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ACRP Report 37A: Guidebook for Measuring Performance of Automated People Mover Systems at Airports (2012)
Airport Cooperative Research Program (ACRP)

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Transportation Research Board. "2.2.2.2 Defining and Measuring Service Availability for Complex Transportation Networks." ACRP Report 37A: Guidebook for Measuring Performance of Automated People Mover Systems at Airports. Washington, DC: The National Academies Press, 2012.

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Page
71
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Page
71
Front Matter (R1-R10)
Summary (1-3)
1.1 Research Approach (4-5)
2.3 How to Use This Guidebook (6-6)
2.4 Other ACRP Reports (7-7)
3.1.1 Legal Precedents (8-8)
3.1.2 O&M Contract Durations (9-9)
3.2 Procurement of O&M Services: Contractual Options (10-10)
3.2.3 Option 3: In-Sourcing O&M Services to Airport Staff (11-11)
3.3 Measurement of O&M Procurement Methodology Criteria (12-12)
3.3.1 Measurement Factor: Cost (13-13)
3.3.2 Measurement Factor: Risk (14-15)
3.3.3 Measurement Factor: Other (16-17)
3.3.4 Summary (18-18)
3.4 O&M Contract's Relationship to Performance Measurement (19-19)
4.1.1 Applied Methods (20-21)
4.1.2 Theoretical Methods (22-22)
4.2 Characteristics of Effective Performance Measurement Systems for APM Systems at Airports (23-23)
5.1.3 Routes Operated in Maximum Service (24-24)
5.2 Service Descriptive Characteristics (25-25)
5.2.4 Vehicles Available for Maximum Service (26-26)
5.3.1 Airport APM Performance Measure #1: Service Availability (Tier A Approach) (27-29)
5.3.2 Airport APM Performance Measure #1: Service Availability (Tier B Approach) (30-33)
5.3.3 Airport APM Performance Measure #1: Service Availability (Tier C Approach) (34-37)
5.3.4 Airport APM Performance Measure #2: Safety Incidents per 1,000 Vehicle Service Miles (38-39)
5.3.5 Airport APM Performance Measure #3: O&M Expense per Vehicle Service Mile (40-41)
5.3.6 Airport APM Performance Measure #4: Actual and Scheduled Capacity (Peak Versus All Other) (42-43)
5.3.7 Airport APM Performance Measure #5: Passenger Satisfaction (44-45)
5.3.8 Airport APM Performance Measure #6: Missed Stations per 1,000 Station Stops (46-47)
5.3.9 Airport APM Performance Measure #7: Unintended Stops per 1,000 Interstations (48-49)
6.1 Internal Measures for Assessing and Improving Performance of Airport APM Systems (50-50)
6.2 Measures for Planning and Designing Airport APM Systems (51-51)
7.2 Administrative and Funding Issues (52-52)
7.3 Airport Participation Issues (53-53)
7.4 Data Collection and Reporting Issues (54-54)
7.5 Conclusions (55-55)
Bibliography (56-56)
Acronyms and Abbreviations (57-57)
Exhibit A - Form A, Form B, and Passenger Satisfaction Survey (58-62)
Appendix A (63-65)
Section 1 - Preface (66-66)
2.1.1 Balanced Scoreboard (67-67)
2.2.1 Applied Methods (68-68)
2.2.1.2 Contract Service Dependability Method (69-69)
2.2.1.3 System Service Availability Method (70-70)
2.2.2.2 Defining and Measuring Service Availability for Complex Transportation Networks (71-71)
2.3.1 Historical Development (72-72)
2.3.2.2 Conferences on Transportation Performance Measures (73-73)
2.3.2.3 National Transit Database (74-74)
2.4 Airline Performance Measurement (75-75)
2.4.1 Government-Monitored Measures (76-76)
2.4.2 Airport Operator/Airline Measures (77-77)
2.5.1 FHWA Performance Measurement Program (78-79)
2.5.1.2 Buffer and Planning Time Indices (80-80)
2.5.2.3 Throughout (81-81)
2.6 Conclusion (82-83)
3.2 APMs (84-84)
3.4 Airlines (85-85)
3.5 Highways (86-86)
4.1.3 Select APM Systems for Site Visits (87-88)
4.2.2 Conduct Site Visits (89-89)
4.3.3 Step 3: Report to ACRP Panel on Participation Ratio (90-90)
4.3.10 Step 10: Transmit Thank-You Letters to Respondents (91-91)
5.1.2 Section 2: Performance Measures (92-92)
5.1.4 Section 4: Suggestions for Improving APM Performance Measures (93-93)
5.1.5 Section 5: System and Operating Characteristics (94-94)
5.2.2 System and Operating Characteristics (95-99)
5.2.4 Performance Measures (100-104)
5.2.6 Suggestions for Improving Airport APM Performance Measures (105-105)
Section 6 - Airport APM Survey (106-125)
Abbreviations used without definitions in TRB publications (126-126)

