Recent Decline in Public Transportation Ridership: Analysis, Causes, and Responses (2022) / Chapter Skim
Currently Skimming:
Pages 85-99
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 85... ...
85 C H A P T E R 1 0 Previous sections of this report presented analyses about the possible factors impacting transit ridership trends. While it is important to use data to understand how these factors contribute toward transit ridership declines, explaining the complex travel behavior choices an individual makes as well as capturing the inherent dynamism of the transport system is a more complicated process.
|
From page 86... ...
86 Recent Decline in Public Transportation Ridership: Analysis, Causes, and Responses Figure 10-1. Demand-side components of CityCast platform.
|
From page 87... ...
Future Strategy Evaluation 87 The coevolutionary principles of MATSim are realized by simulating an entire day many times through. After each time through, each agent measures how well it accomplished the day's activities given its travel choices (mode, route, congestion, crowding)
|
From page 88... ...
88 Recent Decline in Public Transportation Ridership: Analysis, Causes, and Responses 10.4 Development of Scenarios The goal of these scenarios is to establish a general boundary on the effectiveness of certain strategies. The following scenarios were tested for each city: • Base scenario: This scenario represents 2019 conditions before COVID-19.
|
From page 89... ...
Future Strategy Evaluation 89 The Atlanta scenarios test the potential effectiveness of various strategies in a large and very congested area. 10.5.1 Low-Income Focus The goal of this scenario is to understand how transit ridership might change if bus service were reoriented better to serve low-income riders.
|
From page 90... ...
Figure 10-5. Change in bus ridership by census tract for low-income focus in Atlanta.
|
From page 91... ...
Future Strategy Evaluation 91 The results indicate that in this scenario, linked bus trips would increase 70% among lowincome riders and 88% among the general population. Somewhat surprisingly, this scenario increases ridership among low-income travelers more than the first scenario.
|
From page 92... ...
Figure 10-6. Change in bus ridership by census tract for high-ridership focus in Atlanta.
|
From page 93... ...
Figure 10-7. Change in bus ridership by census tract for high-ridership focus with exclusive bus lanes in Atlanta.
|
From page 94... ...
94 Recent Decline in Public Transportation Ridership: Analysis, Causes, and Responses Figure 10-8. Go Transit routes.
|
From page 95... ...
Figure 10-9. Change in bus ridership by census block group for low-income focus in Oshkosh.
|
From page 96... ...
Figure 10-10. Change in bus ridership by census block group for high-ridership focus in Oshkosh.
|
From page 97... ...
Future Strategy Evaluation 97 distributed geographically. Again, the high-ridership focus actually increases ridership more among low-income riders than the low-income focus.
|
From page 98... ...
Figure 10-11. Change in bus ridership by census block group for high-ridership focus with exclusive bus lanes in Oshkosh.
|
From page 99... ...
Future Strategy Evaluation 99 • While all the strategies tested showed positive ridership results in both locations, the most effective design depends on local conditions. Specifically, bus-only lanes offer higher benefits in more congested settings.
|
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.