A systematic scoping review of methods for estimating link-level bicycling volumes
Estimation of bicycling volumes is essential for the strategic implementation of infrastructure
and related transport elements and policies. Link-level volume estimation models (models …
and related transport elements and policies. Link-level volume estimation models (models …
Exploring the Shared Use Pathway: A Review of the Design and Demand Estimation Approaches
Shared-use paths (SUPs) are rapidly growing in popularity worldwide as dedicated off-street
paths that are shared by non-motorists. SUPS are becoming popular for pedestrians, inline …
paths that are shared by non-motorists. SUPS are becoming popular for pedestrians, inline …
Real-time prediction of public bike sharing system demand using generalized extreme value count model
Abstract Public Bike Sharing Systems (BSSs) are becoming increasingly popular in recent
times. Both the BSS operators and the customers can benefit from the large digital data …
times. Both the BSS operators and the customers can benefit from the large digital data …
Dynamic bike sharing traffic prediction using spatiotemporal pattern detection
This study proposes a two-step pattern detection methodology for dynamic bike share
station traffic prediction using historic traffic and spatiotemporal characteristics. The model is …
station traffic prediction using historic traffic and spatiotemporal characteristics. The model is …
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 …
Random parameter models for estimating statewide daily bicycle counts using crowdsourced data
B Dadashova, GP Griffin - Transportation research part D: transport and …, 2020 - Elsevier
Persistent lack of non-motorized traffic counts can affect the evidence-based decisions of
transportation planning and safety-concerned agencies in making reliable investments in …
transportation planning and safety-concerned agencies in making reliable investments in …
Adding temporal information to direct-demand models: Hourly estimation of bicycle and pedestrian traffic in Blacksburg, VA
Cycling and walking are environmentally-friendly transport modes, providing alternatives to
automobility. However, exposure to hazards (eg, crashes) may influence the choice to walk …
automobility. However, exposure to hazards (eg, crashes) may influence the choice to walk …
Estimation of daily bicycle traffic using machine and deep learning techniques
Abstract Machine learning (ML) architecture has successfully characterized complex
motorized volumes and travel patterns; however, non-motorized traffic has given less …
motorized volumes and travel patterns; however, non-motorized traffic has given less …
Enhancing non-motorist safety by simulating trip exposure using a transportation planning approach
Traditionally, in developing non-motorized crash prediction models, safety researchers have
employed land use and urban form variables as surrogate for exposure information (such as …
employed land use and urban form variables as surrogate for exposure information (such as …
Bicycle, pedestrian, and mixed-mode trail traffic: A performance assessment of demand models
This study presents new trail demand models based on data collected between January 1,
2014 and February 16, 2016 at 32 locations in the seven major climatic regions in the …
2014 and February 16, 2016 at 32 locations in the seven major climatic regions in the …