Cover Image

Not for Sale

View/Hide Left Panel
Click for next page ( 97

The National Academies | 500 Fifth St. N.W. | Washington, D.C. 20001
Copyright © National Academy of Sciences. All rights reserved.
Terms of Use and Privacy Statement

Below are the first 10 and last 10 pages of uncorrected machine-read text (when available) of this chapter, followed by the top 30 algorithmically extracted key phrases from the chapter as a whole.
Intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text on the opening pages of each chapter. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.

Do not use for reproduction, copying, pasting, or reading; exclusively for search engines.

OCR for page 96
Directions for Coordinated Improvement of Travel Surveys and Models Eric Petersen, RAND Europe Peter Vovsha, PB Consult, Parsons Brinckerhoff Inc. A number of recent studies have pointed out the gap deficiencies of such models was the matrix structure of between academic interest in activity-based models the trip distribution and modal-split submodels that and the relative scarcity of activity-based models severely limited the model segmentation and the number implemented for regional and statewide planning agencies. of explanatory variables that could be used. The surveys The issues that hinder the adoption of activity-based mod- were actually much richer than the models, and it was els range from the difficulty in obtaining both resources to not clear why travel surveys should be made even more reestimate existing models and staff to run more compli- complicated (and more expensive to collect). Shifting to cated models to theoretical concerns over the variability the microsimulation modeling paradigm has lifted this involved in microsimulation. This paper focuses on the data technical limitation from model segmentation, allowing requirements to support the estimation of an activity-based for richer, more-complex models, and, in turn, fueling model and will present the minimum requirements and the the desire for better data. desirable features to be included in future household sur- There are several directions in which travel demand veys. The underlying message of this paper should reassure models and corresponding surveys can be significantly planning directors that the basic surveys required to build improved: an activity-based modeling application are similar to those required to update and revalidate a conventional model, 1. Widening the range of explanatory variables used although certain extensions are desirable. A focus on more in models and collected in surveys, limited improvements to conventional surveys does not rep- 2. Improving the understanding and modeling of resent a digression from a move toward activity-based causal linkages across various dimensions of travel models but rather offers a useful intermediate stop on the behavior, and way and takes practical advantage of what can be already 3. Adding attitudinal and SP extensions to conven- done today or in near future. For modelers wishing to tional revealed-preference (RP) surveys. explore the cutting edge of activity-based modeling, the paper also examines two promising areas of research: atti- Each of these points is described below in detail. tudinal and stated-preference (SP) extensions to conven- These three directions are not independent and actually tional surveys. The paper concludes with a survey of are closely intertwined. Furthermore, model improve- existing household surveys from large metropolitan regions ment can proceed in incremental steps rather than in North America and Europe and examines their suitabil- requiring dramatic improvements in all three areas ity for supporting activity-based models. simultaneously. In a resource-constrained environment, For a long time, the structure of travel surveys was the most practical approach may be to conduct a survey limited by the considerations of supporting the develop- for a convention model, but the authors strongly recom- ment of conventional four-step models. One of the major mend that the standard surveys be enhanced with some 85