As our highway infrastructure continues to age, there is the imperative need to renew the entire network while keeping it operational. Moreover, many highway corridors and regional networks are becoming ever more congested. As a result there is an increasing need to (1) examine various construction alternatives within those corridors and networks to determine the potential disruption and/or benefit that alternative renewal activities may have over time, and (2) examine the effect of constructing multiple corridors concurrently or in sequence. Without an evaluation of the various construction alternatives during the program and project development process, negative impacts on the traveling public and the local communities may increase dramatically. The research on Project R11 focused on answering the following related questions: • How should highway reconstruction projects be set in space and time to minimize disruption to the traveling public, businesses, and adjacent communities? • What is the traffic impact on the regional network when multiple corridors are being considered for renewal? • Are there strategies that may minimize impacts on the corridor and/or regional network? This zip file contains comma separated value (.csv) files of data to support SHRP 2 report S2-R11-RW-1, Strategic approaches at the corridor and network level to minimize disruption from the renewal process. Zip size is 0.46 MB. Files were accessed in Microsoft Excel 2016. Data will be preserved as is. To view the publication see: https://rosap.ntl.bts.gov/view/dot/3612

The goal of the SHRP 2 Project L33 Validation of Urban Freeway Models was to assess and enhance the predictive travel time reliability models developed in the SHRP 2 Project L03, Analytic Procedures for Determining the Impacts of Reliability Mitigation Strategies. SHRP 2 Project L03, which concluded in 2010, developed two categories of reliability models to be used for the estimation or prediction of travel time reliability within planning, programming, and systems management contexts: data-rich and data-poor models. The objectives of Project L33 were the following: • The first was to validate the most important models – the “Data Poor” and “Data Rich” models with new datasets. • The second objective was to assess the validation outcomes to recommend potential enhancements. • The third was to explore enhancements and develop a final set of predictive equations. • The fourth was to validate the enhanced models. • The last was to develop a clear set of application guidelines for practitioner use of the project outputs. The datasets in these 5 zip files are in support of SHRP 2 Report S2-L33-RW-1, Validation of Urban Freeway Models, https://rosap.ntl.bts.gov/view/dot/3604 The 5 zip files contain a total of 60 comma separated value (.csv) files. The compressed zip files total 3.8 GB in size. The files have been uploaded as-is; no further documentation was supplied. These files can be unzipped using any zip compression/decompression software. The files can be read in any simple text editor. [software requirements] Note: Data files larger than 1GB each. Direct data download links: L03-01: https://doi.org/10.21949/1500858 L03-02: https://doi.org/10.21949/1500868 L03-03: https://doi.org/10.21949/1500869 L03-04: https://doi.org/10.21949/1500870 L03-05: https://doi.org/10.21949/1500871

The 2016 NCFO dataset is comprised of the responses of all operators who completed the 2016 Census, reporting 2015 calendar year ferry operations. The NCFO Flat File includes all five data files: ferry operator, vessel, terminal, segment, and operator segment data files in a single dataset.

The 2016 NCFO dataset is comprised of the responses of all operators who completed the 2016 NCFO. The dataset is made up of ferry operator, vessel, terminal and segment data for the 2015 calendar year.