Use of Belief Function in Brownfield Infrastructure Redevelopment Decision Making

Attoh-Okine, Nii; Gibbons, Juel S.

doi:10.1061/(asce)0733-9488(2001)127:3(126)

Cited by 38 publications

(10 citation statements)

References 4 publications

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“…The revealed factors and their relevancy for brownfield regeneration do not explicitly suggest action that should be necessarily conducted by decision-makers; it should rather serve as one of the background documents for wide distribution of regeneration funding. Together with the previous studies [28][29][30][31][32], we propose one of the possible perspectives on brownfield regeneration.…”

Section: Discussionsupporting

confidence: 65%

Uncovering Patterns of Location of Brownfields to Facilitate Their Regeneration: Some Remarks from the Czech Republic

et al. 2018

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Abstract:The issue of brownfield regeneration is closely connected to balanced and sustainable development of regions, towns, and cities as it endeavors to reuse buildings and sites that have already lost their original use, but at the same time offers a possibility to generate new beneficial activities for the whole society that exceed just material or physical changes of the brownfield sites. The regeneration of every brownfield is usually a highly site-specific issue and individual and unique impacts of regeneration on the particular locality are obvious. Yet, several patterns in sets of non-regenerated brownfields can be identified. By finding and defining such patterns, a framework of indicators to facilitate brownfield regeneration can be created and the importance and strength of a particular indicator can be defined. By means of the analyses, we are able to recommend various relevant and most suitable approaches with regards to brownfield regeneration in individual regions. We have employed Factor Analysis (FA) for the identification of key factors of brownfield regeneration. In particular, Principal Component Analysis (PCA) was applied to conduct analyses of 1304 non-regenerated brownfields located in seven regions of the Czech Republic (NUTS 3 level). Data were obtained from publicly available brownfield databases of individual regional administrations. By means of Factor Analysis, it was ascertained that the most frequent factor that is typical for the surveyed non-regenerated brownfields is the ownership. The second most frequent factor is the size of the brownfields. As the third factor according to importance, the distance between the location of the individual brownfield and the municipality of extended powers (the so-called small district) was identified. By taking into account the results of the conducted analyses, brownfield regeneration policies of individual regions might be adapted to be more suitably targeted.

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Section: Discussionsupporting

confidence: 65%

Uncovering Patterns of Location of Brownfields to Facilitate Their Regeneration: Some Remarks from the Czech Republic

et al. 2018

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“…A wide variety of methods to date deal with one or a number of aspects of brownfield revitalization such as risk assessment (e.g., Carlon et al, 2008;Semenzin et al, 2006;Strenge and Chamberlain, 1995), policy analysis (e.g., Linkov et al, 2006), optimization of remediation (e.g., Ahlfeld et al, 1995;Bürger et al, 2007;Wang and McTernan, 2002), remediation cost assessment (e.g., Kaufman et al, 2005), general success factors for brownfield redevelopment (e.g., Lange and McNeil, 2004;Nijkamp et al, 2002), infrastructure redevelopment (Attoh-Okine and Gibbons, 2001), urban planning and site prioritization under budget constraints (e.g., AlvarezGuerra et al, 2009;Stevens et al, 2007) and mediation of negotiation (Sounderpandian et al, 2005).…”

Section: Necessity For Appropriate Decision Support Systemsmentioning

confidence: 99%

Designing sustainable and economically attractive brownfield revitalization options using an integrated assessment model

Schädler

Morio

Bartke

et al. 2011

Journal of Environmental Management

112

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“…The applications of DS theory in civil and environmental engineering vary from slope stability (Binaghi et al, 1998), environmental decision-making (Attoh-Okine and Gibbons, 2001;Chang and Wright, 1996), seismic analysis (Alim, 1988), failure detection (Tanaka and Klir, 1999), construction management (Sönmez et al, 2002), water quality and water treatment (Sadiq and Rodriguez, 2005;Demotier et al, 2005;Boyd et al, 1993), pipe deterioration modeling (Najjaran et al, 2005), and remote sensing (Wang and Civco, 1994) to climate change (Luo and Caselton, 1997). Many more engineering applications of DS theory can be seen in detailed bibliography provided by Sentz and Ferson (2002).…”

