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Record W4391957066 · doi:10.2175/193864718825159309

What got us here won't get us there: Building Alignment around a (One) Water Resiliency Strategy to Prioritize, Fund, and Communicate Capital Project Needs

2024· article· en· W4391957066 on OpenAlexaboutno aff
Holly Tichenor, Frank Dick

Bibliographic record

VenueProceedings of the Water Environment Federation · 2024
Typearticle
Languageen
FieldEngineering
TopicWater resources management and optimization
Canadian institutionsnot available
Fundersnot available
KeywordsCapital (architecture)Computer scienceBusinessSocial capitalPolitical scienceGeography

Abstract

fetched live from OpenAlex

What got us here won't get us there: Building Alignment around a (One) Water Resiliency Strategy to Prioritize, Fund, and Communicate Capital Project NeedsAbstractThe rapidly growing City of Vancouver, Washington, serves more than 200,000 wastewater, drinking water and stormwater customers. Until recently, utility finance staff used a six-year project planning horizon, financing projects with a 'pay as you go' model. In the face of new challenges such as aging infrastructure, changes in regulations, new PFAS concentration data, wastewater solids handling needs, and surface water quality protection needs, the old project planning and funding model no longer held up. Public works developed a new 30-year project planning and financing vision but needed to build understanding and alignment with City leadership and Council to change course. High-level support was needed for significant investments to improve and maintain service, update infrastructure to achieve economic, climate, safety, and seismic resiliency goals, and safeguard community health and livability. The City worked with Brown and Caldwell (BC) to develop a coordinated internal approach that applied outreach and strategic planning best practices. With input from a cross-functional team including finance, communications, utility department leaders, and City leadership, BC developed a Water Resiliency Strategy and Framework that aligned the City's three utilities around shared goals and needs. The Water Resiliency Strategy and Framework has guided Public Works' updated Capital Improvement Program (CIP), community engagement planning, and Council communications, and has informed the City's strategic planning processes. The Framework has bolstered Council and broader support for long-term infrastructure investments and led to clear financing strategies and rate stabilization recommendations. The City also created a framework of four Financial Levers to guide a series of Council workshops on financing strategy. These levers included bonding, SDC changes, rate multipliers for customers outside City boundaries , and utility tax rates. Through these focused discussions, Council made critical and time sensitive rate model decisions. Through this progressive series of workshops over eight months, Council adopted policies to adjust system development charges, modestly increase utility rates, and adjust rates for customers outside of City boundaries. These changes set the City in a better position to meet the demands and achieve results needed. The presentation will provide an overview of: -Internal multi-department alignment tactics -Internal communications approach that supported Council decision-making -External communications approach that builds upon the Water Resiliency Framework and will build community trust Benefits of the work include: Bring value and visibility to utility services Improve internal alignment Build community trust Support decision-making by elected officials Make needed investments affordable for ratepayersThis paper was presented at the WEF/AWWA Utility Management Conference, February 13-16, 2024.SpeakerTichenor, HollyPresentation time16:30:0017:00:00Session time15:30:0017:00:00SessionUtility Financing - A Multi-Faceted and Long Term EffortSession number27Session locationOregon Convention Center, Portland, OregonTopicStrategic Planning and ImplementationTopicStrategic Planning and ImplementationAuthor(s)Tichenor, HollyAuthor(s)H. Tichenor1, F. Dick2, R. Garrett1Author affiliation(s)Brown and Caldwell 1; City of Vancouver Public Works 2;SourceProceedings of the Water Environment FederationDocument typeConference PaperPublisherWater Environment FederationPrint publication date Feb 2024DOI10.2175/193864718825159309Volume / Issue Content sourceUtility Management ConferenceWord count25

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.207
Teacher spread0.192 · 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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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
Published2024
Admission routes1
Has abstractyes

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