Skip to main content

Currently Skimming:


Pages 45-59

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 45...
... Multimodal Level of Service for Urban Streets Page 40 VI. EXAMPLE PROBLEMS This section provides example problems illustrating the application of the above described methodologies for estimating the performance and level of service for urban streets.
From page 46...
... Multimodal Level of Service for Urban Streets Page 41 downstream of the beginning traffic signal and to end immediately downstream of the ending traffic signal. Thus, each analysis segment consists of a segment and a traffic signal.
From page 47...
... Multimodal Level of Service for Urban Streets Page 42 6. Compute Pedestrian LOS – The pedestrian LOS is computed next because it is a required input for the transit LOS.
From page 48...
... Multimodal Level of Service for Urban Streets Page 43 7. Compute Transit LOS – The data and computation steps are shown in Exhibit 21: Example 1 - Computation of Transit LOS.
From page 49...
... Multimodal Level of Service for Urban Streets Page 44 Exhibit 19: Example 1 - Computation of Auto LOS 1. Compute Eastbound Hourly Demand (v)
From page 50...
... Multimodal Level of Service for Urban Streets Page 45 Exhibit 20: Example 1 - Computation of Pedestrian LOS 1. Compute Pedestrian Density LOS Sidewalk Ped Ped.
From page 51...
... Multimodal Level of Service for Urban Streets Page 46 Exhibit 21: Example 1 - Computation of Transit LOS 1. Input Data Transit On-Time Stops with Stops with Load Central Busi.
From page 52...
... Multimodal Level of Service for Urban Streets Page 47 Exhibit 22: Example 1 - Computation of Bicycle LOS 1. Geometric Input Data Outside Bike/Shldr Through Divided/ Sig.
From page 53...
... Multimodal Level of Service for Urban Streets Page 48 EXAMPLE PROBLEM 2 – DETERMINE LOS IMPACTS OF CONVERTING FROM 4-LANE TO 3-LANE CROSS-SECTION Objective: For a given set of modal demands, determine the impacts of converting a street from 4 auto lanes to 2 lanes plus two-way-left-turn-lane. Exhibit 24: Example Problem 3 Plan and Cross-Section Views 10’ 12’5’ 5’8’5’ 5’8’ 70 ft ROW 12’ Bus Stop varies Key Issues: The key issue in this example is the tradeoff between the benefits to the bicycles of providing the bicycle lane and the reduction of through lanes for autos and buses from 4 lanes to 2 lanes plus a two-way left turn lane.
From page 54...
... Multimodal Level of Service for Urban Streets Page 49 a. Compute Demand – Same as Problem 1.
From page 55...
... Multimodal Level of Service for Urban Streets Page 50 10. The above analysis is then repeated for the reverse direction of travel on the street.
From page 56...
... Multimodal Level of Service for Urban Streets Page 51 Exhibit 26: Example 2 - Computation of Auto LOS 1. Compute Eastbound Hourly Demand (v)
From page 57...
... Multimodal Level of Service for Urban Streets Page 52 Exhibit 27: Example 2 - Computation of Pedestrian LOS 1. Compute Pedestrian Density LOS Sidewalk Ped.
From page 58...
... Multimodal Level of Service for Urban Streets Page 53 Exhibit 28: Example 2 - Computation of Transit LOS 1. Input Data Transit On-Time Stops with Stops with Load .
From page 59...
... Multimodal Level of Service for Urban Streets Page 54 Exhibit 29: Example 2 - Computation of Bicycle LOS 1. Geometric Input Data Outside Bike/Shldr Through Divided/ Sig.

Key Terms



This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More information on Chapter Skim is available.