Modeling the Impact of Tolling in Large-Scale Regional Networks: A Case Study for DVRPC [Supporting Software]
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2023-01-01
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Alternative Title:Philly
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Abstract:Recent years have witnessed a sharp decline in national highway trust fund that is primarily used to support infrastructure construction, expansion and retrofit. This is a challenging and critical issue for almost all states, including Pennsylvania. The primary reason is due to the decline of gas tax collected at gas pumps as a result of adaption of high fuel efficiency vehicles. The most recent and ongoing COVID-19 crisis adds additional burden to this lack of public funds for infrastructure, since the overall travel demand declines drastically. Most of states are currently evaluating the implications of tax loss, and proactively developing plan to collect funds in a more equitable and effective manner. The Pennsylvania Department of Transportation has lately given the green light for a proposal that could add tolls on an undetermined number of bridges, as a way to collect funding to support infrastructure. It imposes a challenge how to effectively and accurately evaluate the societal consequences of tolling of various forms, including social equity, congestion delay, emission, fuel use and potential toll revenue. In this research project, the study team aims to develop a large-scale multi-class network modeling and simulation framework, particularly for Delaware Valley Regional Planning Commission (DVRPC), that holistically models the spatio-temporal behaviors of private cars, ride-hailing cars, freight trucks, respectively. The result includes the prediction of travel time, travel delay, vehicle-mile-traveled and emissions for each of those vehicle classes and travel modes, either at road and intersection level or averaged at community level by time of day. Potential tolling strategies, such as locations and pricing, can be evaluated and deployed, with the trade-off among tolling revenue, system mobility and social equity.
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Content Notes:National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT’s Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. The current level of dataset documentation is the responsibility of the dataset creator. NTL staff last accessed this dataset at its repository URL on 2023-07-27. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
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