Center for Risk Management of Engineering Systems University of Virginia 1 Update for VTrans2025 Technical Committee April 12, 2006

Center for Risk Management of Engineering Systems University of Virginia 2 Introduction Multimodal Corridor Maturity Model Presentation Review: “Multimodal Transportation Districts: A Creative Planning Tool in Florida” presented by Jared Ulmer Renaissance Planning Group 04/07/06

Center for Risk Management of Engineering Systems University of Virginia 3 Multimodal Corridor Maturity Model Carnegie Mellon Software Engineering Institute developed the Capability Maturity Model Integration (CMMI) A maturity model provides –a place to start –the benefit of a community’s prior experiences –a common language and a shared vision –a framework for prioritizing actions –a way to define improvement A maturity model can be used as a benchmark for assessing different organizations for equivalent comparison CMMI Overview presentation,

Center for Risk Management of Engineering Systems University of Virginia 4 Multimodal Corridor Maturity Model CMMI Overview presentation,

Center for Risk Management of Engineering Systems University of Virginia 5 MaturityPotential Multimodal Corridor Maturity Model Instead of software design capability of organizations, we focus on ability of statewide transportation corridors to provide robust and varied service The Multimodal Corridor Maturity Model borrows from the CMMI framework, viewing each corridor in terms of its –Potential for multimodal investment –Existing multimodal maturity

Center for Risk Management of Engineering Systems University of Virginia 6 Multimodal Corridor Maturity Model Metrics used to identify levels of multimodal maturity –Density (population, housing, jobs, attractions) –Accessibility to attractions by mode within time radius –Percent/amount of mixed use zoning –Mode split –Presence / Quality of intermodal facilities –Multimodal LOS –Accidents/injuries/fatalities by mode, normalized by person- mile traveled

Center for Risk Management of Engineering Systems University of Virginia 7 Multimodal Corridor Maturity Model Density example –Census 2000 blockgroup density maps –Transit requires density Gray, George Systems and service planning in Gray & Hoel, eds. Public Transportation, 2nd edition. Englewood Cliffs, NJ: Prentice-Hall, pg

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Center for Risk Management of Engineering Systems University of Virginia 19 Multimodal Corridor Maturity Model Future steps –Define the maturity levels of the MCMM based on metrics –Integrate further data into our research Accessibility Investigate multimodal “LOS” Intermodal facilities Global Insight freight data

Center for Risk Management of Engineering Systems University of Virginia 20 Multimodal Corridor Maturity Model Measuring accessibility –Number of opportunities (jobs, households, etc.) within a specific amount of time from a given location by automobile, transit, or some other mode of transportation

Center for Risk Management of Engineering Systems University of Virginia 21 Multimodal Corridor Maturity Model provided by Wendy Klancher, MWCOG

Center for Risk Management of Engineering Systems University of Virginia 22 “Multimodal Transportation Districts: A Creative Planning Tool in Florida” 1999 Florida Growth Management Act authorizes local governments to establish multimodal transportation districts –Areas in which priority is placed on safe, comfortable, attractive pedestrian environments, with convenient interconnection to transit –Supports walking, bicycling and transit use –Enables advance of transportation concurrency Transportation facilities be available concurrent with the impacts of development Presented by Jared Ulmer, Renaissance Planning Group, 04/07/06

Center for Risk Management of Engineering Systems University of Virginia 23 Presented by Jared Ulmer, Renaissance Planning Group, 04/07/06

Center for Risk Management of Engineering Systems University of Virginia 24 Multimodal Transportation Districts –Density bonuses –Mixed-use zoning –Maximum block lengths –Access management; entrances to stores on minor, rather than major roads –On-site multimodal transportation infrastructure –Off-site shared parking –On-site parking behind rather than in front of buildings –Maximum front setbacks –Buildings oriented to the sidewalk –Ground floor transparency –Streetscaping and on-site amenities “Multimodal Transportation Districts: A Creative Planning Tool in Florida” Presented by Jared Ulmer, Renaissance Planning Group, 04/07/06

Center for Risk Management of Engineering Systems University of Virginia 25 Multimodal Level of Service –Bicycle LOS (BLOS), Sprinkle Consulting, Inc. Presence of bike lane Proximity to motorized vehicle Motorized vehicle volume Motorized vehicle speed Percentage large trucks or heavy vehicles Pavement condition Percent on-street parking –Pedestrian LOS (PLOS), Sprinkle Consulting, Inc. Presence of a sidewalk Lateral separation of pedestrian and motorized vehicles Presence of physical barriers and buffers Motorized vehicle volume Motorized vehicle speed “Multimodal Transportation Districts: A Creative Planning Tool in Florida” Presented by Jared Ulmer, Renaissance Planning Group, 04/07/06

Center for Risk Management of Engineering Systems University of Virginia 26 Multimodal Level of Service –Transit LOS (TLOS) Service frequency Pedestrian LOS Span of service Pedestrian crossing difficulty Obstacle to bus stop –Highway LOS (LOS) FDOT’s primary planning software (ARTPLAN) calculates PLOS, BLOS, TLOS, and LOS simultaneously “Multimodal Transportation Districts: A Creative Planning Tool in Florida” Presented by Jared Ulmer, Renaissance Planning Group, 04/07/06

Center for Risk Management of Engineering Systems University of Virginia 27 Concepts of value –Multimodal Transportation Districts –Transportation concurrency –Multimodal LOS MLOScm.pdfhttp:// MLOScm.pdf “Multimodal Transportation Districts: A Creative Planning Tool in Florida”