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From page 1... ... Improving ADA Complementary Paratransit Demand Estimation Page H-1 • Transit Cooperative Research Program Handbook for Estimating ADA Paratransit Demand Handbook for Estimating ADA Paratransit Demand Introduction The Americans with Disabilities Act of 1990 (ADA) created a requirement for complementary paratransit service for all public transit agencies that provide fixed-route service. Read the entire page →
From page 2... ... Page H-2 • TCRP Report 119 Improving ADA Complementary Paratransit Demand Estimation Handbook for Estimating ADA Paratransit Demand Reasons for this include lack of data, lack of reliable measures, and the small sample size that was available. The fact that a variable is not included in the demand estimation tools is not intended to suggest that it is not important or that transit operators should ignore it in planning for future demand. Read the entire page →
From page 3... ... Improving ADA Complementary Paratransit Demand Estimation Page H-3 • Transit Cooperative Research Program Handbook for Estimating ADA Paratransit Demand 4. A formula based on the regression model that was used to create the first three tools. Read the entire page →
From page 4... ... Page H-4 • TCRP Report 119 Improving ADA Complementary Paratransit Demand Estimation Handbook for Estimating ADA Paratransit Demand Appropriate Uses of the Demand Estimation Tools As with any model, the demand estimation tools need to be used with caution. Suggested uses include: Planning for elimination of capacity constraints: For systems that are still experiencing difficulties with capacity constraints, the tools provide a way of estimating how much ridership may increase as these capacity constraints are removed. Read the entire page →
From page 5... ... Improving ADA Complementary Paratransit Demand Estimation Page H-5 • Transit Cooperative Research Program Handbook for Estimating ADA Paratransit Demand differences reflect the entire history of fares at the two systems and the adjustments that riders have made to these fares over many years. In the short run, meaning one or two years, the impact of a fare change may be much less. Read the entire page →
From page 6... ... Page H-6 • TCRP Report 119 Improving ADA Complementary Paratransit Demand Estimation Handbook for Estimating ADA Paratransit Demand Variables Not in the Model A number of factors commonly believed to influence demand for paratransit are not in the demand estimation tools. Some of the notable cases include: Population in older age groups: The research found that the percentage of the population that is above the age of 65 or 75 did not significantly affect paratransit demand at the representative systems. Read the entire page →
From page 7... ... Improving ADA Complementary Paratransit Demand Estimation Page H-7 • Transit Cooperative Research Program Handbook for Estimating ADA Paratransit Demand frequent busy signals should assume that remedying this situation may well result in higher demand levels (other factors being equal) even though the demand estimation tools do not provide a quantitative estimate of this effect. Read the entire page →
From page 8... ... Page H-8 • TCRP Report 119 Improving ADA Complementary Paratransit Demand Estimation Handbook for Estimating ADA Paratransit Demand for paratransit services. Unfortunately, the research was not able to identify the likely impact of improving the economic condition of people with disabilities. Read the entire page →
From page 9... ... Improving ADA Complementary Paratransit Demand Estimation Page H-9 • Transit Cooperative Research Program Handbook for Estimating ADA Paratransit Demand The spreadsheet gives predicted annual ridership and annual ridership per capita, as well as confidence limits for these. A separate tab provides a graphical representation of the confidence limits. Read the entire page →
From page 10... ... Page H-10 • TCRP Report 119 Improving ADA Complementary Paratransit Demand Estimation Handbook for Estimating ADA Paratransit Demand Graphical Demand Estimation Tool A form is given in Figure 3 that can be used for hand calculations. There is one row for each factor of the estimation tool. Read the entire page →
From page 11... ... Improving ADA Complementary Paratransit Demand Estimation Page H-11 • Transit Cooperative Research Program Handbook for Estimating ADA Paratransit Demand Figure 4 Example Calculation with Graphical Tools Total ADA Service Area Population X X 31.91 X X Fare Factor X X Eligibility Factor X X Conditional Trip Screening Factor: 0.52 if trips are screened 1.0 if trips are not screened X X Poverty Factor X X On-time Window Factor = = 448,000 31.91 0.59 0.84 0.52 0.39 0.098 ADA Paratransit Trips per Year (Including Attendants and Companions) Read the entire page →
From page 12... ... Page H-12 • TCRP Report 119 Improving ADA Complementary Paratransit Demand Estimation Handbook for Estimating ADA Paratransit Demand Figure 5 Factor for Base Paratransit Fare 0 0.5 1 1.5 2 2.5 3 $0.00 $0.50 $1.00 $1.50 $2.00 $2.50 $3.00 $3.50 $4.00 $4.50 $5.00 Base Fare B as e Fa re F ac to r Read the entire page →
From page 13... ... Improving ADA Complementary Paratransit Demand Estimation Page H-13 • Transit Cooperative Research Program Handbook for Estimating ADA Paratransit Demand Figure 6 Factor for Percent Found Conditionally Eligible 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Percent Conditionally Eligible El ig ib ili ty F ac to r Read the entire page →
From page 14... ... Page H-14 • TCRP Report 119 Improving ADA Complementary Paratransit Demand Estimation Handbook for Estimating ADA Paratransit Demand Figure 7 Factor for Percent Below Poverty Level 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% Percent of Population below Poverty Level Po ve rt y Fa ct or Read the entire page →
From page 15... ... Improving ADA Complementary Paratransit Demand Estimation Page H-15 • Transit Cooperative Research Program Handbook for Estimating ADA Paratransit Demand Figure 8 Factor for On-time Window 0.05 0.06 0.07 0.08 0.09 0.1 0.11 0.12 0.13 0.14 0.15 0.16 0.17 0.18 0.19 0.2 10 15 20 25 30 35 40 45 50 55 60 Effective Window (Minutes) O ntim e W in do w F ac to r Read the entire page →
From page 16... ... Page H-16 • TCRP Report 119 Improving ADA Complementary Paratransit Demand Estimation Handbook for Estimating ADA Paratransit Demand Elasticities and Difference Factors The demand model provides elasticities for some variables and "difference factors" that function in a similar way for others. These can be used to help compare two systems or, in some cases, to estimate the effect of small changes. Read the entire page →
From page 17... ... Improving ADA Complementary Paratransit Demand Estimation Page H-17 • Transit Cooperative Research Program Handbook for Estimating ADA Paratransit Demand Figure 10 Formula for Predicting Demand Formula-Based Estimation For those who are comfortable with mathematics, a formula is provided that is the basis of the other tools. Most users will probably prefer to use the graphical tools, the spreadsheet provided with the handbook, or the elasticities and difference factors. Read the entire page →

From page 1...

... Improving ADA Complementary Paratransit Demand Estimation Page H-1 • Transit Cooperative Research Program Handbook for Estimating ADA Paratransit Demand Handbook for Estimating ADA Paratransit Demand Introduction The Americans with Disabilities Act of 1990 (ADA) created a requirement for complementary paratransit service for all public transit agencies that provide fixed-route service.