Orange County Grand Jury
• 2006-2007
• Agency Response
City of Orange Office of Mayor*
⚠️ Translation Notice: This content has been automatically translated. The original English text is the official version. Translation may contain errors.
⚠️ Este contenido ha sido traducido automáticamente. El texto original en inglés es la versión oficial. La traducción puede contener errores.
Findings and Recommendations 2 findings
F2
Impacted cities are strongly concerned about noise from OCTA/Metrolink train horns at railroad crossings. The cost of totally eliminating train horns countywide through quiet zone corridor treatments could be in the range of $50-$60 million. Response. The City of Orange agrees with this finding.
No recommendations for this finding
F3
It is unclear how the burden of cost for upgraded crossings will be shared by the OCTA and impacted cities. The City of Orange disagrees partially with this finding. At the time the Grand Jury Response. performed the investigatory work for the report, this finding was correct. However since that time there has been further development of the program by OCTA and preliminary cost sharing proportions have been released. Although not yet approved by the Board of Directors of OCTA, the program is moving forward with staff-recommended funding splits of 88% OCTA and 12% local agency. It is likely this will be the final cost sharing. The burden of construction and inspection costs for these grade crossing treatments needs to be
Related Recommendations (1)
R3
shared by the OCTA and impacted cities according to an agreed formula. The recommendation has not yet been implemented, but is expected to be implemented Response. in the future, with a timeframe for implementation. See response to F-3 above. Thank you for the opportunity to respond to the Grand Jury's Report on behalf of the City of Orange. Sincerely caro Cayécche Max∕o City/of range 300 E, CHAPMAN AVE. • ORANGE, CA 92866-1591 ORANGE CIVIC CENTER P.O. BOX 449 PRINTED ON RECYCLED PAPER
* This report's PDF did not contain easily extractable text and required Optical Character Recognition (OCR) for analysis. There may be minor errors in the extracted findings and recommendations due to OCR limitations with scanned documents.