Metaanalysis of Travel Survey Methods

1998 ◽  
Vol 1625 (1) ◽  
pp. 72-78 ◽  
Author(s):  
Madhuri S. Korimilli ◽  
Ram M. Pendyala ◽  
Elaine Murakami
Keyword(s):  
Travel Demand ◽  
Survey Methods ◽  
Response Rates ◽  
Design Parameters ◽  
Modeling Tools ◽  
Travel Survey ◽  
Household Travel ◽  
Household Travel Surveys ◽  
The Impact ◽  
Comparative Examination

Travel surveys often serve as the primary sources of information on travel demand characteristics. They provide critical data for transportation planning and decision making. In recent times, several factors motivate a comparative examination of travel survey methods. First, new travel demand modeling tools, such as those based on activity-based methods, are placing greater demands on travel behavior data gathered from household travel surveys. Second, response rates from household travel surveys have been showing a steady decline, possibly because of an increasingly survey-fatigued population. Third, declining resource availability at metropolitan planning agencies places emphasis on the need to maximize response rates to lower data collection costs per completed respondent. Ideally, a comparative examination of travel survey methods is best done through a carefully constructed experimental design that permits the isolation of the impact of various survey design parameters on response rates. However, the conduct of such a controlled experiment virtually is impractical. A metaanalysis of a sample of travel surveys conducted in the past 10 years is presented. A predictive model of response rates is developed by using linear regression techniques and the practical application of the model is demonstrated through several numerical examples.

Investigating the capacity of continuous household travel surveys in capturing the temporal rhythms of travel demand

2019 ◽  
Vol 47 (4) ◽  
pp. 1787-1808
Author(s):  
Wafic El-Assi ◽  
Catherine Morency ◽  
Eric J. Miller ◽  
Khandker Nurul Habib
Keyword(s):  
Travel Demand ◽  
Household Travel ◽  
Household Travel Surveys

Household Travel, Household Characteristics, and Land Use: An Empirical Study from the 1994 Portland Activity-Based Travel Survey

1998 ◽  
Vol 1617 (1) ◽  
pp. 10-17 ◽  
Author(s):  
Xiaoduan Sun ◽  
Chester G. Wilmot ◽  
Tejonath Kasturi
Keyword(s):  
Land Use ◽  
Travel Demand ◽  
Land Development ◽  
Data Set ◽  
Travel Survey ◽  
Forecasting Models ◽  
Demand Models ◽  
Residence Location ◽  
Household Travel ◽  
Use Factors

How a household’s travel behavior is influenced by its socioeconomic and land use factors has been a subject of interest for the development of travel demand forecasting models. This study investigates the relative importance of these factors based on the number of household daily trips and vehicle miles traveled (VMT). The travel data used in the study come from the 1994 Portland Activity-Based Travel Survey. In addition to income, vehicle ownership, and household size, other significant factors in household travel have been identified, such as the presence of car phones, dwelling type, home ownership, and even the length of resident’s time in the current home. Most important, this study has qualitatively revealed that land use makes a big difference in household VMT, whereas its impact on the number of daily trips is rather limited. After controlling for the land use variables, such as density and land development balance, it appears that there is little difference in household income distribution among three different land use areas. The household life stage/lifestyle appears to be more relevant to the residence location. And the land use development of the residence location imposes the greatest impact on the household daily VMT. The results from this study provide some empirical evidence to the development of travel forecasting models. Especially by examining the relationship between land use and household travel, the results shed light on how to incorporate land use factors into comprehensive travel demand models that can be used by policy makers in evaluation of alternative land use policies. This study serves as a step toward more comprehensive studies on transportation and land use. The results presented represent a preliminary analysis of an extensive data set; considerable additional analysis is already in process.

Predicting and Applying Differential Response Rates in Address-Based Sampling for a Household Travel Survey

2015 ◽  
Vol 2526 (1) ◽  
pp. 119-125 ◽  
Author(s):  
Mark Bradley ◽  
Asa Bergman ◽  
Michelle Lee ◽  
Elizabeth Greene ◽  
Suzanne Childress
Keyword(s):  
Geographic Distribution ◽  
Low Income ◽  
Puget Sound ◽  
Response Rates ◽  
Initial Contact ◽  
Block Group ◽  
Travel Survey ◽  
Household Travel Survey ◽  
Household Travel ◽  
Block Groups

In recent years, the primary sampling method used for household travel surveys has shifted steadily from random digit dial telephone contact to address-based sampling based on an initial contact by mail. One advantage in the use of address-based sampling is that researchers can control the geographic distribution of households that are invited to participate in the survey and can design a sampling plan that is based on publicly available data about the demographic and geographic distribution of households in the region. This paper describes how response rates from a previous survey were used to anticipate how response rates for a household travel survey for the Puget Sound Regional Council in Washington State would vary across census block groups as a function of the percentage of low-income households in those block groups. The anticipated response rates were used to vary the number of households invited to participate from each block group to obtain a more representative sample. An analysis of the resulting Puget Sound survey data estimated a model for predicting final response rates as a function of published population statistics for the block group level. In addition to income, block group factors found to be significant predictors were household size distribution, owner versus renter fraction, vehicle ownership distribution, and commute mode shares for the nonauto modes. The transferability of the method was tested with data from a subsequent household travel survey done in Anchorage, Alaska. A model based on Puget Sound data only was used to predict response rates in the Anchorage data with success.

