Research in Progress (RIP) https://rip.trb.org/ en-us Copyright © 2026. National Academy of Sciences. All rights reserved. http://blogs.law.harvard.edu/tech/rss tris-trb@nas.edu (Bill McLeod) tris-trb@nas.edu (Bill McLeod) Research in Progress (RIP) https://rip.trb.org/Images/PageHeader-wTitle-RIP.jpg https://rip.trb.org/ A Generative AI Framework for Managing Public Comments in Transportation Agency Assessments https://rip.trb.org/View/2606403 Thu, 02 Oct 2025 15:03:39 GMT https://rip.trb.org/View/2606403 Comparing Pricing Mechanisms of Managed Lanes: Performance Assessment of PR-22 Dynamic Toll Lanes https://rip.trb.org/View/2589111 Sat, 16 Aug 2025 23:49:20 GMT https://rip.trb.org/View/2589111 Evaluating the Willingness to Pay for Managed Lanes (MLs) https://rip.trb.org/View/2563659 Wed, 11 Jun 2025 13:19:33 GMT https://rip.trb.org/View/2563659 How Effective Are Attitudinal Variables at Improving Travel Behavior Models? Evaluation Using an Overlapping Sample From an Attitude-Rich Survey and the 2017 National Household Travel Survey https://rip.trb.org/View/2553161 Thu, 15 May 2025 14:39:16 GMT https://rip.trb.org/View/2553161 Michigan Mobility Metrics (M3): An Outcome-Focused, Multi-Year Survey Deployment and Data Collection Effort https://rip.trb.org/View/2553155 Tue, 13 May 2025 19:21:27 GMT https://rip.trb.org/View/2553155 Explanatory Sequential Mixed Methods Study: Integrating Surveys and Semi-Structured Interviews to Explore Cell Phone Use While Driving and Emerging Technologies for Behavior Mitigation https://rip.trb.org/View/2472696 Mon, 09 Dec 2024 10:08:47 GMT https://rip.trb.org/View/2472696 Exploring the Changing Dynamics of Household Vehicle Ownership and Use in the U.S. https://rip.trb.org/View/2440045 Thu, 10 Oct 2024 17:16:55 GMT https://rip.trb.org/View/2440045 How Effective are Marker Variables at Predicting Attitudinal Factor Scores? An Out-of-sample Evaluation https://rip.trb.org/View/2440257 Thu, 10 Oct 2024 15:50:08 GMT https://rip.trb.org/View/2440257 Investigating the Impact of Enforcement and Education on Reducing Drug-Impaired Driving https://rip.trb.org/View/2430395 Sun, 15 Sep 2024 22:33:08 GMT https://rip.trb.org/View/2430395 Drivers' Knowledge/ Correct Use of New Technology Features in Vehicles: Follow-on https://rip.trb.org/View/2384952 Thu, 30 May 2024 12:00:18 GMT https://rip.trb.org/View/2384952 Early Understanding of Advanced Air Mobility (AAM): Public Perceptions of Opportunities and Obstacles https://rip.trb.org/View/2343958 Thu, 22 Feb 2024 16:23:25 GMT https://rip.trb.org/View/2343958 Evaluating the Impacts of Age and Health on Different Aspects of Mobility and Driving Behaviors https://rip.trb.org/View/2325917 Tue, 23 Jan 2024 14:11:48 GMT https://rip.trb.org/View/2325917 On the Role of Perceived Safety Concerns on Public Acceptance Behavior of Autonomous Vehicles https://rip.trb.org/View/2292666 Tue, 21 Nov 2023 18:22:00 GMT https://rip.trb.org/View/2292666 Bike Lending in North America: Understanding Business Models, User Acceptance, Social Equity, and Public Safety https://rip.trb.org/View/2292798 Tue, 21 Nov 2023 16:44:59 GMT https://rip.trb.org/View/2292798 Understanding Transit User Experience and Expectations in Under-served Communities https://rip.trb.org/View/2292690 80 F or below <40 F). We ask: which capital improvements have the biggest return on investment at bus stops that might reduce the negative experience of waiting for transit? Methodologically, by relying on video/phone-based interviews with transit experts across the United States, we are interested in learning agency-side responses to effective investments at bus stops, including constraints that agencies face. We will also conduct a series of focus groups and/or interviews with bus riders, particularly those in low-income and under-served communities, to hear transit experiences and learn about the specific needs of riders. This work will be conducted in the Denver region in coordination with the Regional Transportation District. Based on this body of evidence, we will design and implement a national-wide survey, built on a choice-experiment framework, that will test tradeoffs between operational improvements (e.g., increasing frequency), various types of bus top investments (e.g., shelters, benches, ADA-compliant ramps, real time information, lighting, safety call buttons, cameras, among others), and other programmatic investments (e.g., fare-free transit). We will vary the weather attributes in the choice set to seek better insights from riders who experience daily and seasonal variations differently than automobile travelers. This approach will control respondents’ preference ordering as well as internal contradictory among preferences. By asking respondents to evaluate trade-offs, the results will better speak to preferences as well as facilitate a weighted economic benefit analysis where we can score preferences based on dollars spent. By trying to decipher how various investments impact the value of wait time, we will create a generalizable set of findings that can apply across various situations and contexts. ]]> Mon, 20 Nov 2023 16:41:51 GMT https://rip.trb.org/View/2292690