Urges the Federal Railroad Administration to stop Class I freight railroads from using precision-scheduled railroading.
The resolution highlights a disconnect between the operational strategies of Class I freight railroads and the safety measures advocated by the FRA. While PSR aims to streamline operations, data suggests that its implementation has resulted in significant reductions in railroad staff, particularly in maintenance roles. This could lead to inadequate upkeep of essential railroad equipment, raising risks of accidents. The FRA has noted short-term increases in train accidents and incidents in areas where PSR is practiced, prompting further scrutiny of this operational approach.
Assembly Resolution No. 195, introduced in New Jersey, urges the Federal Railroad Administration (FRA) to cease the implementation of precision-scheduled railroading (PSR) by Class I freight railroads. PSR has been adopted by several major freight railroads as a method to enhance efficiency and reduce operational costs. However, the resolution raises alarms about potential safety implications associated with this practice, including staffing shortages, longer train lengths, and inadequate maintenance of equipment such as locomotives and railcars. Stakeholders, including unions and shippers, have expressed concerns that PSR may jeopardize railway safety and worker well-being.
The call to halt PSR usage underscores significant debate surrounding railroad operations management. Proponents of PSR argue it brings necessary modernization and efficiency to the freight industry, which is critical as it constitutes a large portion of the nation's cargo transport. Conversely, advocates for the resolution caution that the ongoing implementation of PSR could mirror past disasters, such as the recent environmental crisis in eastern Ohio, stemming from failures attributed to insufficient mechanical staff and safety oversight. This resolution serves as a plea for the FRA to reassess the implications of PSR before further entrenching this operational model.