Transport Research International Documentation (TRID) https://trid.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) Transport Research International Documentation (TRID) https://trid.trb.org/Images/PageHeader-wTitle.jpg https://trid.trb.org/ Evaluating the distributional impact of urban rail improvements: Logsum accessibility measures incorporating income class and household type https://trid.trb.org/View/2652394 Thu, 26 Mar 2026 16:59:30 GMT https://trid.trb.org/View/2652394 A Voting-Based Robust Estimator Aided by INS Redundancy for Tightly Coupled GNSS/INS Integration in Urban Environment https://trid.trb.org/View/2674292 Wed, 25 Mar 2026 11:44:57 GMT https://trid.trb.org/View/2674292 Evaluating Walkable Communities: The Walking Propensity Index in Tokyo https://trid.trb.org/View/2669842 Mon, 23 Mar 2026 15:21:00 GMT https://trid.trb.org/View/2669842 Development of an Accessibility Analysis Framework Toward Inclusive Mobility: Focusing on Preference Inter-heterogeneity and Predictive Uncertainty https://trid.trb.org/View/2655505 Mon, 23 Mar 2026 15:20:59 GMT https://trid.trb.org/View/2655505 Demand Estimation and Feasibility Study of Intercity eVTOL Shuttle Services for Business Use between Central Tokyo and Major Cities in the Northern Kanto Region of Japan https://trid.trb.org/View/2655497 Mon, 23 Mar 2026 15:20:59 GMT https://trid.trb.org/View/2655497 STUDY ON CLASSIFICATION METHOD FOR BIKE SHARING STATIONS CONSIDERING TEMPORAL DEMAND VARIATIONS https://trid.trb.org/View/2655492 Mon, 23 Mar 2026 15:20:58 GMT https://trid.trb.org/View/2655492 Hybrid optimization of ship route and speed for energy efficiency under dynamic marine conditions https://trid.trb.org/View/2667980 Tue, 24 Feb 2026 15:39:13 GMT https://trid.trb.org/View/2667980 Applicability of exploratory scenario planning in urban transportation planning processes https://trid.trb.org/View/2613555 Tue, 20 Jan 2026 10:17:49 GMT https://trid.trb.org/View/2613555 Changes in Activity-Travel Behavior in Surrounding Areas Segmented by Visit Patterns Before and After Large-Scale Urban Redevelopment https://trid.trb.org/View/2613520 Tue, 20 Jan 2026 10:17:49 GMT https://trid.trb.org/View/2613520 Variations in telework implementation challenges and prospects based on work styles https://trid.trb.org/View/2613489 Tue, 20 Jan 2026 10:17:49 GMT https://trid.trb.org/View/2613489 Issues of Location Optimization Planning From the Perspective of Origin–Destination Patterns https://trid.trb.org/View/2613413 Wed, 14 Jan 2026 17:40:22 GMT https://trid.trb.org/View/2613413 Airport system development and urban development: Scenario analysis in the Tokyo metropolitan area https://trid.trb.org/View/2633493 Mon, 29 Dec 2025 09:35:56 GMT https://trid.trb.org/View/2633493 Modeling interdependent choices of remote working centers and transportation with attitudes through latent variables https://trid.trb.org/View/2628422 Wed, 17 Dec 2025 08:49:03 GMT https://trid.trb.org/View/2628422 Pollution, degradation, and risk assessment of microplastic (> 30 μm) in subsurface (5 m) seawaters along Tokyo-Bangkok shipping route https://trid.trb.org/View/2607718 30 μm) were collected from subsurface seawater (5 m depth) along a major Asia–Pacific shipping route from Tokyo to Bangkok. The samples were characterized, ecological risk was assessed, and results were also compared with surface water samples. The results showed spatial variation in microplastic concentrations along the route, with the highest concentration (5904 pieces/m³) observed in the South China Sea and the lowest concentration (3272 pieces/m³) in the offshore Tokai region. Subsurface microplastic concentrations were generally higher than surface concentrations. Polyethylene (PE) was the dominant polymer type, and polymer diversity was lower in the subsurface than in surface waters. Subsurface microplastics were found to be smaller in size while less degraded compared to surface microplastics. Despite higher concentrations, ecological risk levels at the subsurface were comparable to those in the surface due to the presence of less toxic polymer types in subsurface samples. Further evaluation indicated that estimated ecological risk levels are strongly influenced by mesh selectivity and the spatial coverage of sampling stations. This study highlights the spatial heterogeneity of subsurface microplastics and reveals important differences from surface counterparts. In addition, relying solely on surface data may result in biased estimation of total microplastic exposure and ecological impact. The findings from this study provide valuable reference data for future investigations, and can help the design of monitoring programs, the development of environmental policies, and the formulation of mitigation strategies.]]> Mon, 15 Dec 2025 10:34:09 GMT https://trid.trb.org/View/2607718 Going the extra mile: Estimating the willingness to travel to meet with friends using a joint destination choice model https://trid.trb.org/View/2608349 Mon, 17 Nov 2025 16:38:20 GMT https://trid.trb.org/View/2608349