التفاصيل البيبلوغرافية
| العنوان: |
Tier 1 University Transportation Center Match Funds for the Strategic Implications of Changing Public Transportation Travel Trends |
| المؤلفون: |
Brakewood, Candace, Cherry, Christopher, Ziedan, Abubakrt, Shah, Nitesh, Aryal, Sameer, Hightower, Ashley, Whitehouse, Grace, University of Tennessee, Knoxville, Transit –Serving Communities Optimally, Responsively, and Efficiently (T-SCORE) Center UTC |
| المساهمون: |
Tennessee. Department of Transportation, United States. Department of Transportation. Federal Highway Administration, United States. Department of Transportation. University Transportation Centers (UTC) Program |
| بيانات النشر: |
Transit – Serving Communities Optimally, Responsively, and Efficiently (T-SCORE) Center [UTC] |
| مصطلحات موضوعية: |
COVID-19, Data management, Mobility, Travel demand, Public transit, Ridership, Fares, Pricing, Micromobility, Mobility as a Service |
| جغرافية الموضوع: |
Tennessee, United States |
| الوصف: |
69A3552047141 ; Even before the onset of the COVID-19 pandemic, public transit ridership was declining in many metropolitan areas in the United States. To regain riders, transit agencies and their partners must make decisions about which strategies and policies to pursue within the constraints of their operating environments. To help address this, the Transit-Serving Communities Optimally, Responsively, and Efficiently (T-SCORE) Tier 1 University Transportation Center was set up as a research consortium from 2020 to 2023 led by Georgia Tech with research partners at the University of Kentucky, Brigham Young University and University of Tennessee, Knoxville (UTK). The T-SCORE Center had two primary research tracks: (1) Community Analysis (led by the University of Tennessee; included in this report) and (2) Multi-Modal Optimization and Simulation (led by the University of Kentucky; not included). The Community Analysis research track employed a combination of quantitative and qualitative research methods to assess three main drivers of change that have affected transit ridership: price and socioeconomic factors, the competitive landscape, and system disruptions, including COVID-19. The research approach for the Community Analysis track was divided into separate projects, and the UTK team led three projects that aimed to: (1) quantify the impact of different factors affecting transit ridership - including the COVID-19 pandemic - at a nationwide scale; (2) assess the impacts of shared micromobility, particularly electric scooters, on transit ridership; and (3) evaluate new fare payment technologies and emerging pricing strategies, with the vision of taking a step toward Mobility-as-a-Service (MaaS). The findings of these three Community Analysis projects can help inform transit agencies and city officials making decisions about how to increase transit ridership and plan for a sustainable future. |
| نوع الوثيقة: |
other/unknown material |
| وصف الملف: |
PDF |
| اللغة: |
English |
| العلاقة: |
https://rosap.ntl.bts.gov/view/dot/67064Test |
| الإتاحة: |
https://rosap.ntl.bts.gov/view/dot/67064Test |
| رقم الانضمام: |
edsbas.ED1A6386 |
| قاعدة البيانات: |
BASE |
