Field Operational Test of Tools for Facilitating Smart Travel Choices Through Real-Time Information

Zhou, Kun; Wang, Yanqiao; Li, Jingquan; Wachs, Martin; Walker, Joan L; Meng, Huadong; Friedman, Jason; Zhang, Wei-bin · 2015 · ROSA P / California. Dept. of Transportation. Division of Research and Innovation

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Summary

This study addresses the persistent problem of highway congestion in metropolitan areas by investigating whether integrated, real-time multimodal traveler information can encourage drivers to shift from single-occupancy vehicles to transit or adjust their travel times. The research is motivated by the observation that while infrastructure improvements and Intelligent Transportation Systems (ITS) have improved road services, traffic demand often exceeds capacity, leading to significant economic and environmental costs. The authors hypothesize that providing travelers with accurate, comparative data on driving and transit options can overcome psychological barriers and habitual behaviors, thereby reducing congestion, fuel consumption, and emissions. To test this hypothesis, the California PATH Program, in partnership with the California Department of Transportation and the Los Angeles Metropolitan Transportation Authority, developed and field-tested "Trip2Go," a suite of web-based and mobile applications. The system integrated real-time transit arrival times, highway condition data, and parking availability to allow users to plan and compare trips based on travel time, cost, and carbon footprint. The field operational test (FOT) was conducted in the Los Angeles area between February and September 2015. After recruiting 316 volunteers, 65 participants were selected for the test, resulting in 1,135 recorded full trips and 334 instances of trip advisory usage. Data collection included objective GPS trajectories and traffic conditions, as well as subjective daily surveys and entry/exit questionnaires to assess usability and behavioral changes. The results indicate that real-time information significantly influenced travel decisions, particularly for non-commute trips. Nearly 40% of travelers changed their plans for non-commute trips after consulting Trip2Go, with 50% of those changes involving a different travel mode. In contrast, the impact on commute trips was more limited; less than 20% of commuter trips were influenced by the information, with changes primarily involving route or departure time adjustments rather than mode shifts. Only four trips changed mode from transit to driving. Behavioral response models developed from the data confirmed that travelers tend to stick to their typical modes but are likely to choose alternative modes if travel times are significantly shorter. User feedback was generally positive, with 50% of users satisfied with the system’s performance and many continuing to use it post-test. However, limitations were noted regarding the accuracy of schedule-based information for routes lacking real-time data. The study concludes that integrated real-time multimodal information can effectively alter travel behavior by advising travelers to avoid incidental congestion, thereby contributing to congestion relief. While mode shifts were more prevalent in non-commute scenarios, the ability to influence departure times and routes suggests that such tools can reduce peak-hour demand. The findings imply that for traveler information systems to be effective in promoting mode shift, they must provide accurate, comparative, and integrated data across multiple modes. This approach offers a cost-effective demand management strategy that complements infrastructure investments by empowering travelers to make informed choices that benefit the broader transportation network.

Key finding

Nearly 40% of travelers changed their plans for non-commute trips after consulting with Trip2Go, with 50% of those changes involving a different travel mode, while commute trip changes were primarily limited to route and time adjustments.

Methodology

field_study

Sample size: 83

Provenance

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Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

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