Lifecycle of Geospatial Data in a High-Voltage Electrical Infrastructure Project: Geodesign Framework in the Electrical Network of Spain (REE)

This paper presents the advances in the design and implementation of a geodesign framework and workflow for the development of HVEI projects, which is supported by corporate methodologies and by the execution of automatic models guaranteeing the traceability of the development of each project, in the different stages of its lifecycle. The ultimate goal is to minimize environmental, social and local impacts, while, at the same time, providing the system’s actors with support tools that facilitate planning and decision-making. Our framework integrates the principles of geodesign and harmonizes the corporate procedures in the project phases. It also takes into consideration the conditions alerted by other actors, through a design process guided by feedback-iteration-consensus mechanisms. In this way there is a participatory, transparent, visible and improved framework for the development of new electricity infrastructures. The geodesign framework that we present addresses the problem of managing geospatial information for the development of new HVEI projects with two fundamental approaches: (1) including all the geospatial information representative of each constraint or territorial restriction and, (2) defining procedures throughout the phases of each project to ensure that all projects are developed homogeneously in terms of scope, precision and depth of analysis.

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A Methodological Approach to Using Geodesign in Transmission Line Projects

Sustainability ◽

10.3390/su10082757 ◽

2018 ◽

Vol 10 (8) ◽

pp. 2757 ◽

Cited By ~ 2

Author(s):

Francisco Moreno Marimbaldo ◽

Miguel-Ángel Manso-Callejo ◽

Ramon Alcarria

Keyword(s):

Decision Making ◽

Transmission Lines ◽

Large Volume ◽

Methodological Approach ◽

Urban Centers ◽

Share Data ◽

Project Phases ◽

Local Impacts ◽

Project Lifecycle ◽

Linear Infrastructures

Numerous constraints affect the design of long linear infrastructures such as high-voltage transmission lines (HVTL): terrain slope, distances to urban centers or protected areas, stakeholders, administration, etc. These constraints must be studied as a whole to make the most appropriate decisions. In HVTL project development, a large volume of geodata is generated and analyzed in the project lifecycle. Each geodata scale is associated with a phase of the project and scale transitions correspond to changes in involved technical teams. Geodesign provides design frameworks and supporting technologies, so that professionals can share data and find designs suitable to the sustainability characteristics of each territory. This article proposes a geodesign workflow for developing HVTL projects, supported by methodologies and by automated model executions that guarantee the traceability of its development through the lifecycle stages. The aim is to minimize environmental, social, and local impacts, while providing stakeholders with tools for planning and decision-making. The workflow helps to integrate the geodesign’s principles, harmonizing corporate procedures throughout the project phases, taking into consideration constraints notified by stakeholders, through a design process guided by feedback-iteration- consensus mechanisms. As a result, it produces a transparent, visible, and improved participative workflow for developing new electric infrastructures.

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Decision support tools to improve cancer diagnostic decision making in primary care: a systematic review

British Journal of General Practice ◽

10.3399/bjgp19x706745 ◽

2019 ◽

Vol 69 (689) ◽

pp. e809-e818 ◽

Cited By ~ 3

Author(s):

Sophie Chima ◽

Jeanette C Reece ◽

Kristi Milley ◽

Shakira Milton ◽

Jennifer G McIntosh ◽

...

Keyword(s):

