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• 1. [Article] Annual Metro Regional Trail Count and Why Local Extrapolation Factors Matter

  Metro, Portland's regional governing agency, conducts annual two-hour counts along its regional trail every September. This upcoming fall (2017) will be the 10th year that the counts have been held, which ...

  Citation × Citation Citation Abstract Copy Title: Annual Metro Regional Trail Count and Why Local Extrapolation Factors Matter Author: Gibson, Geoff Year: 2017 Metro, Portland's regional governing agency, conducts annual two-hour counts along its regional trail every September. This upcoming fall (2017) will be the 10th year that the counts have been held, which means we at Metro can finally start seeing noticeable, long-lasting trends in the regional trail network. Perhaps more importantly, we are seeing how these data have directly impacted investments in future trail, bicycle, and pedestrian projects. This seminar will cover the history of the program, details of how it's conducted and why it's conducted that way, how data are used (including an inside look at future iterations of Metro's interactive trail count map), and why creating local extrapolation factors for adjusting to annual traffic is so important. Title: Annual Metro Regional Trail Count and Why Local Extrapolation Factors Matter Author: Gibson, Geoff Year: 2017 Metro, Portland's regional governing agency, conducts annual two-hour counts along its regional trail every September. This upcoming fall (2017) will be the 10th year that the counts have been held, which means we at Metro can finally start seeing noticeable, long-lasting trends in the regional trail network. Perhaps more importantly, we are seeing how these data have directly impacted investments in future trail, bicycle, and pedestrian projects. This seminar will cover the history of the program, details of how it's conducted and why it's conducted that way, how data are used (including an inside look at future iterations of Metro's interactive trail count map), and why creating local extrapolation factors for adjusting to annual traffic is so important. Close

• 2. [Article] Using "Big Data" for Transportation Analysis: A Case Study of the LA Metro Expo Line

  Access to a comprehensive historical archive of real-time, multi-modal multi-agency transportation system data has provided a unique opportunity to demonstrate how “big data” can be used for policy analysis, ...

  Citation × Citation Citation Abstract Copy Title: Using "Big Data" for Transportation Analysis: A Case Study of the LA Metro Expo Line Author: Rhoads, Mohja L. Year: 2014 Access to a comprehensive historical archive of real-time, multi-modal multi-agency transportation system data has provided a unique opportunity to demonstrate how “big data” can be used for policy analysis, and to offer new insights for planning scholarship and practice. We illustrate with a case study of a new rail transit line. We use transit, freeway, and arterial data of high spatial and temporal resolution to examine transportation system performance impacts of the Exposition (Expo) light rail line (Phase 1) in Los Angeles. Using a quasi-experimental research design, we explore whether the Expo Line has had a significant impact on transit ridership, freeway traffic, and arterial traffic within the corridor it serves. Our results suggest a net increase in transit ridership, but few effects on traffic system performance. Given the latent travel demand in this heavily congested corridor, results are consistent with expectations. The benefits of rail transit investments are in increasing transit accessibility and person throughput within high-demand corridors; effects on roadway traffic are small and localized. Title: Using "Big Data" for Transportation Analysis: A Case Study of the LA Metro Expo Line Author: Rhoads, Mohja L. Year: 2014 Access to a comprehensive historical archive of real-time, multi-modal multi-agency transportation system data has provided a unique opportunity to demonstrate how “big data” can be used for policy analysis, and to offer new insights for planning scholarship and practice. We illustrate with a case study of a new rail transit line. We use transit, freeway, and arterial data of high spatial and temporal resolution to examine transportation system performance impacts of the Exposition (Expo) light rail line (Phase 1) in Los Angeles. Using a quasi-experimental research design, we explore whether the Expo Line has had a significant impact on transit ridership, freeway traffic, and arterial traffic within the corridor it serves. Our results suggest a net increase in transit ridership, but few effects on traffic system performance. Given the latent travel demand in this heavily congested corridor, results are consistent with expectations. The benefits of rail transit investments are in increasing transit accessibility and person throughput within high-demand corridors; effects on roadway traffic are small and localized. Close