Bicycle Count Data : What is it Good for? A Study of Bicycle Travel Activity In Central Lane Metropolitan Planning Organization
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2018-06-01
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By Roll, Josh
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NTL Classification:NTL-PEDESTRIAN AND BICYCLES-Bicycles
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Abstract:This report documents the use of bicycle traffic volume data for the purposes of travel monitoring, crash analysis, and health impact assessment in the Central Lane Metropolitan Planning Organization. The report showcase a new method for estimating annual traffic from short term counts using the Seasonal Adjustment Regression Method (SARM) and demonstrates low error provided enough data is available. A direct demand model is created and employed to estimate annual average daily bicycle traffic on each link within the network to show bicycle traffic patterns at the street and system level. These bicycle traffic estimates are used in crash analysis to highlight the injury-crash risk disparity between motorized and bicycle travel. The report demonstrates how safety performance functions can be developed for segments and intersections using these bicycle traffic estimates and then shows how these safety performance functions can be applied for project prioritization. Utilizing the bicycle traffic estimates, an analysis of the health benefits associated with the bicycle activity is conducted in order to highlight the positive health outcomes derived from the physical activity related to bicycling. The positive health outcomes are then quantified using a cost of illness methodology to reveal the health care cost savings associated with the estimated bicycle travel activity in the Central Lane MPO.
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