Engaging Communities in the Functional Planning and Geometric Design Process
Bibliographic record
Abstract
The planning stage of a roadway project is the forerunner to the design and construction stages. In various jurisdictions the planning stage can be broken down into several components including General Location Planning, Preliminary Engineering Review, Detailed Functional Planning and Detailed Location Reporting. Each component is vital to establishing the parameters that will be used to design and eventually construct the project. As such, there has been a trend with jurisdictions to involve stakeholders earlier and earlier in the life of a project to manage impacts, risks and expectations. Many jurisdictions now require a comprehensive communications strategy to be implemented to guide the input of stakeholders that have an interest in the development and outcome of project requirements. The intent of early engagement is to minimize the amount of potential rework and inherent delays and budget overruns that can sometimes occur within the project lifecycle when the project objectives have not been properly communicated. Many of the decisions related to a project occur during the planning stage of its life cycle. For example, the route alignment, design criteria, initial right-of-way requirements, avoidance or mitigation of environmentally sensitive lands, utility impact mitigation can be addressed at the onset of the project to raise awareness and make adjustments where possible. Tetra Tech EBA Inc. (Tetra Tech), has been involved in the planning of several important key infrastructure projects for Western Canadian jurisdictions. The intent of these projects is to improve key routes to economic growth areas through enhancedmobility and access. With most infrastructure projects, the owning jurisdiction seeks to make improvements for the benefit of the majority; however, there is always an inherent disadvantage to some, mostly in the minority, when it comes to land loss and localized transportation impacts. Through collaborative engagement of local stakeholders, Tetra Tech and their project partners have developed and implemented effective communication strategies to involve key stakeholders from the onset of a project. Traditional planning exercises usually imposed the decisions made by technical parties, without much consideration for the local stakeholder impacts. By taking advantage of the local stakeholder knowledge of project areas and surrounding constraints, Tetra Tech has been able to develop infrastructure options that seek to balance project impacts and objectives. This early engagement has led to municipalities working alongside one another to meet project objectives, rather than apart as had been the previous relationship. It has also led to municipal advocacy towards stakeholders sharing their feedback and being heard, when previous opinions suggested that all feedback would fall on deaf ears. The intent of this paper is to discuss project case studies that involved local stakeholders in the decisionmaking process and the project advocacy that has been observed subsequently.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".