New Paper Published by SafeTREC Researcher Aditya Medury
SafeTREC postdoctural researcher Aditya Medury has co-authored a newly published paper, "Pedestrian Count Expansion Methods: Bridging the Gap between Land Use Groups and Empirical Clusters" with researchers Julia B. Griswold, Louis Huang and Offer Grembek in the Transportation Research Record: Journal of the Transportation Research Board.
New Paper Published by SafeTREC Researcher Julia Griswold
SafeTREC researcher Julia B. Griswold has co-authored a newly published paper, "A Pedestrian Exposure Model for the California State Highway System" with researchers Aditya Medury, Robert J. Schneider, Dave Amos, Ang Li and Offer Grembek in the Transportation Research Record: Journal of the Transportation Research Board.
NEW PAPER PUBLISHED BY SAFETREC RESEARCHER JULIA GRISWOLD
SafeTREC researcher Julia B. Griswold has co-authored a newly published paper, "Comparison of Pedestrian Count Expansion Methods: Land Use Groups versus Empirical Clusters" with researchers Aditya Medury, Robert J. Schneider and Offer Grembek in the Transportation Research Record: Journal of the Transportation Research Board.
Expansion factors based on the trends in long-term count data are useful tools for estimating daily, weekly, or annual volumes from short-term counts, but it is unclear how to differentiate locations by activity pattern. This paper compares two approaches to developing factor groups for hour-to-week pedestrian count expansion factors. The land use (LU) classification approach assumes that surrounding LUs affect the pedestrian activity at a location, and it is easy to apply to short-term count locations based on identifiable attributes of the site.
NCHRP Report 797: Guidebook on Pedestrian and Bicycle Volume Data Collection is directed to practitioners involved in collecting non-motorized count data. The Guidebook (1) describes methods and technologies for counting pedestrians and bicyclists, (2) offers guidance on developing a non-motorized count program, (3) gives suggestions on selecting appropriate counting methods and technologies, and (4) provides examples of how organizations have used non-motorized count data to better fulfill their missions.
Bicycle volume data are useful to practitioners and researchers to understand safety, travel behavior, and development impacts. This paper describes the methodology used to develop several simple models of bicycle intersection volumes in Alameda County, California. The models are based on two-hour bicycle counts performed at a sample of 81 intersections in the Spring of 2008 and 2009. Study sites represented areas with a wide range of population density, employment density, proximity to commercial property, neighborhood income, and street network characteristics.
This paper presents a new method for forecasting cyclist volume and route choice based on space syntax techniques for urban analysis. Space syntax has been shown to correlate strongly with pedestrian and vehicular trips in a number of international studies, but little research to date has focused on the role of urban form and street network design in cyclist route choice. This paper addresses this gap by analyzing the distribution of cycling trips in the central London area, focusing on a sample of work-based commuting trips.
There is no standard system for estimating area-wide pedestrian volumes in the United States. As a result, pedestrian volumes cannot be routinely used to guide transportation investments and monitoring measures performance. Vehicle volumes, by contrast, are measured systematically in each state and are reported to the Federal Highway Administration annually to be used in the allocation of federal funds.