This paper presents a methodology for assessing bicycle first-last mile trips from one area to many possible areas using three visualizations on accessibility, travel times, and transit mode(s) utilized.
This study explores factors contributing to the decrease in biking and walking in California over the period from 2012 to 2017, as observed in comparisons of the most recent California Household Travel Survey (CHTS) and the California add-on sample of the National Household Travel Survey (NHTS), respectively.
This paper compares factors impacting mode shares in 2012 and in 2017 to answer part of the question about why we see this decrease in the use of active modes over this period and what types of planning, programs, and policy actions may help to reverse this trend and get California back on track to increase walking, biking and the use of public transit.
Principal InvestigatorAlfredo Martinez-Morales, Ph.D.
University of California, Riverside
This research will involve studying global practices of solar bike pathway technology, which refers to the integration of solar energy technologies and systems embedded into bike paths to capture and convert solar energy into electrical power, providing both a functional pathway for cyclists and a source of renewable energy
This research project links Georgia Tech’s newest shortest path calculator, BikewaySim, with the finished shortest path calculator for public transportation, TransitSim.
Planners and engineers need to know how to assess the impacts of proposed cycling infrastructure projects to select those with the greatest potential impact on cycling safety. This research uses the BikewaySim cycling shortest path model and shows how it can be used to both examine the current cycling network and show changes in accessibility likely to result from new infrastructure.
