Regression models are commonly applied in the analysis of transportation data. This
research aims at broadening the range of methods used for this task by modeling the spatial …

Information on individual hazard perception while cycling and the associated feeling of
safety are key aspects to foster sustainable urban cycling mobility. Although cyclist's …

Researchers and planners require ridership data to study factors that influence people's
choice to use transit. However, the data can be challenging to obtain directly from transit …

Cycling's integration into the intricate facets of urban design, together with walking and
public transportation, offers an effective solution to the mobility issues plaguing urban …

Background Cities globally have started to make substantial investment in more sustainable
forms of transportation. We aimed to evaluate whether the construction of new cycling …

To address the need for better non-motorized traffic data, policymakers and researchers are
collaborating to develop new approaches and methods for estimating pedestrian and …

BACKGROUND Millions of people cross the international border between the United States
and Mexico, making it one of the busiest crossings in the world. Approximately $1.5 billion in …

Cycling is a key ingredient for a sustainability shift of Denmark's transportation system. To
increase cycling rates, a better nationwide network of bicycle infrastructure is required …

Researchers and practitioners commonly use a Direct Demand Model (DDM), which uses
link, distance, and buffered variables (eg, land use) to predict Annual Average Daily Bicycle …

Existing walking/biking data are often insufficient to support active transportation planning
activities. This study used an emerging large-scale human mobility dataset to identify places …