Quantifying the impact of COVID-19 on non-motorized transportation: A Bayesian structural time series model
Y Zhang, JD Fricker - Transport policy, 2021 - Elsevier
Abstract The coronavirus disease (COVID-19) pandemic has resulted in widespread impacts
in the transportation sector due to containment measures. To better manage transportation …
in the transportation sector due to containment measures. To better manage transportation …
[HTML][HTML] Comparison of motor vehicle-involved e-scooter and bicycle crashes using standardized crash typology
Introduction: The market share of e-scooters in the United States has proliferated in cities: 86
million trips were made on shared e-scooters in 2019, a more than 100% increase …
million trips were made on shared e-scooters in 2019, a more than 100% increase …
The effect of weather on the use of North American bicycle facilities: A multi-city analysis using automatic counts
T Nosal, LF Miranda-Moreno - Transportation research part A: policy and …, 2014 - Elsevier
This study investigates the impact of weather on the use of urban bicycle facilities in
Montreal, Ottawa, Vancouver and Portland, as well as on the Green Route in Quebec. This …
Montreal, Ottawa, Vancouver and Portland, as well as on the Green Route in Quebec. This …
Monitoring and modeling of urban trail traffic: Validation of direct demand models in Minneapolis, Minnesota, and Columbus, Ohio
Transportation planners and engineers need estimates of nonmotorized traffic volumes and
analytical tools to plan and manage infrastructure for bicycling and walking. Direct demand …
analytical tools to plan and manage infrastructure for bicycling and walking. Direct demand …
Using weather forecasts to forecast whether bikes are used
J Wessel - Transportation research part A: policy and practice, 2020 - Elsevier
Although several papers have shown that bike ridership is affected by actual weather
conditions, this is the first study to comprehensively investigate the impact of forecasted …
conditions, this is the first study to comprehensively investigate the impact of forecasted …
Day-of-year scaling factors and design considerations for nonmotorized traffic monitoring programs
General procedures, including the estimation of annual average daily traffic (AADT) from
short-duration counts, have not been established for nonmotorized traffic monitoring …
short-duration counts, have not been established for nonmotorized traffic monitoring …
[HTML][HTML] Functional data analysis approach for mapping change in time series: A case study using bicycle ridership patterns
Monitoring change is an important aspect of understanding variations in spatial–temporal
processes. Recently,'big data'on mobility, which are detailed across space and time, have …
processes. Recently,'big data'on mobility, which are detailed across space and time, have …
Examining travel patterns and characteristics in a bikesharing network and implications for data-driven decision supports: Case study in the Washington DC area
Bikesharing has gradually become an adopted form of mobility in urban area recent years
as one sustainable transportation mode to bring us many social, environmental, economic …
as one sustainable transportation mode to bring us many social, environmental, economic …
Spatial models of active travel in small communities: Merging the goals of traffic monitoring and direct-demand modeling
A number of recent studies have made progress on specific components of monitoring and
modeling bicycle and pedestrian traffic. However, few efforts merge the goals of collecting …
modeling bicycle and pedestrian traffic. However, few efforts merge the goals of collecting …
Challenges and opportunities of emerging data sources to estimate network-wide bike counts
Emerging sources of mobile location data such as Strava and other phone-based apps may
provide useful information for assessing bicycle activity on each link of a network. Despite …
provide useful information for assessing bicycle activity on each link of a network. Despite …