00714869

Component

http://onlinepubs.trb.org...trr/1995/1493/1493-020.pdf

https://scholar.google.co...pher&publication_year=1995

Because response rates vary by household type and by neighborhood, certain groups can be underrepresented. Factoring can rectify this situation somewhat for data used for descriptive purposes, but assumptions underlying many model estimation procedures are violated if factored data are used. Perhaps the only practical solution is to increase the sampling rate of underreporting groups. Because sampling rates should be proportional to reciprocals of response rates, a model to estimate response rates is presented. Such a model could be of value for implementing future surveys. A logit regression model was constructed with the demographic data as independent variables. Observations on the dependent variable, response rate, were obtained from a large-scale household travel survey conducted in the Chicago metropolitan area by the Chicago Area Transportation Study.

This paper appears in Transportation Research Record No. 1493, Travel Demand Forecasting, Travel Behavior Analysis, Time-Sensitive Transportation, and Traffic Assignment Methods. 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

01399823

English

p. 170-177

1995

Transportation Research Record

0309061709

Figures (3) ; References (9) ; Tables (2)

Demographics; Households; Logits; Travel surveys

Chicago Area Transportation Study

Response rates; Underreporting

Chicago (Illinois)

Chicago (Illinois)

Highways; Planning and Forecasting; Public Transportation; Society; I72: Traffic and Transport Planning

TRIS, TRB

Dec 8 1995 12:00AM

• ALTERNATIVE METHODS TO ITERATE A REGIONAL TRAVEL SIMULATION MODEL: COMPUTATIONAL PRACTICALITY AND ACCURACY
• ANALYSIS OF TEMPORAL TRANSFERABILITY OF DISAGGREGATE WORK TRIP MODE CHOICE MODELS
• COMPARISON OF ALTERNATIVE METHODS FOR UPDATING DISAGGREGATE LOGIT MODE CHOICE MODELS
• COMPETING RISK HAZARD MODEL OF ACTIVITY CHOICE, TIMING, SEQUENCING, AND DURATION
• CONTRIBUTIONS TO LOGIT ASSIGNMENT MODEL
• EFFECTS OF DIFFERENT DATA COLLECTION PROCEDURES IN TIME USE RESEARCH
• EFFECTS OF INCREASED HIGHWAY CAPACITY: RESULTS OF HOUSEHOLD TRAVEL BEHAVIOR SURVEY
• EVOLUTION OF NETWORK FLOWS UNDER REAL-TIME INFORMATION: DAY-TO-DAY DYNAMIC SIMULATION ASSIGNMENT FRAMEWORK
• EVOLUTIONARY TRANSPORTATION PLANNING MODEL: STRUCTURE AND APPLICATION
• EXPLORING ROUTE CHOICE BEHAVIOR USING GEOGRAPHIC INFORMATION SYSTEM-BASED ALTERNATIVE ROUTES AND HYPOTHETICAL TRAVEL TIME INFORMATION INPUT
• IMPLEMENTING COMBINED MODEL OF ORIGIN-DESTINATION AND ROUTE CHOICE IN EMME/2 SYSTEM
• IMPROVING EFFICIENCY OF COMMERCIAL VEHICLE OPERATIONS USING REAL-TIME INFORMATION: POTENTIAL USES AND ASSIGNMENT STRATEGIES
• INFLUENCE OF DUTCH MOBILITY POLICY ON EMANCIPATION PROCESS FOR WOMEN AND MEN
• INTRODUCTION OF INFORMATION FEEDBACK LOOP TO ENHANCE URBAN TRANSPORTATION MODELING SYSTEM
• INVESTIGATING EFFECT OF TRAVEL TIME VARIABILITY ON ROUTE CHOICE USING REPEATED-MEASUREMENT STATED PREFERENCE DATA
• NATIONWIDE RECREATION TRAVEL SURVEY IN JAPAN: OUTLINE AND MODELING APPLICABILITY
• NEW APPROACH TO ROUTE CHOICE DATA COLLECTION: MULTIPHASE, COMPUTER-AIDED TELEPHONE INTERVIEW PANEL SURVEYS USING GEOGRAPHIC INFORMATION SYSTEMS DATA BASE
• QUASI-CONTINUOUS DYNAMIC TRAFFIC ASSIGNMENT MODEL
• RECURSIVE STRUCTURE FOR EXACT LINE PROBABILITIES AND EXPECTED WAITING TIMES IN MULTIPATH TRANSIT ASSIGNMENT
• SAMPLE SELECTION BIAS WITH MULTIPLE SELECTION RULES: APPLICATION WITH RESIDENTIAL RELOCATION, ATTRITION, AND ACTIVITY PARTICIPATION IN PUGET SOUND TRANSPORTATION PANEL
• TEMPORAL VARIATIONS ON ALLOCATION OF TIME
• TRAVEL-TIME UNCERTAINTY, DEPARTURE TIME CHOICE, AND THE COST OF MORNING COMMUTES
• TRIP GENERATION FOR SHOPPING TRAVEL