Use “Denver Clean” database (version 8) to show setup and configuration; open Budget Scenario Tab, CAO&A tab, Program Costs Tab for Budget Scenario CD3.

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Presentation transcript:

Use “Denver Clean” database (version 8) to show setup and configuration; open Budget Scenario Tab, CAO&A tab, Program Costs Tab for Budget Scenario CD3

dTIMS Asset Management Journey It does not matter where you start the journey, the process for adding any asset to dTIMS for reporting and analysis is the same. Determine what outcomes you are looking for: Strategic Planning versus Tactical Planning versus Operational management? Preservation versus Rehabilitation versus Replacement strategies? Are all assets the same or are some more critical than others? Condition based, level of service based or risk based analysis? Prioritization or optimization? Integration across assets? Is it worth it – are you spending dollars to save pennies?

dTIMS Asset Management Journey Determine what the asset is and to what level you will analyze the asset? Building? Building Structure? Roof Walls Exterior Doors Windows Building Systems? HVAC Electrical Plumbing Fixtures? … Furnishings? Serviceability? Office space Storage space

dTIMS Asset Management Journey Determine what the asset is and to what level you will analyze the asset? Fleet Equipment Engine Drive Train Brakes Body Interior Components Signalized Intersections? Mast Arms and Span Wire Controller Cabinets Controllers Lights Lenses Bulbs Visors Detectors?

dTIMS Asset Management Journey Determine performance measures / condition indexes Determine performance prediction models Condition / Level of Service / Risk Determine treatment models Triggers, resets and costs Determine economic parameters Budget categories, budgets, inflation, discount Determine data sources and integration requirements Then finally start to add the asset into dTIMS!

CDOT Asset Management Integrate assets into one system for strategic and tactical planning: Pavement Assets : drivability life Bridge Assets : percent structurally deficient Culvert Assets : percent structurally deficient Building Assets : percent C or better Fleet Assets : percent life MLOS : letter grade ITS assets : percent life GeoHazards: percent risk categories Signals : percent life Tunnels: in development (2014) Walls : in development (2018?) Not all assets are directly related to the base highway network.

CDOT Building Management : Inventory CDOT uses two different data collection forms, one for offices and one for all other types of buildings. Many different elements of the buildings are rated and then turned into indexes for several important components. Storage sheds, employee housing and rest areas are included in the condition survey but are removed prior to the analysis as they are of lesser priority. Key Performance Measure and Objective: 90% of buildings C or greater

CDOT Building Management : Performance Measures

CDOT Building Management : Performance Measures

CDOT Building Management : Performance Measures

CDOT Building Management : Performance Measures

CDOT Building Management : Performance Measures

CDOT Building Management : Performance Measures

CDOT Building Management : Performance Measures

CDOT Building Management : Performance Lives

CDOT Building Management : Treatments Minor Repair – minor repairs, building is in fair condition Major Repair – more extensive repairs – fair / poor condition Refurbishment – total refurbishment but not replacement Replacement – complete replacement

CDOT Building Management : Typical Performance

CDOT Building Management : Typical Performance

CDOT Asset Management : Strategic Analysis Primary objective of the CDOT project is to develop a management system for each of the assets and then integrate the assets together for strategic analysis using the following functions: Strategic Analysis Module Cross Asset Analysis and Optimization Our presentation this afternoon will discuss the implementation of the SAM functionality and the CAAandO functionality for CDOT.

CDOT Asset Management : Project Benefits Integrating the asset analysis in dTIMS allows for: Standardized analysis and optimization methodologies Standardized application of discount rates and inflation rates Standardized analysis periods Standardized reporting and graphing Increased communication and awareness between asset managers

Sudbury: Sidewalks City of Greater Sudbury started collecting sidewalk condition data as per ASTM D6433 “Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys”. Defects recorded include, by sidewalk type: PCC: corner break, divided slab, faulting, joint damage, joint spalling, linear cracking, patching, polished aggregates, popouts, scaling AC: longitudinal & transverse cracking, patching Approx. 300 km of sidewalk condition data collected during 2012 were imported into dTIMS.

Sudbury: Sidewalks Sidewalks were incorporated into the existing pavement analysis, via: Calculation of sidewalk condition index (SCWI) as per the ASTM method against each analysis section Determining amount of sidewalks to be replaced for each based on the SCWI Addition of sidewalk replacement treatments, to be applied as ancillary treatments to major pavement treatments as applicable.

Sudbury: Sidewalks Sidewalk replacement costs are now reported alongside those of pavement construction from the analysis results.

Denver: Concrete Street Elements Denver collects condition data on concrete street elements every five years: Curb and Gutter Curb Ramps Drainage Cross Pans Inlets Valley Gutter Sidewalks Driveways and Alley Entrances

Denver: Concrete Street Elements Repairs are performed on streets prior to pavement rehabilitation, generally in a separate contract

Denver: Concrete Street Elements Replacement treatments for concrete street elements are included as ancillary treatments in the pavement asset management analysis Treatments are triggered when some concrete elements need replacement; for curb ramps, triggers are based on treatment type as well in order to meet ADA requirements Separate Condition Index (CI) for each type of element (curb and gutter, curb ramp, driveway, etc.) Concrete elements use a different performance model than the adjacent pavement section

Denver: Concrete Street Elements Replacement treatments for concrete street elements are included as ancillary treatments in the pavement asset management analysis A separate treatment is used for each element CI uses 1-100 scale and represents the percent of the element that is in good condition and does not need replacement If CI is 20 or less, 100% of the element is replaced

Denver: Concrete Street Elements Replacement treatments for concrete street elements are included as ancillary treatments in the pavement asset management analysis A separate treatment is used for each element CI uses 1-100 scale and represents the percent of the element that is in good condition and does not need replacement If CI is 20 or less, 100% of the element is replaced dTIMS provides a separate budget for each type of concrete element that needs replacement

Fort Collins: Pedestrian Access Fort Collins manages pedestrian infrastructure as a separate asset which can also be included as an ancillary asset to pavements A citywide inventory was performed to capture location, type, condition, and ADA compliance of pedestrian infrastructure (sidewalks and curb ramps)

Fort Collins: Pedestrian Access Assets were categorized as being “compliant” if they met 100% of ADA requirements; otherwise they were “not compliant” Annual analysis variables are used to model condition Dynamic analysis variable are used to model compliance When the predicted condition of a “compliant” asset drops below a certain condition state, it becomes “non-complaint”

Fort Collins: Pedestrian Access KPI’s Connectivity: whether or not the asset exists (at the block level) Compliance: whether or not the asset is ADA compliant (again, at the block level)

System Integration and Network Definition The network definition must be the same for all asset sharing the same network It might be useful to talk about integration of system through a data mart For example is one system relies on a network definition four years on and another on a network definition from today. There will be problem. We will talk more about this on Wednesday If system a is force to put in and get data from a data mart, as the same is two for b, c and d Simpler integration One source data No kingdom or hidden or restricted data