Do Users Ignore Spatial Data Quality? A Decision-Theoretic Perspective

Autor:	Arnold K. Bregt, P.A.J. van Oort
Rok vydání:	2005
Předmět:	Risk analysis Actuarial science Geographic information system Management science Computer science business.industry Process (engineering) Decision theory Perspective (graphical) Physiology (medical) Spatial data quality Safety Risk Reliability and Quality business Spatial analysis
Zdroj:	Risk Analysis. 25:1599-1610
ISSN:	0272-4332
DOI:	10.1111/j.1539-6924.2005.00678.x
Popis:	Risk analysis (RA) has been proposed as a means of assessing fitness for use of spatial data but is only rarely adopted. The proposal is that better decisions can be made by accounting for risks due to errors in spatial data. Why is RA so rarely adopted? Most geographical information science (GISc) literature stresses educational and technical constraints. In this article we propose, based on decision theory, a number of hypotheses for why the user would be more or less willing to spend resources on RA. The hypotheses were tested with a questionnaire, which showed that the willingness to spend resources on RA depends on the presence of feedback mechanisms in the decision-making process, on how much is at stake, and to a minor extent on how well the decision-making process can be modeled.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::792a66ef4135412154bfeb6f54ba5165 https://doi.org/10.1111/j.1539-6924.2005.00678.x Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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