Sample Design for Discrete Choice Analysis of Travel Behavior: The State of the Art

Lerman, Steven R.; Manski, Charles F.; Multisystems, Inc.

doi:10.21949/1526872

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Sample Design for Discrete Choice Analysis of Travel Behavior: The State of the Art

1978-07-01
By Lerman, Steven R. ; Manski, Charles F.

[PDF-2.95 MB]

English

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Details:

Alternative Title:

Sample Design for Discrete Choice Analysis of Travel Behavior
Creators:

Lerman, Steven R. ; Manski, Charles F.

Lerman, Steven R. ; Manski, Charles F. Less -
Corporate Creators:

Multisystems, Inc.
Corporate Contributors:

John A. Volpe National Transportation Systems Center (U.S.) ; United States. Urban Mass Transportation Administration

John A. Volpe National Transportation Systems Center (U.S.) ; United States. Urban Mass Transportation Administration Less -
Subject/TRT Terms:

[+]

Demographics Mathematical Models Mode S Population Reviews Sampling State Of The Art Studies Travel Demand Travel Patterns Trip Generation Urban Transportation
Publication/ Report Number:

UMTA-MA-06-0049-78-8 ; DOT-TSC-UMTA-78-31

UMTA-MA-06-0049-78-8 ; DOT-TSC-UMTA-78-31 Less -
DOI:

https://doi.org/10.21949/1526872
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

United States. Urban Mass Transportation Administration
Abstract:

Discrete choice models represent the choices of individuals among alternatives such as modes of travel, auto types and destinations. This paper presents a review of the state-of-the-art in designing samples for discrete choice analysis of traveler behavior. The objective of this summary is to provide a general framework for analyzing existing data and designing new samples. This paper focuses on discrete choice analysis of travelers' decisions. It incorporates recent published and unpublished theoretical findings as well as some new results. In addition, it addresses the practical concerns which arise in designing and using data samples in travel demand analysis. An effort is made herein to recognize the distinction between the idealizations imposed by formal theory and the real-world issues arising in practice. It is assumed that any sample used is drawn by a process termed stratified sampling, in which the analyst partitions the population based on attributes and choices made, and then selects the fraction of observations taken within each stratum and the total sample size. Observations within strata are drawn at random. Two related problems, determining the distribution of the attributes in the population and estimating the choice probabilities conditional on the attributes, are explored. Various procedures for solving both these problems are detailed. The role of experimentation in extending the range of attributes in the population is explored.
Format:

PDF
Funding:

DOT-TSC-1083
Collection(s):

Volpe Center
Main Document Checksum:

[+]

urn:sha256:e7dee5cf5ee4f842ef338b9593cf561095dfbc0bb6824d4821f250334cdd8a56
Download URL:

https://rosap.ntl.bts.gov/view/dot/10870/dot_10870_DS1.pdf
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Sample Design for Discrete Choice Analysis of Travel Behavior: The State of the Art

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