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.
Planners lack the tools to effectively measure where bicycle infrastructure improvements will yield the best outcomes. New research from Georgia Tech addresses this problem by developing two new modeling tools, BikewaySim and TransitSim, to assess how bicycle infrastructure can affect cycling and public transit access.
This is the dataset for project "Shifting Gears to Sustainability: A Deep-Dive into Solar-Powered Bike Pathways" (UCR-CT-FAST-086). This project explores the feasibility of integrating solar-powered infrastructure into bike pathways as a sustainable energy and transportation solution for California.
This is the data for the project "Advancing Active Transportation Project Evaluation". This data set contains organized data created based on data from the City of Santa Cruz, the City of Santa Barbara, and other public records.
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.
