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Pages 10-25

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From page 10...
... 10 C h a p t e r 2 This chapter explains the rationale for developing disaggregate models of ADA paratransit travel and how the typical travel demand model structure was adapted for the case of ADA paratransit. There is also a review of the steps carried out by the research team, including selecting sites for collecting data and the actual data collection process.
From page 11...
... Description of the research 11 The alternative to a disaggregate model is an aggregate model, which is one that treats only the combined results of travel decisions by thousands of people (e.g., total trips in an area)
From page 12...
... 12 Improving aDa paratransit Demand estimation: regional Modeling Average probability is not equal to the probability at the average of explanatory variables. The average impact of a change (average of slopes at a and b)
From page 13...
... Description of the research 13 3. Mode choice: The decision to make that series of trips by ADA paratransit or an alternative mode, or some combination of modes.
From page 14...
... 14 Improving aDa paratransit Demand estimation: regional Modeling For this research, a model was estimated to predict the fraction of people in each census tract who apply for and obtain ADA eligibility. One set of variables of interest are those related to disability: • Age • Gender • Employment status (unemployment as an indicator of disability)
From page 15...
... Description of the research 15 • Regional effects. Climate and lifestyles may vary somewhat across regions in ways that affect travel.
From page 16...
... 16 Improving aDa paratransit Demand estimation: regional Modeling made. Instead, a summary measure of accessibility to all potential destinations by each mode was used; this is another example of the type of logsum described earlier.
From page 17...
... Description of the research 17 Site Selection Locations were needed to develop the models with good-quality ADA paratransit and an adequate travel model system. For each location, the process required conducting a travel diary survey of ADA paratransit users and using an existing regional travel demand modeling system.
From page 18...
... 18 Improving aDa paratransit Demand estimation: regional Modeling respondent. Because of these limitations, a special-purpose ADA paratransit travel survey was needed for this research.
From page 19...
... Description of the research 19 of eligible customers, including date of eligibility certification, date of birth (for calculating age) , and the number of trips taken in the preceding 12, 6, and 3 months.
From page 20...
... 20 Improving aDa paratransit Demand estimation: regional Modeling younger persons in the sample -- both because their behavior may be different from the older age groups and because younger people tend to be more difficult to contact during the survey process. In summary, the sample stratification and weighting was done in order to obtain a useful sample for modeling as efficiently as possible.
From page 21...
... Description of the research 21 ity performed (purpose of the trip)
From page 22...
... 22 Improving aDa paratransit Demand estimation: regional Modeling Figure 2-3. Stated preference materials.
From page 23...
... Description of the research 23 Reminder Call The night prior to the assigned travel day, reminder calls were made to the respondent. This reminder call served three key purposes: • To confirm that the respondent received the packet and to answer any questions respondents might have about using the diary to track their travel; • To schedule an appointment for the retrieval interview; and • To increase the likelihood that the household would follow through with recording their travel by reiterating the importance of the study and the household's commitment to participate.
From page 24...
... 24 Improving aDa paratransit Demand estimation: regional Modeling data to the master data tables, and performing quality control on the data. A master control file tracked the progress of each respondent through the various survey stages with codes to allow for immediate identification of problem cases that were not progressing according to schedule, as well as for confirmation that cleared cases moved along as appropriate.
From page 25...
... Description of the research 25 7. 15% were employed and 1% were students; 54% described themselves as "disabled/on disability status" and 22% described themselves as retired.

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