Every agency must balance a multitude of considerations in its capital improvement plan (CIP) investment decisions. Available funding, aging infrastructure, regulatory demands, community stewardship, and strategic visioning all present a complex array of data and decisions for which projects to fund, when to fund them, how to fund them, and why to fund them. Effectively making these decisions is critical so that capital investments are impactful to the communities served, equitable across diverse community members and geographies, and strategic in advancing governing visions. This necessary balance can be achieved by merging spatial and program management analyses in the calculation of project metrics coupled with the iteration of CIP what-if scenarios. Using this approach makes project benefit metrics more defensible and less subjective to community stakeholders and leaders. Centralizing CIP data and production tools provides much greater efficiency in the evaluation and development of CIPs. This session will help CIP decision-makers and influencers develop spatial-based project metrics and outcomes-oriented CIP reporting. Presenters will share examples from other agencies who have applied metrics to quantify the relative benefits of CIP projects; developed innovative engagement tools to communicate CIP options and decisions with stakeholders; and established performance indicators to monitor real-world outcomes of CIP investments.
After this session, participants will be better able to:
• Develop metrics to quantify the relative benefits and efforts of active and potential capital improvement plan (CIP) projects.
• Communicate and achieve strategic CIP alignment with community stakeholders and leaders.
• Establish key performance indicators in the progress and outcomes of CIP investments.
Contributor/Source
Jeremy Linley-Infrastructure + Analytics Service Leader, Kevin Corwin-Senior Civil Engineer Lead
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Mastery of basic concepts associated with an area has been obtained. Focuses on understanding nuances, advanced concepts, and intricacies with implementation within knowledge area. Strong understanding of how the concept impacts other factors or areas of operations.
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