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Record W2008622908 · doi:10.1115/ipc2006-10478

Securing Pipeline Approvals in a Tough Regulatory Environment

2006· article· en· W2008622908 on OpenAlexaffabout
Mario E. Buszynski

Bibliographic record

VenueVolume 1: Project Management; Design and Construction; Environmental Issues; GIS/Database Development; Innovative Projects and Emerging Issues; Operations and Maintenance; Pipelining in Northern Environments; Standards and Regulations · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsDillon Consulting
Fundersnot available
KeywordsPipeline transportElectricityPublic participationBusinessCommissionEconomic shortageNuclear powerEnvironmental planningEngineeringFinanceEnvironmental sciencePublic administrationGovernment (linguistics)Political scienceEnvironmental engineeringElectrical engineering

Abstract

fetched live from OpenAlex

The Regional Municipality of York is located immediately north of the City of Toronto. It is the fastest growing municipality in Ontario. The rapid expansion of residential, industrial and commercial development in the municipality has led to a weakness in the electrical and gas infrastructure. The Ontario Power Authority (the agency responsible for managing the power requirements in the Province of Ontario) has recognized this weakness and has developed plans calling for a new gas-fired generating station and improvements to the electrical grid. The shortages of gas supply and electricity have not developed overnight. Hydro One, which runs the electrical grid, initiated a supply study in 2002. The study recommended upgrading a 115 kV transmission line to a double circuit 230 kV transmission line on the existing corridor. The ensuing public outcry resulted in the municipality passing a resolution against the upgrade. Similarly, a large gas-fired generating station proposal was abandoned as the result of citizen opposition. In 2003, the Ontario Energy Board approved new Environmental Guidelines for the Location, Construction and Operation of Hydrocarbon Pipelines and Facilities in Ontario. The guidelines include specific new requirements for planning pipelines in urban areas. Among other things, these requirements involve the identification of indirectly affected landowners and a more detailed analysis of public issues and how they were resolved. It became clear that in order to achieve regulatory success, not only would the public have to become actively engaged in the decision-making early in the process, the technical reviewers (federal, provincial and municipal agencies) would likewise have to be actively involved. Through the use of two case studies of proposed large-diameter natural gas pipelines initiated in York Region in 2005, this paper describes the techniques used to engage the public and the regulators. It also describes how the public involvement requirements contained in the Ontario Energy Board’s new guidelines were incorporated into the planning process. The case studies begin with a rationale for the study area selected. A description of issues follows. The techniques used to address these issues and the success of the program are documented. Techniques include face-to-face project initiation meetings, use of technical and citizens’ advisory committees, sub-committee meetings to resolve specific issues and site-specific field work. The study results illustrate that it is possible to plan a right-of-way in such a manner as to satisfy the general public and regulators, be compatible with existing development, conform to the new Ontario Energy Board guidelines and minimize the amount of remedial work required to mitigate the impacts occurring on and adjacent to the right-of-way.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.175
metaresearch head score (Gemma)0.225
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.175
Threshold uncertainty score0.926

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1750.225
Meta-epidemiology (narrow)0.0010.003
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.003
Science and technology studies0.0190.020
Scholarly communication0.0250.013
Open science0.0060.010
Research integrity0.0330.025
Insufficient payload (model declined to judge)0.0110.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.253
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2006
Admission routes2
Has abstractyes

Explore more

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