In October 2019, the family of Intermx companies acquired Transport Foundry as part of an effort to form a group of small businesses working on data-oriented measurements of people and their movements. With this merger came meticulously crafted plans for a brilliant future, but like the rest of the world, we had to make a hard pivot in response to the global COVID-19 pandemic.
Read MoreWe are thrilled to announce our partnership with Intermx, a Data Enablement® company focused on democratizing access to population intelligence.
Read MoreTo help cities plan for roads, transit, buildings, sidewalks, and future technologies, transportation and urban planners try to understand the movements of people between households and businesses today and in future scenarios.
At Transport Foundry, we’re excited to launch CityCast, an everyday tool for data-driven planning.
Read MoreI am excited to welcome Troy Simpson to Transport Foundry! Troy will be based in Raleigh, NC, where he will help with transportation planning projects and CityCast.
Troy joins TF from University of North Carolina at Chapel Hill where he is finishing a degree in Geography. Troy is a fast learner and has an apt for transportation planning.
Read MoreWhen planners quantitatively prioritize transit investments, they can use either accessibility measures or ridership measures, or some combination of the two. Accessibility calculators count how easily people are able to reach opportunities (e.g. jobs) by transit, and ridership models attempt to forecast likely passengers. Historically, agencies have used both methods for different tasks, though recent criticism of ridership models coupled with the availability of new web-based accessibility calculators has made a comparison of each method important for planners to understand.
As part of Transportation Camp DC 2018, we challenged Conveyal to debate the strengths of accessibility calculators, and Anson Stewart came forward. I defended ridership models. During the debate, we showed off Conveyal's Analysis software as well as gave the first demonstration of CityCast, our web-based travel demand model that estimates ridership.
Read MoreEveryone who thinks about the future of transportation wants to know what will happen to our cities and our lives when autonomous vehicles arrive.
Read MoreWe're exploring how to model demand for autonomous vehicles (AV's) with a passive data model like
CityCast. We've structured our investigations following the thoughts of Lauren Isaac, who proposes that the positive or negative effects of AV's largely rest on whether AV's end up being privately owned or shared among several users. We covered the shared scenarios in our last post,
and we're now back as promised with private scenarios.
We've been doing some explorations at Transport Foundry over the last few months on how to model demand for autonomous vehicles (AV's) with a passive data model like CityCast. In this post we're going to look some scenarios where AV's are shared, where anyone can access the vehicles for a marginal fare.
Read MoreWe recently pushed an update of our [`censusr`](https://github.com/transportfoundry/censusr)
package to CRAN. `censusr` allows R users to download data from the US Census
Bureau's API directly to their workspaces, enabling scripting and powerful analyses. This new update uses the https protocol and includes new geotagging functions.
Given the long runways inherent to custom surveys, if the data needed to model autonomous vehicle (AV) behavior have not already been collected, then AV's will arrive before models designed to study their effects. In this study, we use demand from a passive data model coupled with the replanning algorithms in [MATSim](http://matsim.org/) to examine how transportation networks might be affected in the near term by autonomous vehicles.
Read MorePatent pending.
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