Guidebook on Pedestrian and Bicycle Volume Data Collection (2014) / Chapter Skim
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10 C H A P T E R 2 This chapter describes potential uses of pedestrian and bicycle data, using actual projects as examples of how the data can be applied. The practitioner survey conducted as part of the research leading to this guidebook found that the most common applications of non-motorized count data in the United States and Canada were (in decreasing order of usage)
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Non-Motorized Count Data Applications 11 whole. The FHWA released a policy statement in 2010 that included the following recommended action: "Collecting data on walking and biking trips: The best way to improve transportation networks for any mode is to collect and analyze trip data to optimize investments.
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12 Guidebook on Pedestrian and Bicycle Volume Data Collection have been identified through the NBPD method as typical characteristics that provide valuable data) : • Historical count location • Bicycle facility • High collision area • Smart growth area • Transit corridor • Planned project • Mixed land use • Stakeholder recommendations Thirty-eight cities participated in the 2012 counts.
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Non-Motorized Count Data Applications 13 Counts are generally conducted as part of before-and-after studies of new infrastructure. All of the DVRPC data are accessible to the public on line, using a map-based application (Figure 2-2)
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14 Guidebook on Pedestrian and Bicycle Volume Data Collection This information could be used to (1) demonstrate project success, (2)
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Non-Motorized Count Data Applications 15 Source: Jones et al.
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16 Guidebook on Pedestrian and Bicycle Volume Data Collection Quantifying Exposure Exposure relates to the frequency of a bicyclist or pedestrian being present in a conflict zone with the potential to be involved in a crash and is used in assessing risk. One of the biggest challenges in pedestrian and bicycle crash data evaluation is evaluating the number of crashes at a location without knowing the volume of pedestrians or bicycles at those locations.
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Non-Motorized Count Data Applications 17 bicycles, and accidents involving only a bicycle. Although these types of crashes are typically not fatal, they can still cause injury and damage.
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18 Guidebook on Pedestrian and Bicycle Volume Data Collection counts in 2011 in order to improve accuracy and create a comparable data set. In addition, SFMTA is installing permanent automated bicycle counters at key locations in the bicycle network.
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Non-Motorized Count Data Applications 19 2.6 Multimodal Model Development 2.6.1 Potential Applications Although many jurisdictions have developed vehicle travel demand models to forecast future motorized vehicle volumes, relatively few areas have undertaken comparable efforts to assess pedestrian and bicycle demand. Multimodal travel demand modeling is an emerging field which has the potential to estimate pedestrian and bicycle demand over a large transportation network.
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20 Guidebook on Pedestrian and Bicycle Volume Data Collection 2.6.2 Example Application City of Berkeley, California The City of Berkeley maintains a pedestrian demand model. The model was developed based on an assessment of "spatial accessibility," urban form, land use, and pedestrian observations.
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