Engineering Commons^™

Transit Demand Analysis And User Classification Using Automatic Fare Collection (Afc) Data, Alireza Khani

PSU Transportation Seminars

Development of origin-destination demand matrices is crucial for transit planning. The development process is facilitated by transit automated data, making it possible to mine boarding and alighting patterns on an individual basis. This research proposes a novel stochastic trip chaining method which uses Automatic Fare Collection (AFC) and General Transit Feed Specifications (GTFS) data to infer an origin-destination (O-D) matrix.

Advisory Bike Lanes In North America, Michael Williams

PSU Transportation Seminars

Despite being used successfully for decades in Europe, Advisory Bike Lanes are an emerging facility type in North America and can be an effective tool for communities wishing to provide bicycle lanes on streets that are otherwise too narrow to accommodate them. This talk will introduce the concept and operation of advisory bike lanes and look at some lessons learned from the early installations of this facility in the U.S. and Canada.

Measuring What We Value: Using Performance Measures To Achieve Goals, Chris Rall

PSU Transportation Seminars

Performance measures are commonly used in transportation planning, but how effectively are public agencies using them, and to what ends?

Metro, ODOT and many cities use performance measures to evaluate investment choices and monitor progress. Drawing from Transportation for America’s report Measuring What We Value, and some of the most cutting edge examples of performance-based planning around the nation, Chris' presentation will step back to consider what makes a performance-based planning approach effective at achieving an agency’s goals.