jin, Marcin Mazurczak, and Miranda Schreurs. "A decision-analytic approach to predict state regulation of hydraulic fracturing." Environmental Sciences Europe. 2014 Aug 02;26(1):20en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.mitauthorJin, David S.en_US
dc.relation.journalEnvironmental Sciences Europeen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2014-08-09T07:06:39Z
dc.language.rfc3066en
dc.rights.holderIgor Linkov et al.; licensee BioMed Central Ltd.
dspace.orderedauthorsLinkov, Igor; Trump, Benjamin; Jin, David; Mazurczak, Marcin; Schreurs, Mirandaen_US
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record