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Evaluation of Methodologies for Visual Impact Assessments

TRB’s National Cooperative Highway Research Program (NCHRP) Report 741: Evaluation of Methodologies for Visual Impact Assessments evaluates visual impact assessment (VIA) procedures, methods, and practices that satisfy or exceed National Environmental Policy Act (NEPA) and other requirements. 

The report documents VIA methodologies and approaches used in the United States and other countries, describes the decision making framework used to select specific VIA techniques for a given project, includes VIA best practice case studies from state departments of transportation, and highlights promising new developments in the field.
Project: Project Information
Project Number: 25-33

E-Newsletter Type: Recently Released TRB Publications    

TRB Publication Type: NCHRP Report




2013 Symposium Call for Papers

The 2013 7th International Visualization in Transportation Symposium is encouraging interested individuals to submit session topics, presentation ideas, and paper abstracts to be considered for presentation at the 2013 symposium in the Beckman Center, Irvine, California on October 23-25, 2013.

Click here for the Call for Presentations flier. 

The conference will be a forum for exchange and dissemination of information related to all applications and modes of visualization in the transportation industry. Submit your abstract online through the conference submission website no later than March 15, 2013.

The goal of the 2013 Symposium is to advance innovation in visualization for transportation applications through the exchange of information, to create a collaborative environment that promotes ideas for action that evolves our ability to address those needs, and to foster the integration of visualization into mainstream practice.

A wide variety of sessions and speakers will be pursued including moderated sessions, panel discussions, interactive poster sessions, and application/technology demonstrations. For more information see

Evaluation Criteria

The following criteria will be used to evaluate topics and abstracts: 1) originality of work; 2) relevance or interest to Symposium Attendees; 3) timeliness; and 4) quality, clarity and completeness of the submission. Successful topics will engage public, private, and university partners from a wide range of modes and disciplines. Abstracts focusing on research findings will be evaluated on their potential significance to the discipline, soundness of the methodology, any empirical, data-based results and rigor. Abstracts covering research on current policy issues will be evaluated according to the soundness of the research method and the potential contribution to policy discussion. Evaluation of education, training, and practice programs will be judged according to the assessment tools used and the originality and potential impact of the educational innovation.

Submittal Process

Abstracts should be submitted through the conference submission website, no later than March 15, 2013. Abstracts should not be more than 600 words in length and should clearly convey the material that will be presented and relevance to the Symposium.

[Updated on February 19, 2013]


SFMTA Hackathon Produces Data Visualizations

This past fall, the San Francisco Municipal Transportation Agency and the Mayor's Office partnered with Hattery to sponsor a transit data and Google Maps hackathon. Out of the event came some stunning new data visualizations and transportation tools.  See what happens when government and innovators get together here.


Visualization Challenge "Hubway"

Challenge Alert!  Can you make an informative yet beautiful data visualization piece of Boston's "Hubway" bike sharing data?  Details here:  Due October 31.


2011 | Show Me the Money

David Steier, Deloitte Analytics Institute

Ideas from visualization in business may provide lessons learned for transportation issues.

Keywords (Tags): Data, analystics, impacts, overview, business, lessons learned

Slide 15: Finding Patterns in Patient Drug Prescriptions shows an excellent example of data visualization providing information that would not likely have been seen. It involved both patients and doctors.