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Version 1.3

Criterion Examples

Criterion Examples are user-submitted examples to showcase how an agency or project accomplished points within a particular criterion

Use the filtering below to look for Criterion Examples pertinent to your project or program. Please also visit the Submit Criterion Example page to share your INVEST experiences with other users!

The ability to share and review Criterion Examples within INVEST Version 1.3 hopes to create an open-forum and sharing of ideas. Criterion Examples can be submitted by anyone. Criterion examples are only reviewed by FHWA in the context of appropriateness. Submittal gives consent for FHWA to publish the example online; publishing online does not imply consent, approval, or endorsement by FHWA. 

With the submittal of a criterion example, FHWA reserves the right to share your example on the INVEST website. The agency name will be shared, but name and contact information of the person who submitted the criterion will NOT be shared on the website, but will be visible to FHWA. FHWA may elect to review and provide feedback on your example, but is not obligated to do so. FHWA may elect to share contact information provided with criterion examples to other users who request that information.

While use of the INVEST website is private, and information about projects/programs and scores is not available to FHWA or other users, if a user selects to submit a criterion example, the information provided within that submittal is not considered private. The purpose of this is to ensure that examples are carefully considered by users and to provide a "forum" for ideas and examples to be shared among transportation practitioners. The scoring for any projects/programs registered by a submitter of a criterion example stays private; only the information pertaining to the criterion examples is shared.


Washington State Department of Transportation Corridor Studies

Download the full WSDOT Criterion Example.

The Washington State Department of Transportation (WSDOT) used the INVEST System Planning module to score three completed corridor studies in the Seattle/Tacoma metropolitan area: SR 516 Corridor Study (SR 167 in Kent to SR 169 in Maple Valley), SR 520 Multi-modal Corridor Planning Study, and US 2 Everett Port / Naval Station to SR 9 Corridor Planning Study. These studies represented a variety of contexts, including the type of highway and surrounding land use, different commute patterns and availability of transit, and varying scope, schedule, budget, and stakeholder participation levels. Even though the evaluations focused on the corridor studies, as part of the scoring process, WSDOT officials also noted agency-wide efforts. For SP-06, WSDOT found that while they would have scored well on some of the scoring requirements at the agency level, they did not score as well at the corridor level due to the specificity of the scoring requirements.

Criterion Information

Scorecard: N/A Criterion: SP-06 Points Earned: 6 Link:

Sustainability Improvements

After completing the INVEST evaluation, WSDOT proposed numerous recommendations to improve the integration of safety planning into corridor studies. These included:

  • Addressing safety planning on all public roadways in the corridor, not just state facilities.
  • Considering whether corridor studies should include quantitative safety performance measures and projected safety performance.
  • Considering whether to use GIS for safety analysis at the corridor level as well as the statewide level.
  • Having a uniform, consistent, single source of safety data and analysis to help in creating future corridor reports.
  • Expanding “vulnerable user” tracking. For example, tracking could include people with disabilities, as well as those who are involved in safety situations that do not involve a vehicle (such as between a pedestrian and a cyclist, or the tipping over of a wheelchair due to curbcut slope or uneven pavement).
  • Incorporating use of the Highway Safety Manual/Safety Analyst macro-predictive models to forecast crashes for a given level of travel demand when available.
  • Considering the use of macro-predictive models (such as PlanSafe) to reliably forecast crashes based on socio-demographic changes in the population.

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