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Pages 9-24

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From page 9...
... 9 This literature review is intended to provide background on the current state of practice in transit technologies and examines a range of sources, including federal guidance, academic papers, policy white papers, existing survey documentation, and past TCRP syntheses. These sources were primarily identified using Google Scholar and TRB's Transportation Research Information Documentation (TRID)
From page 10...
... 10 Public Transit Rider Origin–Destination Survey Methods and Technologies Overview of Survey Methods Transit providers and metropolitan planning organizations (MPOs) use several methods for developing and conducting rider surveys.
From page 11...
... Literature Review 11 • Privacy concerns may prevent individuals or groups from participating if they do not want to share personal information with a surveyor (Agrawal et al., 2015)
From page 12...
... 12 Public Transit Rider Origin–Destination Survey Methods and Technologies a basic questionnaire that can be filled out and returned to a surveyor. In others, the first step (card distribution)
From page 13...
... Literature Review 13 Under either of these measures, a high response rate increases the likelihood that the sample accurately reflects the actual transit riding population by indicating good coverage across a population and reduced nonresponse bias (Agrawal et al., 2015)
From page 14...
... 14 Public Transit Rider Origin–Destination Survey Methods and Technologies Design Factors Affecting Response Rate The design of a survey and the method by which it is conducted can have a large influence on its response rate. • Survey Method: As discussed above, survey methods can have a significant impact on response rate, with interview-based approaches frequently yielding a higher response rate than selfadministered methods (Schmitt, 2012)
From page 15...
... Literature Review 15 • Short Trips: Short transit trips are notably challenging to survey; respondents may simply not have enough time to complete an interview or a self-administered questionnaire (AECOM, 2009; Agrawal et al., 2015)
From page 16...
... 16 Public Transit Rider Origin–Destination Survey Methods and Technologies The definition of a "usable" survey response varies from agency to agency, and depends highly on the expressed goal of the survey. For most OD surveys, the essential information includes questions on trip characteristics and demographics (Cherrington, 2007)
From page 17...
... Literature Review 17 willingness to answer questions on race and ethnicity if they are interviewed by someone of a similar racial or ethnic background (Lor et al., 2017)
From page 18...
... 18 Public Transit Rider Origin–Destination Survey Methods and Technologies 2005; Cherrington, 2007)
From page 19...
... Literature Review 19 • Stratified Random Sample: In a stratified random sample, the sample frame is divided in homogeneous subsets, or strata, and then random sampling techniques are used to select individuals from within those strata (Baltes, 2002; Schaller, 2005; Cherrington, 2007)
From page 20...
... 20 Public Transit Rider Origin–Destination Survey Methods and Technologies Sample Bias Systematic errors created by a sampling method are referred to as sample bias (Baltes, 2002)
From page 21...
... Literature Review 21 Some transit providers choose to include location along the route as a fourth expansion factor dimension (Schmitt, 2012)
From page 22...
... 22 Public Transit Rider Origin–Destination Survey Methods and Technologies expanded based on unlinked trips, which counts each boarding as a separate trip regardless of transfers. To transform unlinked trips to linked trips, each expansion weight needs to be divided by the number of unlinked segments that the respondent rode during their trip.
From page 23...
... Literature Review 23 which the data are collected. As a result, passive data sets tend to be "incomplete" in the sense that not every question can be answered from a single product.
From page 24...
... 24 Public Transit Rider Origin–Destination Survey Methods and Technologies penetration rate is lower and, in many cases, undisclosed. At present, neither type of data is likely to provide statistics on the number of people taking transit between points in a system.

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