by Fehr & Peers | Apr 6, 2020 | Active Transportation, Climate Change, Communications & Engagement, Data Science, Emerging Technologies, Equity in Transportation, Freight, Land Use & Transportation, Transit Planning, Transportation Engineering, Transportation Forecasting & Operations
Like many others, we’re adapting our partnerships to continue meeting client needs and moving time-sensitive projects forward during this time of completely remote connection. Here’s one PM approach that was helpful before the shelter-in-place and continues to be effective.
by Fehr & Peers | Apr 6, 2020 | Active Transportation, Climate Change, Communications & Engagement, Data Science, Emerging Technologies, Equity in Transportation, Fehr & Peers News, Freight, Land Use & Transportation, Transit Planning, Transportation Engineering, Transportation Forecasting & Operations
We’re redirecting and accelerating our 2020 R&D program in response to the shifts due to the COVID-19 pandemic. We invite and request your input and collaboration to make the most of our investments over the next few months within 5 areas of research.
by Fehr & Peers | Mar 30, 2020 | Emerging Technologies, Land Use & Transportation
How, when, and under what circumstances will AVs be deployed? Learn about our R&D efforts to help clients begin to understand the possible effects on land use, in addition to how they may influence travel behavior.
by Fehr & Peers | Feb 20, 2020 | Climate Change, Land Use & Transportation
Considering evolving transportation metrics and expanding the range of solutions that can effectively reduce congestion, VMT, and emissions.
by Fehr & Peers | Sep 26, 2019 | Climate Change, Land Use & Transportation
Transportation analysis practice would benefit from new metrics measuring efficiency and space utilization. Learn about the travel efficiency metric proposed by Uber.
by Fehr & Peers | Sep 11, 2019 | Climate Change, Land Use & Transportation
Demand management includes a range of strategies from how roadways are operated to behavioral incentives that influence when and how much people travel by mode.