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January 20, 2017
Abstract Submissions Invited for 10th National GIS in Transit Conference

Des Plaines, IL – The National Center for Transit Research, Urban and Regional Information Systems Association and the Transportation Research Board are jointly sponsoring the 10th National GIS in Transit Conference, September 6-8, 2017, in Washington, DC.

Martin Catala, Director of the Advanced Geo-Spatial & Informatics Lab at the Center for Urban Transportation Research, encourages transit and GIS professionals to share their research, projects and ideas with this informed audience. "The 10th Transit GIS Conference serves as a vital opportunity for transit agencies of all levels to learn fundamentals of GIS as well as discover cutting edge applications. Do not miss this unique conference that helps improve how transit agencies address challenges and devise solutions."

This conference attracts experts from across North America to discuss how GIS is being used every day to improve transit systems.  The conference will provide a breadth of GIS experiences to showcase how agencies of all sizes and budgets are managing GIS data and improving transit service, and ultimately customer service.  Those who should attend are transit planners, managers, researchers and GIS industry experts who are interested in sharing ways to use geographic and spatial analysis in transit planning, operations, and marketing to increase efficiency and effectiveness.

The conference program is developed from a peer review of abstract submissions, which are being accepted through February 15, 2017. Conference session topics may include, but are not limited to:

  • Asset Management
  • Service Planning
  • Transit Performance Measures
  • Real-time Analytics
  • Route Design
  • General Transit Feed Specification
  • Open Data
  • Transportation Spatial Database Design
  • Analysis of Fare Data
  • Marketing and Customer Service
  • Network Modeling
  • Data and Systems Management
  • Software Route & Trip Planning
  • Transit Map Making
  • Enterprise Data Models

Abstract submissions are being accepted until February 15, 2017. For an online abstract submission form and additional information, visit

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