Transferability and robustness of real-time freeway crash risk assessment.

Introduction: This study examines the data from single loop detectors on northbound (NB) US-101 in San Jose, California to estimate real-time crash risk assessment models.

Method: The classification tree and neural network based crash risk assessment models developed with data from NB US-101 are applied to data from the same freeway, as well as to the data from nearby segments of the SB US-101, NB I-880, and SB I-880 corridors. The performance of crash risk assessment models on these nearby segments is the focus of this research.

Analyzing equity impacts of transit fare changes: Case study of Alameda-Contra Costa Transit, California.

Many public transit agencies consider increasing fares when faced with budget shortfalls. This paper analyzes the Alameda-Contra Costa (AC) Transit District's five alternative fare proposals introduced for public discussion in March 2005. The proposals combined fare hikes, base fare reductions, eliminations of free transfers, and discontinuation of periodic passes.