Development of Research Problem Statements That Utilize Naturalistic Driving Data to Improve Teen Driving Safety (2022) / Chapter Skim
Currently Skimming:
Pages 5-13
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 5... ...
5 C H A P T E R 2 Research Approach Overview of NDS Data Resources, Strengths, and Limitations Work began in this project with a scan of the NDS database, using the SHRP2 InSight tool (https://insight.shrp2nds.us/) , to gain an appreciation of the resources available to researchers, their strengths, and their limitations.
|
From page 6... ...
6 trip segments that were identified as a safety critical event or a balanced-sample baseline. Safety critical events (crashes, near crashes)
|
From page 7... ...
7 Priority Research Questions A project activity that followed directly from the consideration of strengths and limitations of the NDS database for teen behavioral analysis was to identify priority research questions to which such analyses might be oriented, and that may be informed through naturalistic data. Without such a framework any particular content or attribute of the database can be considered a ‘strength' only in an abstract sense, i.e., not necessarily being relevant to the present research agenda.
|
From page 8... ...
8 Inventory of NDS Data Elements An inventory of SHRP2 NDS data elements was needed to operationalize measures/ measurement constructs invoked in the high priority research questions. Our team developed an inventory associated with key measurement constructs embedded within the preceding list of research questions, comprised of variable definitions and data elements from the tables displayed on the SHRP2 InSight website data dictionary, and also from the RID.
|
From page 9... ...
9 Figure 1. Inventory associated with key measurement constructs.
|
From page 10... ...
10 The strengths of the NDS database notwithstanding, our research team considered other sources of data that could potentially be useful for operationalizing variables in teen behavioral analyses, and examined the potential for accessing these supplemental data sources. Three sources were considered in this regard: 1.
|
From page 11... ...
11 independent or dependent variable. In terms of filling a critical gap in the NDS, the importance of being able to specify not only a teen driver's glance direction but actual and instantaneous glance location is unrivaled as an allocation-of-attention measure.
|
From page 12... ...
12 rare in naturalistic studies of teenage drivers, anecdotal evidence from these studies suggests crashes often occur when teenagers are driving in locations and/or situations with which they are unfamiliar. The NDS database is well suited to examine this question.
|
From page 13... ...
13 demonstrated that cell phone use -- and texting in particular -- is associated with decrements in driving performance (McCartt, Hellinga, & Braitman, 2006; Caird et al., 2008)
|
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.