Improving ADA Complementary Paratransit Demand Estimation (2007) / Chapter Skim
Currently Skimming:
Pages 26-34
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 26... ...
Before estimating regression equations, the data to be used are reviewed. This section provides summary statistics for all the data items collected and identifies issues that could affect the modeling process.
|
From page 27... ...
10 Improving ADA Complementary Paratransit Demand Estimation Valid N Non-Zero N Minimum Maximum Mean Std. Deviation Total ADA paratransit trips 28 28 11,327 3,982,892 469,028 753,715 ADA paratransit trips per capita 28 28 0.08 1.86 0.60 0.48 Total ADA certified rider trips 21 28 11,131 2,877,476 394,591 631,876 Agency ADA trips 13 13 1,562 764,000 101,087 206,682 Agency non-ADA trips 27 8 0 1,137,128 93,399 260,687 Taxi non-ADA trips 18 4 0 50,314 7,498 16,403 Senior non-ADA trips 16 6 0 524,642 35,564 130,524 Other non-ADA trips 15 7 0 117,004 21,022 34,986 Total non-ADA Trips 28 12 0 524,642 36,405 102,182 Valid N Non-Zero N Minimum Maximum Mean Std.
|
From page 28... ...
small number of non-zero observations is a concern for regression analysis. Results based on such variables are, in effect, based on a very small number of observations.
|
From page 29... ...
A preliminary statistical analysis was conducted to determine how to use these responses using regression on total ADA paratransit trips per capita. It was found that systems that gave nonzero responses have significantly higher ADA paratransit trips per capita than systems that gave zero responses (i.e., agencies serve none of their clients' transportation needs)
|
From page 30... ...
Preliminary Data Analysis 13 Despite the prevalence of missing data, the human service agency transportation variables were kept in the analysis because of their obvious importance from a policy point of view. In order to avoid unacceptable loss of sample size, systems which did not respond or which responded "don't know" were grouped with those that gave responses of 0%.
|
From page 31... ...
have been similarly stated in per capita terms, including RVM of fixed-route service, fixed-route ADA accessible fleet, and non-ADA paratransit trips. At this preliminary stage, only four variables are significantly correlated with ADA paratransit trips per capita.
|
From page 32... ...
Preliminary Data Analysis 15 seen at this level of analysis may become evident once other factors are controlled for. To provide additional basis for considering these variables, correlations among the variables were examined.
|
From page 33... ...
16 Im proving ADA Com plem entary Paratransit Dem and Estim ation Variables of Interest Correlated Variables Pct males 65+ Pct on-time .59 Conditional trip screening .45 All age variables >.90 All disability variables .61 - .74 Pct males 75+ Pct on-time .54 Conditional trip screening .46 All age variables >.90 All disability variables .57 - .73 Pct non-while or Hispanic -.38 Pct females 65+ Pct on-time .56 Conditional trip screening .46 All age variables >.90 All disability variables .63 - .76 Pct females 75+ Pct on-time .52 Conditional trip screening .45 All age variables >.90 All disability variables .60 - .73 Some senior meals .40 Pct non-white or Hispanic Non-ADA trips per capita -.44 Pct males 75+ -.38 Population per square .51 .67 - .86 .67 - .80 mile Days with >-.1" of snowfall -.46 Some Medicaid -.40 Base farePct below poverty Population per square mile Pct non white or Hispanic Pct no vehicle Pct not eligible .39 RVM per capita Population per square mile .92 Pct with sensory disability Pct with physical Pct on-timedisability disability Pct with mental All disability variables All disability variables .71 - .76 .57 - .63 All age variables All age variables Some Medicaid Days with >-.1" of snowfall Pct non-white or Hispanic Some DD/MR*
|
From page 34... ...
focused strongly on controlling costs. However, none of these eligibility variables is correlated with the base fare.
|
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.