A spatial modeling approach to estimating bike share traffic volume from GPS data

MJ Brown, DM Scott, A Páez - Sustainable Cities and Society, 2022 - Elsevier
GPS-equipped bike-share fleets are a source of rich data that can be used to estimate
cycling volumes to assist infrastructure investment decisions aimed at increasing ridership …

A review of bike volume prediction studies

MM Miah, KK Hyun, SP Mattingly - Transportation Letters, 2024 - Taylor & Francis
No previous research provided a comprehensive review of the bicycle volume estimation
techniques assessing the current research gaps in data and modeling makes it challenging …

Minimizing annual average daily nonmotorized traffic estimation errors: How many counters are needed per factor group?

K Nordback, S Kothuri, D Johnstone… - Transportation …, 2019 - journals.sagepub.com
Accurate estimates of bicycle and pedestrian volume inform safety studies, trend monitoring,
and infrastructure improvements. The Federal Highway Administration's Traffic Monitoring …

Exploring Data Fusion Techniques to Estimate Network-Wide Bicycle Volumes

S Kothuri, J Broach, N McNeil, K Hyun, S Mattingly… - 2022 - pdxscholar.library.pdx.edu
This research developed a method for evaluating and integrating emerging sources (Strava,
StreetLight, and Bikeshare) of bicycle activity data with conventional demand data …

[PDF][PDF] Daily bicycle traffic volume estimation: Comparison of historical average and count models

M El Esawey - Journal of Urban Planning and Development, 2018 - researchgate.net
This research tackles the problem of missing cycling counts at permanent count stations that
experience frequent sensor malfunctions during the year. A simple approach that has been …

Analysis of factors influencing cycling count: A micro-level study using road segment count data in London

H Lv, H Li, NN Sze, Z Zhang, G Ren… - International journal of …, 2023 - Taylor & Francis
Cycling has gained increasing popularity worldwide as a healthy and sustainable mode of
travel. This study aims to investigate the factors affecting the cycle count at the road segment …

An integrated approach to monitoring and estimating COVID-19 risk exposure among leisure-time physical activity participants

IE Schneider, G Lindsey, M Petesch… - Journal of Transport & …, 2021 - Elsevier
Background Leisure time physical activity (LTPA) provides both health benefits and risks,
particularly during a pandemic. During the COVID-19 pandemic, significant increases in …

An examination of the Strava usage rate—a parameter to estimate average annual daily bicycle volumes on rural roadways

FJ Camacho-Torregrosa, D Llopis-Castelló… - Safety, 2021 - mdpi.com
In Spain, a new challenge is emerging due to the increase of many recreational bicyclists on
two-lane rural roads. These facilities have been mainly designed for motorized vehicles, so …

Automated validation and interpolation of long-duration bicycle counting data

D Beitel, S McNee, F McLaughlin… - Transportation …, 2018 - journals.sagepub.com
Bicycle flow data is crucial for transportation agencies to evaluate and improve cycling
infrastructure. Average annual daily bicyclists (AADB) is commonly used in research and …

Daily traffic count imputation for bicycle and pedestrian traffic: Comparing existing methods with machine learning approaches

J Roll - Transportation research record, 2021 - journals.sagepub.com
Monitoring nonmotorized traffic is becoming increasingly common practice at local and state
departments of transportation. These travel activity data are necessary to monitor the system …