Systematic Review ◽

Primary Care ◽

Decision Making ◽

Decision Support ◽

Cost Effectiveness ◽

Cancer Diagnosis ◽

Decision Support Tools ◽

Diagnostic Decision ◽

Support Tools ◽

Diagnostic Decision Making

BackgroundThe diagnosis of cancer in primary care is complex and challenging. Electronic clinical decision support tools (eCDSTs) have been proposed as an approach to improve GP decision making, but no systematic review has examined their role in cancer diagnosis.AimTo investigate whether eCDSTs improve diagnostic decision making for cancer in primary care and to determine which elements influence successful implementation.Design and settingA systematic review of relevant studies conducted worldwide and published in English between 1 January 1998 and 31 December 2018.MethodPreferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials were searched, and a consultation of reference lists and citation tracking was carried out. Exclusion criteria included the absence of eCDSTs used in asymptomatic populations, and studies that did not involve support delivered to the GP. The most relevant Joanna Briggs Institute Critical Appraisal Checklists were applied according to study design of the included paper.ResultsOf the nine studies included, three showed improvements in decision making for cancer diagnosis, three demonstrated positive effects on secondary clinical or health service outcomes such as prescribing, quality of referrals, or cost-effectiveness, and one study found a reduction in time to cancer diagnosis. Barriers to implementation included trust, the compatibility of eCDST recommendations with the GP’s role as a gatekeeper, and impact on workflow.ConclusioneCDSTs have the capacity to improve decision making for a cancer diagnosis, but the optimal mode of delivery remains unclear. Although such tools could assist GPs in the future, further well-designed trials of all eCDSTs are needed to determine their cost-effectiveness and the most appropriate implementation methods.

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The Police Use of Background Information Related to Alleged Victims in Mock Evaluations of Child Sexual Abuse

Journal of Police and Criminal Psychology ◽

10.1007/s11896-019-9312-6 ◽

2019 ◽

Vol 35 (4) ◽

pp. 414-421 ◽

Cited By ~ 1

Author(s):

Alessandro Tadei ◽

Pekka Santtila ◽

Jan Antfolk

Keyword(s):

Decision Making ◽

Sexual Abuse ◽

Child Sexual Abuse ◽

Police Officers ◽

Background Information ◽

Support Tools ◽

Low Probability ◽

Individual Variables ◽

Subject Performance ◽

Decision Making Support

Abstract When statistically related to child sexual abuse (CSA), background information can assist decision-making in investigations of CSA allegations. Here, we studied the use of such background information among Finnish police officers. We analyzed their ability to identify and interpret CSA-related and CSA-unrelated background information both when placed in mock scenarios and when presented as separate, individual variables. We also measured the ability to correctly estimate the probability of CSA based on such background information. In the context of mock scenarios, officers were better in discarding CSA-unrelated variables than in identifying CSA-related ones. Within-subject performance across different scenarios was, however, not consistent. When information was presented as separate variables, officers tended to incorrectly consider many CSA-unrelated variables as CSA-related. Officers performed better in recognizing whether actual CSA-related variables increase or decrease the probability of CSA. Finally, officers were inaccurate in identifying variables that are CSA-related only for boys or only for girls. When asked to estimate the CSA probability of mock scenarios, participants were accurate only in assessing low-probability cases, and this was not associated with the ability to identify CSA-related and CSA-unrelated variables. We conclude that police officers would benefit from more training in using background information and from using available decision-making support tools in the context of investigating CSA allegations.

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GeoDec: A framework to visualize and query geospatial data for decision-making

IEEE Multimedia ◽

10.1109/mmul.2010.5692179 ◽

2010 ◽

Vol 17 (3) ◽

pp. 14-23 ◽

Cited By ~ 16

Author(s):

Cyrus Shahabi ◽

Farnoush Banaei-Kashani ◽

Ali Khoshgozaran ◽

Luciano Nocera ◽

Songhua Xing

Keyword(s):

Decision Making ◽

Geospatial Data

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Is This a Geolibrary? A Case of the Idaho Geospatial Data Center

Information Technology and Libraries ◽

10.6017/ital.v19i1.10068 ◽

2017 ◽

Vol 19 (1) ◽

pp. 4-10 ◽

Cited By ~ 1

Author(s):

Maria Anna Jankowska ◽

Piotr Jankowski

Keyword(s):

Digital Library ◽

Future Development ◽

Data Center ◽

Data Centers ◽

Public Domain ◽

The State ◽

Geospatial Data ◽

Design And Implementation ◽

Geographic Data

The article presents the Idaho Geospatial Data Center (IGDC), a digital library of public-domain geographic data for the state of Idaho. The design and implementation of IGDC are introduced as part of the larger context of a geolibrary model. The article presents methodology and tools used to build IGDC with the focus on a geolibrary map browser. The use of IGDC is evaluated from the perspective of accessa and demand for geographic data. Finally, the article offers recommendations for future development of geospatial data centers.

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