Guidebook on Pedestrian and Bicycle Volume Data Collection

Ryus, Paul; Ferguson, Erin; Laustsen, Kelly; Schneider, Robert J.; Proulx, Frank R.; Hull, Tony; Miranda-Moreno, Luis F.

doi:10.17226/22223

Cited by 63 publications

(77 citation statements)

References 18 publications

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“…Traditional data collection methods typically include manual counts of cyclists during peak commuting periods, which are adjusted to provide an estimate of overall ridership. While traditional counts provide an indication of overall volumes, they lack spatial detail and temporal coverage (Ryus et al, 2014). More recently cities are installing permanent count stations (Griffin et al, 2014), which provide excellent data on ridership through time but continue to lack spatial detail.…”

Section: Introductionmentioning

confidence: 99%

Mapping ridership using crowdsourced cycling data

Jestico

Nelson

Winters

2016

Journal of Transport Geography

142

104

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Cycling volumes are necessary to understand what influences ridership and are essential for safety studies. Traditional methods of data collection are expensive, time consuming, and lack spatial and temporal detail. New sources have emerged as a result of crowdsourced data from fitness apps, allowing cyclists to track routes using GPS enabled cell phones. Our goal is to determine if crowdsourced data from fitness apps data can be used to quantify and map the spatial and temporal variation of ridership. Using data provided by Strava.com, we quantify how well crowdsourced fitness app data represent ridership through comparison with manual cycling counts in Victoria, British Columbia. Comparisons are made for hourly, AM and PM peak, and peak period totals that are separated by season. Using Geographic Information Systems (GIS) and a Generalized Linear Model we modelled the relationships between crowdsourced data from Strava and manual counts and predicted categories of ridership into low, medium, and high for all roadways in Victoria. Our results indicate a linear association (r 2 0.40 to 0.58) between crowdsourced data volumes and manual counts, with one crowdsourced data cyclist representing 51 riders. Categorical cycling volumes were predicted and mapped using data on slope, traffic speeds, on street parking, time of year, and crowdsourced ridership with a predictive accuracy of 62%. Crowdsourced fitness data are a biased sample of ridership, however, in urban areas the high temporal and spatial resolution of data can predict categories of ridership and map spatial variation. Crowdsourced fitness apps offer a new source of data for transportation planning and can increase the spatial and temporal resolution of official count programs.

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Section: Introductionmentioning

confidence: 99%

Mapping ridership using crowdsourced cycling data

Jestico

Nelson

Winters

2016

Journal of Transport Geography

142

104

View full text Add to dashboard Cite

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“…Pedestrian activity studies should also note buffer zones between building edges and other people as well as road crossing widths and lengths (Abedi et al, 2015). National Cooperative Highway Research Program (NCHRP) Report 797 also notes pedestrians and cyclists tend to make shorter trips, which can be harder to detect (Ryus et al, 2014).…”

Section: Multimodal Considerationsmentioning

confidence: 99%

“…Before and after studies of signal timing changes gauges effectiveness and potential need for further improvement (Quayle & Koonce, 2010). Pedestrian and cyclist activities have provided better information for before and after studies on corridors, allowing for anticipated demand on comparable projects (Ryus et al, 2014).…”

Section: Intelligent Transportation Systems Evaluationsmentioning

confidence: 99%

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Exploring Travel Time Reliability Using Bluetooth Data Collection: A Case Study in San Luis Obispo, California

Purser¹

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Bluetooth technology applications have improved travel time data collection efforts and allowed for collection of large data sets at a low cost per data unit. Mean travel times between pairs of points are available, but the primary value of this technique is the availability of the entire distribution of travel times throughout multiple days and time periods, allowing for a greater understanding of travel time variations and reliability. The use of these data for transportation planning, engineering and operations continues to expand. Previous applications of similar data sources have included travel demand and simulation model validation, work zone traffic patterns, transit ridership and reliability, pedestrian movement patterns, and before-after studies of transportation improvements. This thesis investigates the collection and analysis of Bluetooth-enabled travel time data along a multimodal arterial corridor in San Luis Obispo, California. Five BlueMAC devices collected multimodal travel time data in January and February 2016 along Los Osos Valley Road. These datasets were used to identify and process known sources of error such as occasions where vehicles using the roadway turn off and make an intermediate stop and multiple reads from the same vehicle; quantify travel time performance and reliability along arterial streets; and compare transit, bicycle, and pedestrian facility performance. Additionally, a travel time model was estimated based on segment characteristics and Bluetooth data to estimate average speeds and travel time distributions.

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“…More recently, the pursue to increase pedestrianism has been driven by significant public health concerns due to soaring levels of inactivity across the globe [6] [7]. In response to global goals to reduce inactivity [8], urban planning policies have focused on increasing walking for transportation [9][10] [11] [12], which is leading to a reinvigorated pursue of a connected and attractive network of public space.…”

Section: Introductionmentioning

confidence: 99%

Solar radiation and street temperature as function of street orientation. An analysis of the status quo and simulation of future scenarios towards sustainability in Bahrain

Silva

2017

E3S Web Conf.

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This paper discusses the contribution of street orientation towards the development of a comfortable microclimate for pedestrians in Bahrain. Increasing walkability is a global agenda to address issues such as a) transportation, b) energy consumption, c) health, and d) air pollution, all of which are topics of the sustainability agenda. Thermal comfort is one of the pre-requisites for walkability. In warm climates, this is a challenging goal.Street design is paramount for pedestrian comfort in warm climates. The roles of street orientation and aspect ratio are of particular importance as they determine the intake of solar radiation into the urban canyon. We investigate the state of affairs in Bahrain, by measuring the frequency with which the street orientations E-W, N-S, NE-SW, and NW-SE, currently occur. Research suggests that the street orientation E-W presents the lesser performance for mitigating the effects of heat gain. The ideal grid orientation would, therefore, be N-S, and NE-SW -NW-SE, avoiding street segments with E-W orientation.A countrywide analysis shows that E-W orientation accounts for the highest overall street length with 37%. The second most frequent orientation is N-S (29%), the best performer. NW-SE and NE-SW both have frequencies of only 17%. Preference for a street grid with N-S, NW-SE, and NE-SW orientation would improve the thermal performance of streets and provide a continuous network of a comfortable pedestrian environment. We simulate two future scenarios based on avoiding new E-W streets, or not. We measure their potential reduction in thermal gain and conclude that a simple policy could reduce solar exposition in 40%.

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Guidebook on Pedestrian and Bicycle Volume Data Collection

Cited by 63 publications

References 18 publications

Mapping ridership using crowdsourced cycling data

Mapping ridership using crowdsourced cycling data

Exploring Travel Time Reliability Using Bluetooth Data Collection: A Case Study in San Luis Obispo, California

Solar radiation and street temperature as function of street orientation. An analysis of the status quo and simulation of future scenarios towards sustainability in Bahrain

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