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71 for the time period the Operating System operates in failure different, the partial service credit incentive concept is very mode, the appropriate K factor shall be used. similar to the approach used for the Chicago O'Hare APM Fleet Availability discussed previously. One significant difference is that whereas the Chicago APM must deal with a specific approach For each time period and service mode of operation, Fleet Availability is measured as: due to its variable length trains, the CDG APM system does not (it has fixed-length trains). Both of these APM systems, Actual Car Hours Roissy Charles-de-Gaulle and Chicago O'Hare, are supplied A (f ) = Scheduled Car Hours by the same APM system manufacturer, Siemens, which may explain why the methods are similar, at least in the context of where each of the above terms has a precise technical definition partial service allowances. and is subject to recordation of actual conditions. Station Platform Door Availability 2.2.2 Theoretical Methods For each time period and service mode of operation, Station Platform Door Availability is measured as: The literature review and analysis have also revealed that APM performance measurement has been studied and reported Actual Platform Door Hours on theoretically. Three papers in particular have been presented A (s) = Scheduled Platform Door Hours in this area. where each of the above terms has a precise technical definition and is subject to recordation of actual conditions. 2.2.2.1Airport APM Performance Measurement: Network Configuration System Service Availability and Service Availability For each time period (I), System Service Availability is mea- sured as: The first paper, "Airport APM Performance Measurement: Network Configuration and Service Availability," was pre- A ( I ) = Am ( I ) × Af ( I ) × As ( I ) sented in 2007 at the 11th International ASCE APM Confer- ence in Vienna [2.2.5]. It was written by Wayne D. Cottrell, where Am(I), Af(I) and As(I) are measured as described above. Associate Professor at California State Polytechnic University, and Yuko J. Nakanishi, President of Nakanishi Research and Consulting, LLC. 2.2.1.4 Paris Airport Authority Method The paper examines service availability and reliability and The Paris Airport Authority (Aeroports de Paris) Method how they are affected by airport automated people mover is a variation on the System Dependability Method (ASCE) network configurations and other system parameters. The discussed previously. It was introduced by Aeroports de paper affirms the importance of availability and reliability Paris and ALONEX for Line 1 of the APM system at Roissy measurements in the APM industry that was discussed pre- Charles-de-Gaulle Airport [2.2.8]. Unlike the other methods, viously in Section 2.2.1: Applied Methods. it calculates contracted service availability on the basis of The paper suggests that detailed measures of headway service unavailability, and in so doing, eliminates from the regularity would be useful in an empirical study of AAPM calculation any need to consider grace periods or the down- reliability performance. Measures that are set forth include time exclusions common to the other methods. (The other headway adherence, service regularity, headway ratio, headway methods are similar in that they exclude the consideration regularity index, and headway deviation. of downtime caused by external sources, such as passenger- The ultimate conclusion is that network configuration affects induced delays, interruptions caused by intrusions of un the reliability and availability of airport APMs, albeit in a lim- authorized persons or objects, and other external sources ited way due to the limited variety of airport APM networks. beyond the control of the system or operating entity.) Other system parameters such as consist size and the number of Working from the perspective of service unavailability, the in-service trains also affect reliability and availability. goal of this method is to take into account the transporta- tion capacity of the system during periods of degraded mode 2.2.2.2Defining and Measuring Service operations. Providing the ability to earn this partial service Availability for Complex credit, and tying the contracted service availability to payment, Transportation Networks is an incentive to the operator to provide the best possible transportation capacity during failures. Although the path The second paper, "Defining and Measuring Service Avail- to calculating the contracted service availability number is ability for Complex Transportation Networks," was presented