New Facility Predictive Model

The New Facility Predictive Model predicts when new municipal facilities are required based on analytics and existing service level choices.

This decision-making tool looks at existing community and public services and considers what future infrastructure is needed to support them in the years to come. The model allows the City to holistically plan and prioritize funding for new facilities for St. Albert for the long-term.

Municipal facilities include but are not limited to community facilities (field houses, performing arts theatres, city-wide soccer centres), fire stations, transit garages, transit park and ride stations, public works facilities and police detachments. This model also includes services provided on City land/infrastructure by not for profit or arm’s-length organizations. 

What Data is Used?

The data used to predict future need is based upon the ‘typical comparator cities’ listed below. Research on smaller and larger communities is also collected, and this information is used to reflect differences in the provision of infrastructure depending on the size of the community.

  • Typical Comparator Cities
    Data is gathered from cities that the City of St. Albert typically uses as comparators and/or benchmarks, including Airdrie, Grande Prairie, Lethbridge, Medicine Hat, Red Deer and Strathcona County. Please note that with some specialized services, different comparators are selected. Examples are fitness centres, fire services, transit and RCMP.
  • Small Alberta Comparator Communities
    Information is collected from smaller Alberta communities, including Camrose, Cochrane, Fort Saskatchewan, Leduc, Okotoks and Spruce Grove.
  • Large Canadian Comparator Cities
    Data is gathered from large Canadian cities, including Edmonton, Kelowna (BC), Newmarket (Ontario) and Oakville (Ontario).
  • St. Albert Growth Projections (March 2014)
  • Infrastructure categories
    Thirty-three in total, examples: arenas, indoor swimming pools, recycling and eco stations etc.
  • Stakeholder Input
    The Model will use input from the public consultation phase (operational inputs, views and impressions) to help inform decisions on future new facilities.
  • Service Level Choices
    Service level choices will be applied to the Model once all other data is determined.

How the Model Works


The Model

  • Establishes the current level of service (baseline) for the existing facility.
  • Develops external comparative analytics to determine how the infrastructure compares to other comparator cities.
  • Applies St. Albert's growth projections to the particular infrastructure category to predict when a new facility is needed.
  • Incorporates infrastructure categories and existing service level choices to determine when new, additional facilities are required.  

It Builds a Three-Year Planning Cycle

  • Year 1 - Feasibility study and Functional plan confirms the type, scope, and size of planned infrastructure;
  • Year 2 - Schematic and design development phase further refines capital costs;
  • Year 3 - Construction is the final stage.

Findings

From June to September 2015, the City undertook a comprehensive public consultation process with stakeholders to ensure the Model's data was correct, complete, and all possible data inputs such as utilization, capacity, funding and other industry-specific metrics were considered. The City talked with operator/service providers, major users/stakeholders, casual users, as well as residents in general. 

Findings Documents


New Facility Predictive Model - Public Engagement Results

Appendix 1 - Community Engagement Plan

Appendix 2 - 2014 Population Figures

Appendix 3 - Recommendations Summary

Appendix 4 - Capital Growth Projects

Appendix 5 - Major Stakeholders Report

Appendix 6 - Web-based Survey Report

Appendix 7 - Telephone Survey Report

On October 13, 2015, the City presented the information to the Standing Committee of the Whole. They received the report as information.

 

Additional Resources


New Facility Priority Assessment Model Information Sheet

Comparator Cities Benchmark Research


Related Pages

Last edited: November 12, 2019