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Travel times, operating speeds, and service reliability influence costs and service attractiveness. This research outlines an approach...
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Summary: This presentation is a showcase of various GIS tools developed for bicycle network analysis and planning. The showcase includes a tool for assessing community-wide bikeability, a tool for forecasting bicycle volumes based on street topology, and a tool for evaluating different bicycle improvement plans in terms of exposure to danger situations for bicyclists. The tools will be demonstrated with case study data. The presentation will include a review of the Highway Capacity Manual Bicycle Level of Service and a discussion about using bicycle and pedestrian data collected through citizen-volunteer count programs.
Bio: Dr. Michael Lowry holds a joint appointment in Civil Engineering and Bioregional Planning at the University of Idaho. He is an affiliate researcher for the National Institute for Advanced Transportation Technology. His research focuses on capital investment decision-making and transportation planning for bicyclists and pedestrians. Dr. Lowry teaches courses related to sustainable transportation, engineering statistics, and economic analysis. He received his PhD in Civil and Environmental Engineering from the University of Washington and BS and MS from Brigham Young University.
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Adam Moore: Bus Stop Air Quality: An Empirical Analysis of Exposure to Particulate Matter at Bus Stop Shelters
Congested traffic corridors in dense urban areas are key contributors to the degradation of urban air quality. While waiting at bus stops, transit patrons may be exposed to greater amounts of vehicle-based pollution, including particulate matter, due to their proximity to the roadway. Current guidelines for the location and design of bus stops do not take into account air quality or exposure considerations. This study compares the exposure of transit riders waiting at three-sided bus stop shelters that either: 1) face the roadway traffic or 2) face away from the roadway traffic. Shelters were instrumented with air quality monitoring equipment, sonic anemometers, and vehicle counters. Data were collected for two days at three shelters during both the morning and afternoon peak periods. Bus shelter orientation is found to significantly affect concentration of four sizes of particulate matter: ultrafine particles, PM1, PM2.5, and PM10. Shelters with an opening oriented towards the roadway were consistently observed to have higher concentrations inside the shelter than outside the shelter. In contrast, shelters oriented away from the roadway were observed to have lower concentrations inside the shelter than outside the shelter. The differences in particulate matter...
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Summary: The transportation system is the backbone of the United States' economy, and transportation is an essential part of everyday life for American citizens. It is essential that the transportation system continue to provide accessibility and connectivity to an ever-evolving global economy. A key way to do so is to embrace, develop and implement new technologies. One of the newest and most promising facets of transportation-related technology is in the field of connected mobility. The vision behind connected mobility is of a transportation system where vehicles, travelers, and infrastructure are all wirelessly connected with one another and able to transmit real-time data about things like weather, location, and vehicle and infrastructure status. Such a degree of connectivity could have substantial benefits for the safety, mobility, and sustainability of the domestic transportation system, including accident prevention and congestion reduction. In recent years, major strides have been made into the research and development of connected mobility technology and some field-testing has commenced, but there is a need for more attention and investment from stakeholders throughout the transportation community and beyond.
Bio: Robert Bertini is a...
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Abstract: This report offers a new view of urban transportation performance. It explores the key role that land use and variations in travel distances play in determining how long Americans spend in peak hour travel. It shows how the key tool contained in the Urban Mobility Report – the Travel Time Index – actually penalizes cities that have shorter travel distances and conceals the additional burden caused by longer trips in sprawling metropolitan areas. Finally, it critically examines the reliability and usefulness of the methodology used in the Urban Mobility Report, finding it does not accurately estimate travel speeds, it exaggerates travel delays, and it overestimates the fuel consumption associated with urban travel. How we measure transportation systems matters, and the nation needs a better set of measures than it has today.