Hsc Multimodal

0 views
Skip to first unread message

Maribeth Seagers

unread,
Jul 26, 2024, 1:59:31 AM7/26/24
to ATB EXECUTIVE MEMBERS

Office of Multimodal Freight Infrastructure and Policy (OST-F) is a new office within the Office of the Undersecretary of Transportation for Policy (S3) established and funded by Congress to carry out the national multimodal freight policy. Congress specified that OST-F shall:

The mission of the Multimodal Transportation Commission (MMTC) is to assist the City in furthering, advancing, and promoting a comprehensive and integrative transportation system that incorporates multimodal concepts, including but not limited to transit, micro-mobility, bicycle and pedestrian facilities, greenways, complete streets, and highways.

To find out more about the sub-committees associated with these concepts visit the Active Transportation Committee and Transit Committee pages. The Multimodal Transportation Commission created the Active Transportation Committee (ATC) on November 15, 2023; the ATC supersedes the former Greenway Committee and Bicycle/Pedestrian Task Force.

Representation and Appointment Process. All members shall be appointed by City Council with input from the Commission. Members shall represent various modes of transportation to include, but not be limited to: transit, greenways, automobiles, bikes, pedestrians, etc. Members shall possess expertise and interest in the sustainability and development of multimodal transportation and demonstrate willingness to participate actively in Commission efforts.

Members shall represent various modes of transportation to include but not be limited to transit, greenways, automobiles, bikes, pedestrians, and/or micro-mobility. Members shall possess expertise and interest in the sustainability and development of multimodal transportation and demonstrate a willingness to participate actively in Commission efforts.

The City of Durango is in a unique position as a smaller community due to immense public and political support for transit, active transportation, transportation demand management, and sustainability. This broad-based community support allows for the implementation of innovative transportation processes and projects. Due in part to this support, the City adopted the Multimodal Transportation Master Plan in 2012, which has been updated twice since, creating the 2023 Multimodal Transportation Plan. This plan guides the implementation of prioritized projects and acts as Durango's framework for multimodal connectivity, accessibility, and safety.

There have been multiple projects identified in the previous versions of the plan that have been implemented over the years in pursuit of the plan's vision. You may have noticed some of the following improvements:

The City of Durango launched the Multimodal Transportation Plan update in 2021 with public outreach to gather community feedback on the existing plan and transportation needs. Outreach included 8 virtual and in person neighborhood meetings, separate meetings with specific population groups, and event booths. Input was also received through 2 online surveys and an online comment map. A summary of the outreach can be found here.

The City awarded a contract in the fall of 2022 to assist with updating the plan. The drafting process started with a visioning meeting with the Multimodal Advisory Board. Engagement feedback is available below.

The 2016 Multimodal Transportation Plan update was adopted by City Council on March 7, 2017 after a year of outreach, including a kickoff meeting and 12 additional public meetings. In addition to public meetings, a Virtual City Hall survey was used for a month to collect public comment. The survey garnered 207 visitors and 159 responses. The final document was updated based on feedback from City Council during the draft plan period and the City Council Study Session on December 13, 2016. The adopted 2016 Multimodal Transportation Plan Update was incorporated as an amendment to the 2012 Multi Modal Transportation Master Plan, which is an amendment to the City's 2007 Comprehensive Plan

The MMOF program seeks to fund multimodal transportation projects throughout the state because, in addition to the general benefits that it provides to all Coloradans, a complete and integrated multimodal transportation system:
(a) benefits seniors by making aging in place more feasible.
(b) benefits residents of rural areas and Disproportionately Impacted (DI) Communities by providing them with flexible public transportation services.
(c) provides enhanced mobility for persons with disabilities.
(d) provides safe routes to schools for children, and
(e) Reduces emissions of air pollutants and Greenhouse Gases that contribute to adverse environmental effects, including but not limited to Climate Change and adverse Human Health Effects.

