A Methodology of Constructing Dynamic Risk Maps for Large Metropolitan Areas

Guryev, E. S.; Poluyan, L. V.; Тимашев, С. А.

doi:10.1061/41170(400)87

Cited by 3 publications

(2 citation statements)

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“…This document is being used by the City Administration for making decisions, related to providing safety of the citizens, lands and its infrastructure. 25 The second example (Fig. 6) is related to a PDO, namely, the jet fuel line which provides the Manchester (UK) Airport with airplane fuel.…”

Section: Real Life Examplesmentioning

confidence: 99%

Average Life Expectancy as a Criterion for Regional Risk Management Weight and Cloud Model

Timashev¹

2014

JRACR

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The paper considers an important and complex interdisciplinary integration problem -providing, supporting and managing safety of interdependent critical infrastructures (ICIs) of a municipal area or region, embedded in the context and realities of modern society of risk. The problem is solved using a new unified quantitative criterion for managing regional risk, namely, the regional average life expectance (RALE) criterion, combined with a new algorithm for assessing the value of regional risk, which involves mechanics of catastrophes, computer modeling and risk-analysis theory.

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Section: Real Life Examplesmentioning

confidence: 99%

Average Life Expectancy as a Criterion for Regional Risk Management Weight and Cloud Model

Timashev¹

2014

JRACR

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“…In the literature was proposed the creation of thematic risk maps using geoinformation systems (Shokin et al, 2011). Guryev et al (2014) also proposed the construction of dynamic (digital) risk maps whose main goal is to serve as an early diagnostics tool for decisionmakers. Potential territorial risk is an assessment of arbitrary points (x, y) located on a metropolitan area map.…”

Section: Introductionmentioning

confidence: 99%

Accuracy assessment of planimetric large-scale map data for decision-making

Doskocz¹

2016

Geodesy and Cartography

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This paper presents decision-making risk estimation based on planimetric large-scale map data, which are data sets or databases which are useful for creating planimetric maps on scales of 1:5,000 or larger. The studies were conducted on four data sets of large-scale map data. Errors of map data were used for a risk assessment of decision-making about the localization of objects, e.g. for land-use planning in realization of investments. An analysis was performed for a large statistical sample set of shift vectors of control points, which were identifi ed with the position errors of these points (errors of map data). In this paper, empirical cumulative distribution function models for decision-making risk assessment were established. The established models of the empirical cumulative distribution functions of shift vectors of control points involve polynomial equations. An evaluation of the compatibility degree of the polynomial with empirical data was stated by the convergence coeffi cient and by the indicator of the mean relative compatibility of model. The application of an empirical cumulative distribution function allows an estimation of the probability of the occurrence of position errors of points in a database. The estimated decision-making risk assessment is represented by the probability of the errors of points stored in the database.

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