News and Events

06.04.2013

June 2013 RSG’s Burlington Office Continues Growth with Addition of Senior Transportation Planner

Shadde Rosenblum, AICP, an expert in transportation planning, has joined RSG as a Senior Consultant.

05.23.2013

ITE Northeastern District Annual Meeting

RSG's Stephen Gayle will be presenting “Complete Streets Implementation” which will share a Complete Streets Fact Sheet which RSG prepared in response to New York State's Complete Streets law that has been in effect for more than a year. The Fact Sheet was developed for the NYS Association of Metropolitan Planning Organizations in 2012, under our Staff Services contract. The purpose of the Fact Sheet is to provide the MPOs a tool to use in explaining to their local government members and potentially the public the concept of Complete Streets and the implementation requirements under the law. This presentation will review the specifics of the New York law, and evidence of complete streets implementation a year after it has been in effect.

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05.10.2013

RSG’s Tom Adler to Speak at MIT’s Distinguished Speaker Series

RSG President and co-founder, Thomas Adler will be presenting “Transportation Research in the Green Mountain State: A Sampler” today as part of the MIT Center for Transportation & Logistics Distinguished Speaker Series. Tom’s presentation will touch upon quantifying forecast risks from complex travel demand models and an intercity bus/rail trip planner.

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RSG’s Tom Adler to Speak at MIT’s Distinguished Speaker Series

RSG President and co-founder, Thomas Adler will be presenting “Transportation Research in the Green Mountain State: A Sampler” today as part of the MIT Center for Transportation & Logistics Distinguished Speaker Series. Tom’s presentation will touch upon quantifying forecast risks from complex travel demand models and an intercity bus/rail trip planner.

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RSG’s Tom Adler to Speak at MIT’s Distinguished Speaker Series

RSG President and co-founder, Thomas Adler will be presenting “Transportation Research in the Green Mountain State: A Sampler” today as part of the MIT Center for Transportation & Logistics Distinguished Speaker Series. Tom’s presentation will touch upon quantifying forecast risks from complex travel demand models and an intercity bus/rail trip planner.

05.05.2013

TRB National Transportation Planning Applications Conference

RSG consultants are slated to present 26 sessions over the five-day TRB conference kicking off on May 5th in Columbus, OH. Presenters are excited to share current RSG work and learn from others to advance transportation planning techniques and methods.

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05.03.2013

RSG to Present 26 Sessions at the TRB National Transportation Planning Applications Conference

RSG consultants are slated to present 26 sessions over the five-day TRB conference kicking off on May 5th in Columbus, OH. Presenters are excited to share current RSG work and learn from others to advance transportation planning techniques and methods.

04.25.2013

RSG Senior Engineer to participate in Plan New Hampshire Complete Streets Forum

RSG's Senior Engineer, Dirk Grotenhuis, will be attending Plan New Hampshire's forum and workshop focused on Complete Streets.

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04.24.2013

RSG’s Survey Work Recognized by NADO

A project on which RSG worked with the Chittenden County Regional Planning Commission (CCRPC) was recognized with an Excellence in Regional Transportation Award by the National Association of Development Organizations (NADO). The award and project will be featured today at NADO’s 2013 National Rural Transportation Conference in Greenville, SC. RSG’s contributions included designing, developing, and conducting a survey of residents within Chittenden County. The analysis focused on identifying changes and trends in attitudes toward transportation-related issues between 2000 and 2012.

04.18.2013

RSG Releases Open-Source Model Estimation Package

RSG recently released an open-source software package, on The Comprehensive R Archive Network (CRAN). The package named “RSGHB” is designed to estimate Hierarchical Bayesian (HB) models from choice-based conjoint data, allowing users to estimate sophisticated models which until now required significant custom programming.