Trip Generation Rates for Transportation Impact Analyses of Infill Developments (2013) / Chapter Skim
Currently Skimming:
Pages 30-36
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 30... ...
30 The research team identified two types of confirmation as evidence of the approach's ability to predict urban infill trip generation and to demonstrate its validity to the transportation profession: 1. Verification – A process that focuses on ensuring that the proposed methodology was correctly developed (e.g., the process/equations were correctly translated, the expected variables cancel)
|
From page 31... ...
31 5.1 Selecting a Method for Verification Any of the context classifications presented in this report, if also meeting transit proximity criteria, can have development that qualifies as infill. Therefore, the approach and the methods of applying the approach presented in this report needed to be applicable across a spectrum of contexts.
|
From page 32... ...
32 Case study sites were identified using the guidelines presented in Chapter 4, and data were collected consistent with the procedures for deriving the adjustment factors using the minimum data collection variant. Data collected at the case study sites included: • Vehicle counts at driveways of parking facilities exclusive to the site, • Vehicle occupancy, • Person trips entering and exiting the site's building, • Observation of mode of access, and • General observation of site conditions and surrounding context.
|
From page 33... ...
33 generation estimates appeared reasonable to the research team and, in fact, is similar to the findings from other research (2)
|
From page 34... ...
34 5.4.3 Retail and Restaurant Land Use Categories Table 5.4 and Table 5.5 compare predicted with actual peak hour vehicle trips for the retail and restaurant land use categories, respectively. The application of the method to the two retail sites resulted in an outcome that was different from the outcome observed for office sites.
|
From page 35... ...
35 rant site was included in the data collection site, and this fact alone makes any findings inconclusive. However, the research team wanted to see if the method resulted in the same pattern of overpredicting surveys and estimating substantially lower trips that ITE data produces, such as seen with residential and office uses, or if the method would produce inconsistent and widely variable findings like those observed in the retail sites.
|
From page 36... ...
36 to ITE trip estimates. The surveys of many of the sites produced low traffic volumes, potentially introducing an exaggerated percentage difference based on a small number of trips.
|
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.