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NCHRP Report 616: Multimodal Level of Service Analysis for Urban Streets (2008)
National Cooperative Highway Research Program (NCHRP)

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Flannery, Aimee, Dowling, Richard G, Rouphail, Nagui M, Petritsch, Theodore Anton, Landis, Bruce W, Bonneson, James A, Ryus, Paul, Reinke, David B, Vandehey, Mark, Transportation Research Board. "Implications for Research Project." NCHRP Report 616: Multimodal Level of Service Analysis for Urban Streets. Washington, DC: The National Academies Press, 2008.

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Page
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Front Matter (R1-R11)
Summary (1-2)
1.2 The Research Plan (3-3)
1.3 This Report (4-4)
Highway Capacity Manual (5-5)
Transit Capacity and Quality of Service Manual (6-8)
Florida Quality/Level of Service Handbook (9-10)
Highway Capacity Manual (11-12)
Transit TCQSM Critique (13-13)
Florida DOT Q/LOS Handbook (14-14)
The Major Level of Service Manuals (15-15)
Implications for Research Project (16-16)
Urban Street LOS (17-17)
Intersection LOS Research (18-20)
Rural Road Research (21-21)
A Handbook for Measuring Customer Satisfaction (22-22)
3.3 Bicyclist Perceptions of LOS (23-23)
Segment LOS Models Based on Field Surveys or Video Lab (24-25)
Models of Rural Road Bicycle LOS (26-26)
Intersection Crossing LOS Studies (27-27)
Sidewalk and Path LOS Studies (28-28)
Midblock Crossing LOS Studies (29-29)
3.5 Multimodal LOS Research (30-31)
4.1 Selection of QOS Survey Method (32-34)
Auto Video Clips (35-35)
Bicycle Video Clips (36-37)
Pedestrian Video Clips (38-41)
Development of Master DVDs (42-45)
Selection of Video Lab Cities (46-46)
Recruitment (47-49)
Video Lab Sessions (50-50)
4.5 Effects of Demographics on LOS (51-51)
Effects of Demographics on Auto LOS Ratings (52-52)
Effects of Demographics on Pedestrian LOS Ratings (53-53)
Field Data Collection (54-54)
Survey Form Development (55-56)
Survey Distribution (57-57)
Route Characteristics (58-59)
4.7 Representation of Survey Results By A Single LOS Grade (60-61)
Linear Regression Tests (62-63)
Limitations of Linear Regression Modeling (64-64)
Performance of Candidates (65-68)
5.2 Recommended Auto LOS Model (69-70)
5.3 Performance of Auto LOS Models (71-71)
Selection of Explanatory Variables for LOS (72-73)
Elasticity Concept (74-76)
Reliability (77-77)
6.2 Recommended Transit LOS Model (78-78)
Estimation of the Transit Wait Ride Score (79-80)
6.3 Performance of Transit LOS Model (81-81)
7.2 Recommended Bicycle LOS Model (82-82)
Bicycle Intersection LOS (83-83)
7.3 Performance of Bicycle LOS Model on Video Clips (84-85)
8.1 Model Development (86-86)
Pedestrian Other LOS Model (87-87)
Pedestrian Midblock Crossing Factor (88-90)
8.3 Performance Evaluation of Pedestrian LOS Model (91-91)
Input Variable Interactions Among Modes (92-94)
Interactions Among Modal LOS Results (95-95)
Chapter 10 - Accomplishment of Research Objectives (96-97)
References (98-101)
Appendix A - Subject Data Collection Forms (102-104)
Appendix B - Study Protocol (105-109)
Appendix C - Example Recruitment Flyer/Poster (110-110)
Abbreviations used without definitions in TRB publications (111-111)

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16 The Florida bicycle and pedestrian level of service models Implications for Research Project have a strong scientific basis, but their incorporation in the national manuals has been hindered by the perception (valid The major issues for establishing a multimodal level of or not) that they are based strictly on data from a single city service framework are as follows: in a single state, even though they have been applied in many jurisdictions around the United States. There are also con- 1. Establishing comparability of meanings for LOS grades cerns at the national level (valid or not) that the level of serv- across modes, ice measured in Florida for bicycles and pedestrians is a 2. Establishing models for predicting LOS that reflect the in- different dimension of traveler satisfaction not related to teractions among modes in an urban street setting, and traditional traffic operations analysis and, therefore, incom- 3. Establishing a credible national basis for the multimodal patible with the national manuals. LOS framework and models.