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06/21/2022
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06/21/2022
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7/25/2022 10:31:20 AM
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Meetings
Meeting Type
BCC Regular Meeting
Document Type
Agenda Packet
Meeting Date
06/21/2022
Meeting Body
Board of County Commissioners
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Task 4C — Develop Trend & Peer Group Analysis <br />CUTR will summarize historical trends for key performance, effectiveness and efficiency <br />indicators drawn from the above measures. The period of analysis will be five years (or another <br />similar period determined jointly by CUTR and Indian River). In addition, in consultation with <br />the Indian River staff, CUTR will identify up to ten (10) peer systems based on comparable <br />service area populations, fleet size, socio-economic, land -use and institutional characteristics <br />(e.g., purchased service). A mix of Florida and out-of-state peer systems will be identified. The <br />selection of peer agencies will be guided by ICRP Report 141, A Methodology for Performance <br />Measurement and Peer Comparison in the Public Transportation Industry and augmented by <br />CUTR and Indian River staff's knowledge and judgment. Data will be drawn from the National <br />Transit Database (NTD) or other sources and summarized by CUTR. <br />In addition to the performance indicators listed in the above table, this analysis will benefit <br />from seeing how a set of peer agencies perform across a number of additional measures <br />relating to operations, finance, and organizational structure. Data to be used in this analysis will <br />include, but not be limited to, the following areas: <br />• Organizational structure <br />• Employees by type <br />• Operating expenses by category <br />• Maintenance expenses by category <br />www.cutr.usf.edu 39 <br />General Performance <br />Indicators <br />Effectiveness Measures <br />Efficiency Measures <br />• <br />Passenger trips <br />• <br />Vehicle miles per capita <br />• <br />Operating expenses per <br />• <br />Revenue miles <br />• <br />Passenger trips per capita <br />capita <br />• <br />Revenue hours <br />• <br />Passenger trips per <br />• <br />Operating expenses per <br />• <br />Route miles <br />revenue mile <br />passenger trip <br />• <br />Operating expenses <br />• <br />Passenger trips per <br />• <br />Operating expenses per <br />• <br />Capital expenses <br />revenue hour <br />revenue mile <br />• <br />Operating revenues <br />• <br />Average age of fleet <br />• <br />Operating expenses per <br />• <br />Total employees <br />• <br />Revenue hours per <br />revenue hour <br />• <br />Vehicles available for <br />employee <br />• <br />Farebox recovery ratio <br />maximum service <br />• <br />Passenger trips per <br />• <br />Revenue miles per vehicle <br />employee <br />• <br />Revenue hours per <br />• <br />Quality of Service (revenue <br />employee <br />miles between vehicle <br />• <br />Passenger trips per <br />failures) <br />employee <br />• <br />Average fare <br />Task 4C — Develop Trend & Peer Group Analysis <br />CUTR will summarize historical trends for key performance, effectiveness and efficiency <br />indicators drawn from the above measures. The period of analysis will be five years (or another <br />similar period determined jointly by CUTR and Indian River). In addition, in consultation with <br />the Indian River staff, CUTR will identify up to ten (10) peer systems based on comparable <br />service area populations, fleet size, socio-economic, land -use and institutional characteristics <br />(e.g., purchased service). A mix of Florida and out-of-state peer systems will be identified. The <br />selection of peer agencies will be guided by ICRP Report 141, A Methodology for Performance <br />Measurement and Peer Comparison in the Public Transportation Industry and augmented by <br />CUTR and Indian River staff's knowledge and judgment. Data will be drawn from the National <br />Transit Database (NTD) or other sources and summarized by CUTR. <br />In addition to the performance indicators listed in the above table, this analysis will benefit <br />from seeing how a set of peer agencies perform across a number of additional measures <br />relating to operations, finance, and organizational structure. Data to be used in this analysis will <br />include, but not be limited to, the following areas: <br />• Organizational structure <br />• Employees by type <br />• Operating expenses by category <br />• Maintenance expenses by category <br />www.cutr.usf.edu 39 <br />
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