Download presentation
Presentation is loading. Please wait.
1
2045 Long-Range Transportation Plan:
9/1/ :22 AM Workshop Agenda Item #15 Consent Agenda Item #23-V 2045 Long-Range Transportation Plan: Regional Scenario Planning Framework Hampton Roads Transportation Planning Organization July 18, 2019 Dale M. Stith, AICP, GISP Principal Transportation Planner © 2007 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.
2
2045 LRTP: Current Key Milestones
Socio-economic Forecast and TAZ Allocation Scenario Planning Framework LRTP Vision & Goals Collection of Candidate Projects Scenario Planning Analysis Project Prioritization of Candidate Projects Develop Financial Plan Develop Final List of Projects 2045 LRTP Adoption Date: June 2021 Current Key Milestones: Updating Regional Travel Demand Model Developing Vision and Goals Collecting Candidate Projects Project Prioritization Tool Enhancements Scenario Planning Framework and Tools 2
3
Scenario Planning Long-Range Transportation Planning Predictive
Normative: What SHOULD Happen? Exploratory: What COULD Happen? Trend Lines, Expected, Probable or Baseline Identifies Preferred Scenario: Prescriptive Explores Uncertainties: Opportunities, Risks, Plausible Futures A lot of unknowns The purpose of these Scenarios is not to predict the future The purpose is to have plausible alternative futures against which to test Transportation Alternatives Being done in coordination with the RCS (RCS consultants developing the models, framework – will be applied to RCS and 2045 LRTP) 3
4
Exploratory Scenario Planning
Evaluate and rank projects ACROSS all scenarios 2045 Baseline Scenario Develop Plausible Futures Identify projects that fare best Most cumulative benefit regardless of alternative future scenario 2045 Alternative Scenario 3 2045 Alternative Scenario 1 2045 Alternative Scenario 2 Most Robust Projects Distinct scenarios in order to separately evaluate benefits Instead want to identify Most ROBOST projects. HRTF – Most robust Congestion Relief projects 4
5
Modeling the Scenarios
Land Use Model Land Use Indicators HRTPO PROJECT PRIORITIZATION TOOL Project Utility Economic Vitality Project Viability Travel Demand Model Transportation Indicators Economic Model (TREDIS) Economic Indicators Objective Data-driven (like our Prioritization process) Models will interact and produce outputs to incorporate into Prioritization Tool 5
6
Regional Scenario Planning Framework
Regional Place Types Virtual 2015 Virtual 2045 2045 Greater Growth Scenario Narratives Drivers Themes Greater Growth Control Total Employment Growth in addition to 2045 Baseline Check in point Framework will drive the analysis 6
7
Regional Place Types Unified set of data that describes regional development patterns Existing and Future Land Use (consistent with Locality Comprehensive Plans) Quantitative, summarizing land use, developed areas, and environmental data Control Totals for reconciling Place Types densities Approved 2015 and 2045 Transportation Analysis Zone (TAZ) Data Help identify where growth can occur 7
8
Scenarios: Spatial Themes
What happens if jobs focus on the waterfront, housing choices are varied, and transportation technology adoption is moderate? Greater Growth on the Water What happens if jobs and housing focus in urban areas, with greater multimodal availability and high adoption of connected vehicle technology? Greater Growth in Urban Centers What happens if jobs and housing are developed in dispersed activity centers, with a higher level of truck transportation and high adoption of autonomous vehicle technology? Greater Suburban/ Greenfield Growth Multimodal includes walk, bike, transit, TNC 8
9
Scenario Narratives W H A T T H E S E W I L L H E L P U S T E S T
Greater Growth on the Water Growth in water-oriented activity. Port of Virginia becomes even more competitive with freight more multimodal. More dispersed housing locations. Moderate assumptions for CAV adoption and network adaptation. Greater Growth in Urban Centers Significant economic diversification. Low space requirements per job. Large role for “digital port.” New professionals prefer to live/work in urban settings. High level of CV adoption and low auto ownership/high TNC mode. Greater Suburban/ Greenfield Growth Growth is suburban/ exurban, but growth includes walkable mixed use centers. Port of Virginia becomes even more competitive. “Digital port” brings additional jobs. Housing is more suburban. High level of AV adoption and network adaptation. W H A T T H E S E W I L L H E L P U S T E S T Test greater cross-harbor travel in particular. Test more urban and multimodal travel patterns. Test more overall regional travel. Multimodal includes walk, bike, transit, TNC NOTE: Sea Level Rise assumed as 3 ft. in all Scenarios 9
10
Greater Growth Control Totals
Establish a Control Total for the “Greater Growth” Alternate Scenarios to stress test transportation alternatives The overall goal is to provide differentiation between the scenarios Too little growth could dilute differences between scenarios Too much growth with widespread, severe congestion could mask differences between scenarios (i.e. anything added to the network will also become congested) Believable narratives – plausible growth +8% +16% % Increase 1,027k 81k sweet spot – move the needle, but don’t overload the system. Must be plausible. Not a prediction of the future. Looked at: Retrospective employment growth , 2045 Baseline forecast, Alternative future growth forecasts, Exploration (e.g. Amazon HQ2) Travel model sensitivity testing Range: 12%-21%. Starting with 16%. Appears to be enough to move the needle without overloading the network. Believable story line. Doubles the 2045 baseline employment growth forecast (+ another 81k jobs). 10
11
Coordination and Input
(2) Workshops (7) Webinars s, Conference Calls, Meetings between Locality Staff/HRTPO/HRPDC/RCS Consultants Reviewed and Approved by: Long-Range Transportation Plan Subcommittee Transportation Technical Advisory Committee Regional Connector Study Working Group Regional Connector Study Steering Committee Public Review and Comment Period July 3-17, 2019 11
12
Recommended Action Approve the Regional Scenario Planning Framework
Regional Place Types Scenario Narratives Greater Growth Control Total for Additional 2045 Growth Recommend starting with 16% employment growth over 2015 (this will be an additional 8% over the 2045 Baseline 8% increase) If 16% does not produce sufficient variation/distinction among the alternative scenarios, then rate can be modified up to 21% 12
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.