Estimating the Value of Truck Travel Time Reliability (2019) / Chapter Skim
Currently Skimming:
Pages 75-89
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 75... ...
75 Stated-preference surveys have been the primary tool used for estimating the value of reliability (VOR) because they allow researchers to isolate the effect of unreliability on respondents' choices.
|
From page 76... ...
76 Estimating the Value of Truck Travel Time Reliability A.1 Participation Identifying decision-makers to survey in passenger transportation is significantly easier than in freight transportation, because decisions in freight result from the interactions of different companies. As can be seen in Table A-1, previous studies have surveyed logistics managers, freight forwarders, drivers, receivers, and others.
|
From page 77... ...
Stated-Preference Survey Design 77 whether firm size increases or decreases VOR. Some larger firms will have greater flexibility in responding to unreliability events, while others (such as those in the automobile manufacturing sector)
|
From page 78... ...
78 Estimating the Value of Truck Travel Time Reliability stated-preference survey because there are always multiple priorities that need to be balanced. Johnston et al.
|
From page 79... ...
Stated-Preference Survey Design 79 models (reduce the combined standard errors of the model estimates)
|
From page 80... ...
80 Estimating the Value of Truck Travel Time Reliability attributes can also result in multicollinearity, thereby making it hard to estimate individual parameters. Some researchers have argued that no more than three attributes should be used in this type of study.
|
From page 81... ...
Stated-Preference Survey Design 81 A.3.2 Attribute Levels Choosing attribute levels for the stated-preference questions is one of the most important decisions in constructing the survey. Johnston et al.
|
From page 82... ...
82 Estimating the Value of Truck Travel Time Reliability (2008) point out that many of these approaches violate the independence of errors assumption that is common in many choice models.
|
From page 83... ...
Stated-Preference Survey Design 83 the previous section, the statistical properties of these surveys are typically unknown, and it is often impossible to calculate the standard errors of estimates. A.4.1 Fixed Choice Sets The literature on designing stated-preference surveys was reviewed (Louviere et al.
|
From page 84... ...
84 Estimating the Value of Truck Travel Time Reliability VOR for a single mode)
|
From page 85... ...
Stated-Preference Survey Design 85 A.5 Heterogeneity Capturing the variability of the VOR in the population of shippers and motor carriers is important from a planning perspective. Ultimately, the degree of heterogeneity that can be captured depends on the range of respondents taking the survey.
|
From page 86... ...
86 Estimating the Value of Truck Travel Time Reliability gathering preference information from transport managers." Maier et al.
|
From page 87... ...
Stated-Preference Survey Design 87 Figure A-5. Stated-preference survey: Example D
|
From page 88... ...
88 Estimating the Value of Truck Travel Time Reliability Hensher et al.
|
From page 89... ...
Stated-Preference Survey Design 89 • Consider firm characteristics to describe the sectors for which results are representative. The results can be reweighted on the basis of the characteristics of the respondents (ranking)
|
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.