00334193

Component

http://onlinepubs.trb.org...s/trr/1980/775/775-007.pdf

https://scholar.google.co...burg&publication_year=1980

The effects in survey sampling of nonadherence to the assumption that all elements of a selected sample provide the desired information are investigated. On the basis of a thorough survey sample that had four follow-up reminders (77 percent return rate) and a subsequent survey of nonrespondents, it is shown that substantial misrepresentations of mobile households, trip frequencies, mode-choice distributions, and certain trip purposes become evident. A number of precautions and remedies are suggested to deal with this problem in order to improve the quality of the information input used for the analysis of travel behavior. Not only is the nonresponse bias for low response rates substantially greater, but it also affects the trip structure (frequency, choice, purpose, and destination) more than is the case in a more-exhaustive survey sample. It is demonstrated that a systematic bias arises due to the underrepresentation of nonmobile persons. It is therefore essential to take steps that will increase the willingness of the nonmobile persons to respond to such surveys and that will generate more cost-effective methods to accomplish this objective. It is still necessary to aim for as large a response rate as possible, since the systematic nonresponse bias cannot be compensated for by sociodemographic weighting. A reduction in the follow-up reminders cannot be recommended.

Publication of this paper sponsored by Committee on Passenger Travel Demand Forecasting. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved.

01411594

pp 34-38

1980

Transportation Research Record

59th Annual Meeting of the Transportation Research Board

0309031192

Print

References (2) ; Tables (6)

Accuracy; Bias (Statistics); Data collection; Frequency (Electromagnetism); Mode choice; Sampling; Surveys; Travel patterns; Trip purpose

Highways; Planning and Forecasting; I10: Economics and Administration; I72: Traffic and Transport Planning

TRIS, TRB

Oct 28 1981 12:00AM

• ASSESSMENT OF LAND-USE AND SOCIOECONOMIC FORECASTS IN THE BALTIMORE REGION
• CAR-OWNERSHIP FORECASTING TECHNIQUES IN GREAT BRITAIN
• COMPONENTS OF CHANGE IN URBAN TRAVEL
• MODEL SPECIFICATION, MODAL AGGREGATION, AND MARKET SEGMENTATION IN MODE-CHOICE MODELS: SOME EMPIRICAL EVIDENCE
• NETWORK EQUILIBRATION WITH ELASTIC DEMANDS
• SIMPLE EQUILIBRIUM ANALYSIS OF THE DEDICATION OF A FREEWAY LANE TO EXCLUSIVE BUS USE
• STRATEGY STUDIES FOR URBAN TRANSPORT IN THE NETHERLANDS
• STUDY OF THE TRANSPORTATION CORRIDOR BETWEEN RIO DE JANEIRO, SAO PAULO, AND CAMPINAS
• TRAVEL DEMAND FORECASTING BY USING THE NESTED MULTINOMIAL LOGIT MODEL
• USE OF INCREMENTAL FORM OF LOGIT MODELS IN DEMAND ANALYSIS