Accessibility and Behavior Impacts of Bus-Highway System Interactions

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Co-Investigator

Project Summary:

This project is improving accessibility calculation capabilities and understanding of travel behavior by integrating data about highway bus operations, park-and-ride facilities, and urban parking costs. Each component is being analyzed individually and then merged to develop a recommended methodology for calculating accessibility and for estimating traveler mode choice in contexts where park-and-ride transit is an option. The results can be applied to better understand current accessibility conditions and travel behavior, to evaluate planning scenarios and guide project selection/prioritization, and to inform operational decisions involving park-and-ride facilities and highway transit operations. Where possible and appropriate, the accessibility metrics used in the project incorporate measures of variation in order to reflect the reliability of different transportation modes in providing access to destinations. First, highway bus operations are analyzed by combining GPS-based highway congestion/speed data with transit schedules and vehicle location data to estimate the accessibility impact of different highway operating environments for buses (including general-purpose lanes, bus-on-shoulder operation, and managed lanes). Second, park-and-ride (P&R) facilities are analyzed by first calculating accessibility from home location to P&R locations and from P&R locations to job locations and then merging these into a combined home-work accessibility metric that includes the time cost of pedestrian travel within P&R lots and from the final transit stop to the destination. Third, urban parking costs are analyzed based on locating and surveying parking lot operators to collect both daily and contract parking rates. Fourth, these three components are combined in a "time + money" accessibility metric that reflects the cost of travel. This includes not just time, but also financial costs such as transit fares, parking fees, personal vehicle operating costs, and value of time based on typical wage levels at origin locations. This accessibility metric is being combined with results from earlier and ongoing research to produce a more robust, accessibility-based model of mode choice which, for the first time, includes P&R transit as a distinct mode. Finally, the project will demonstrate how these metrics and tools can be applied to hypothetical planning scenarios involving P&R facilities and highway bus operations.

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