Impact of Underreporting on Mileage and Travel Time Estimates: Results from Global Positioning System-Enhanced Household Travel Survey

2003 ◽  
Vol 1854 (1) ◽  
pp. 189-198 ◽  
Author(s):  
Jean Wolf ◽  
Marcelo Oliveira ◽  
Miriam Thompson
Keyword(s):  
Travel Time ◽  
Global Positioning System ◽  
Travel Demand ◽  
Positioning System ◽  
Gps Technology ◽  
Travel Survey ◽  
Household Travel Survey ◽  
Time Estimates ◽  
Global Positioning ◽  
Household Travel

Trip underreporting has long been a problem in household travel surveys because of the self-reporting nature of traditional survey methods. Memory decay, failure to understand or to follow survey instructions, unwillingness to report full details of travel, and simple carelessness have all contributed to the incomplete collection of travel data in self-reporting surveys. Because household trip survey data are the primary input into trip generation models, it has a potentially serious impact on transportation model outputs, such as vehicle miles of travel (VMT) and travel time. Global Positioning System (GPS) technology has been used as a supplement in the collection of personal travel data. Previous studies confirmed the feasibility of applying GPS technology to improve both the accuracy and the completeness of travel data. An analysis of the impact of trip underreporting on modeled VMT and travel times is presented. This analysis compared VMT and travel time estimates with GPS-measured data. These VMT and travel time estimates were derived by the trip assignment module of each region's travel demand model by using the trips reported in computer-assisted telephone inter views. This analysis used a subset of data from the California Statewide Household Travel Survey GPS Study and was made possible through the cooperation of the metropolitan planning organizations of the three study areas (Alameda, Sacramento, and San Diego, California).

Understanding Trip Misreporting Behavior Using Global Positioning System-Assisted Household Travel Survey

2014 ◽  
pp. 91-103
Author(s):  
Xia Jin ◽  
Hamidreza Asgari ◽  
Md Sakoat Hossan
Keyword(s):  
Global Positioning System ◽  
Econometric Models ◽  
Positioning System ◽  
Indicator Variable ◽  
Travel Information ◽  
Travel Survey ◽  
Household Travel Survey ◽  
Global Positioning ◽  
Household Travel ◽  
Household Travel Surveys

Trip misreporting has been a persistent and well-known problem with household travel surveys. Global Positioning System (GPS)-based prompted-recall method provides the opportunity to capture reliable and accurate travel information from the respondents. By comparing the GPS sample with the diary sample, this chapter investigates the pattern and magnitude of trip misreporting behavior, with a focus on shopping and discretionary tours within 15-minutes trip distance. Econometric models are developed to account for trip misreporting in tour frequency models by introducing a sample-indicator variable. The interaction effects of the sample-indicator variable with various personal and household variables are tested, which reflect the influences of these personal and household attributes on trip misreporting behavior. A number of personal and household characteristics showed significant impacts on misreporting, including driver license status, race, person type, household type, household income, and number of household vehicles.

Obtaining Travel Intensity Profiles from Household Travel Survey Data

1998 ◽  
Vol 1625 (1) ◽  
pp. 95-101 ◽  
Author(s):  
S.M. Roddis ◽  
A.J. Richardson ◽  
C.D. Mcpherson
Keyword(s):  
Road Traffic ◽  
Demographic Data ◽  
Driver Behavior ◽  
Spatiotemporal Variations ◽  
Comprehensive Understanding ◽  
Travel Survey ◽  
Household Travel Survey ◽  
Using Data ◽  
Household Travel ◽  
Household Travel Surveys

Innovative ways to examine the spatiotemporal variations in road traffic, by using data from the Victorian Activity and Travel Survey (VATS), are presented. The approach is shown to offer significant advantages over traditional methods of analysis, such as observational surveys or roadside traffic counts. By linking the complete vehicle travel paths reported in VATS with the detailed demographic data of the respondents, a comprehensive understanding of travel and driver behavior is developed. The general methodology described is shown to be applicable to any travel data obtained from household travel surveys, especially where the origins and destinations of the recorded trips have been geocoded and stored in a geographic information system.

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