Interested Applicants: Agencies interested in seeking project funding through the Program should first review the Program Guide below and contact their respective TPR Contacts to engage in their individual selection processes.

16. Abstract:
The Guidebook for Measuring Multimodal Network Connectivity is a guide for transportation planners and analysts on the application of analysis methods and measures to support transportation planning and programming decisions. It describes a five-step analysis process and numerous methods and measures to support a variety of planning decisions. It includes references and illustrations of current practices, including materials from five case studies conducted as part of the research process.

This document is disseminated under the sponsorship of the U.S. Department of Transportation in the interest of information exchange. The U.S. Government assumes no liability for the use of information contained in this document. The U.S. Government does not endorse products or manufacturers. Trademarks or manufacturers' names appear in this report only because they are considered essential to the objective of this document. The contents of this report reflect the views of the authors, who are responsible for the facts and accuracy of the data presented herein. The contents do not necessarily reflect the official policy of the U.S. Department of Transportation. This report does not constitute a standard, specification, or regulation.

This report discusses general research associated with performance measures and elements of a performance management framework. This report was not intended to address the specific requirements associated with the FHWA rule that established national measures for system performance and other associated requirements, including specific target setting, data collection/reporting, and other general reporting requirements. That final rule ["National Performance Management Measures; Assessing Performance of the National Highway System, Freight Movement on the Interstate System, and Congestion Mitigation and Air Quality Improvement Program": Docket No. FHWA-2013-0054, RIN 2125-AF54, Federal Register - Vol. 82, No. 11, Pg. 5970 - January 18, 2017] can be found at: -2017-01-18/pdf/2017-00681.pdf. Within this final rule a measure to track the percentage of travel occurring in non-single occupancy vehicles (non-SOV) was established to reflect multimodal transportation use. The FHWA acknowledged in the rulemaking that the approaches to effectively track multimodal performance will improve with time, and, for this reason, noted that the required non-SOV measure will serve as a starting point. The FHWA further discussed its intent to revisit this measure in the future, as research projects underway to evaluate multimodal performance reach their completion. This report is an example of a research project that will help inform transportation decision makers in how they can effectively measure and improve multimodal performance. Complimentary efforts that are underway both within and outside of FHWA will be used as well to evaluate how and when required multimodal performance measures can be improved.

In 2016 the United States Department of Transportation (USDOT) Federal Highway Administration (FHWA) published a Guidebook for Developing Pedestrian and Bicycle Performance Measures that presents methods for measuring walking and bicycling performance and activities and embedding them into the transportation planning and decisionmaking process (U.S. Department of Transportation 2016). Building on the 2016 guidebook, this resource focuses on pedestrian and bicycle network connectivity and provides information on incorporating connectivity measures into state, metropolitan, and local transportation planning processes. Connectivity measures can help transportation practitioners identify high priority network gaps, implement cost-effective solutions that address multiple needs, optimize potential co-benefits, and measure the long-term impacts of strategic pedestrian and bicycle investments on goals such as improving safety, system efficiency, network performance, and access to key destinations. Toward that end, this resource should be used in conjunction with self-evaluation and transition plans to evaluate needs for pedestrians with disabilities.

Connectivity is one of several concepts commonly used in transportation performance measurement to describe the ease with which people can travel across the transportation system. At its simplest level, network connectivity addresses the question, "Can I get where I want to go easily and safely?" Multimodal network connectivity adds the dimension of travel choices to the picture: "Can I get where I want to go easily and safely in whatever way I choose-for example, walking, bicycling, using transit, or driving?" A connected multimodal network allows people to travel by whatever mode they choose, including people who do not drive or do not have access to a motor vehicle.

This guidebook outlines five core components of multimodal network connectivity, as listed below, with a focus on pedestrians and bicyclists. While these components are all related, the distinctions between them provide a framework for selecting connectivity measures that address specific questions. The guidebook describes analysis methods and supporting measures associated with each of these components.

Reply all
Reply to author
Forward
0 new messages