Section: Dempster-shafer (Ds) Theorymentioning

confidence: 99%

Investigating evidential reasoning for the interpretation of microbial water quality in a distribution network

Sadiq

Najjaran

Kleiner

2006

Stoch Environ Res Ris Assess

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/npsi/ctrl?lang=en http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/ctrl?lang=fr Access and use of this website and the material on it are subject to the Terms and Conditions set forth at http://nparc.cisti-icist.nrc-cnrc.gc.ca/npsi/jsp/nparc_cp.jsp?lang=en NRC Publications Archive Archives des publications du CNRCThis publication could be one of several versions: author's original, accepted manuscript or the publisher's version. / La version de cette publication peut être l'une des suivantes : la version prépublication de l'auteur, la version acceptée du manuscrit ou la version de l'éditeur. For the publisher's version, please access the DOI link below./ Pour consulter la version de l'éditeur, utilisez le lien DOI ci-dessous.http://dx.doi.org/10.1007/s00477-006-0044-7Stochastic Environmental Research and Risk Assessment, 21, 1, pp. 63-73, 2006-11-01 Investigating evidential reasoning for the interpretation of microbial water quality in a distribution network Sadiq, R.; Najjaran, H.; Kleiner, Y.http://irc.nrc-cnrc.gc.ca I nve st igat ing evide nt ia l re a soning for t he int e rpre t at ion of m ic robia l w at e r qua lit y in a dist ribut ion ne t w ork NRCC-48316Sadiq, R.; Najjaran, H.; Kleiner, Y.A version of this document is published in / Une version de ce document se trouve dans: Stochastic Environmental Research and Risk Assessment, v. 21, no. 1, Nov. 2006, pp. 63-73 doi:10.1007 Investigating evidential reasoning for the interpretation of microbial water quality in distribution network * Rehan Sadiq, Homayoun Najjaran and Yehuda KleinerInstitute for Research in Construction, National Research Council, Ottawa, ON, Canada, K1A 0R6 AbstractTotal coliforms are used as indicators for evaluating microbial water quality in distribution network. However, total coliform provides only a weak 'evidence' of possible fecal contamination because pathogens are subset of total coliform and therefore their presence in drinking water do not necessarily mean fecal contamination. Heterotrophic plate counts, covers even a wider range of organisms and are also used commonly to evaluate microbial water quality in the distribution network. Both of these indicators provide incomplete and highly uncertain evidences individually, but the combination of evidence using data fusion may provide improved insight for interpreting microbial water quality in distribution network.The term data fusion refers to the synergistic aggregation of observations and measurements. Different attributes and inputs (e.g. various water quality indicators) can provide information on various aspects of a system or process by complementing each other. Complementary information and redundant data sets form the basis of data fusion applications in water quality monitoring and for condition assessment of infrastructure systems.Approximate reasoning methods like fuzzy logic and probabilistic reasoning are commonly employed for data fusion, where knowledge is uncertain (i.e., ambiguous, incomplete or vague). Within a probabilistic framework, traditionally infer...

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Use of Belief Function in Brownfield Infrastructure Redevelopment Decision Making

Cited by 38 publications

References 4 publications

Uncovering Patterns of Location of Brownfields to Facilitate Their Regeneration: Some Remarks from the Czech Republic

Uncovering Patterns of Location of Brownfields to Facilitate Their Regeneration: Some Remarks from the Czech Republic

Designing sustainable and economically attractive brownfield revitalization options using an integrated assessment model

Investigating evidential reasoning for the interpretation of microbial water quality in a distribution network

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