01127555

Component

https://doi.org/10.3141/2105-02

http://scholar.google.com...witz&publication_year=2009

Data quality refers not only to statistical characteristics of a respective data set but also includes further dimensions that are closely related to user requirements in regard to content, convenience of access, comprehensibility, and usability. Especially with respect to data sets designated for multiple secondary analyses by heterogeneous users, particular attention must be given to data processing, data documentation, and supplementary information. Within the context of a large-scale national household travel survey, a two-stage evaluation approach was developed to get a better understanding of a data set’s usability for various parties. The evaluation process consisted of two parts: first, a retrospective online user survey was completed to get a general overview of the user community, the respective context of data usage, and the users’ overall satisfaction. Subsequently, a one-day user workshop was held. While the survey was designed mainly as an exploratory instrument for effectively revealing the majority of relevant issues, the workshop was intended to discuss complex or controversial matters with highly qualified and committed stakeholders. Both the survey and the workshop revealed the crucial role of a user-centered approach when a survey is conducted. In fact, quite a few survey adjustments can be accomplished with reasonable effort while ensuring comparability and keeping within a given budget. Mostly, these adjustments are related to data processing, documentation, and information. On the basis of the findings, general recommendations were made, with special emphasis on the essential consideration of different user requirements.

01141653

09-1526

English

pp 11-17

2009

Transportation Research Record: Journal of the Transportation Research Board

9780309126205

Print

References (5) ; Tables (4)

Data files; Data quality; Households; Information management; Information processing; Travel surveys

Data documentation; User requirements

Data and Information Technology; Highways; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB

Jan 30 2009 5:45PM

• A Semidirective Interview Method to Analyze Behavioral Changes: A Focus on Two Case Studies
• Bayesian Training and Committees of State-Space Neural Networks for Online Travel Time Prediction
• Development of Geolocation Data Compression for Transportation Target Identification
• Distributed Approach for Estimation of Dynamic Origin–Destination Demand
• Driver-Assisted Bus Interview: Passive Transit Travel Survey with Smart Card Automatic Fare Collection System and Applications
• Efficiency and Effectiveness of Cell Phone Samples in Transportation Surveys
• Forecasting Network Data: Spatial Interpolation of Traffic Counts from Texas Data
• Generating Internationally Comparable Figures on Long-Distance Travel for Europe
• Household Travel Surveys with GPS: An Experiment
• Kinematic Terrestrial Light-Detection and Ranging System for Scanning
• Measuring and Estimating Suppressed Travel with Enhanced Activity–Travel Diaries
• Model-Based Synthesis of Household Travel Survey Data in Small and Midsize Metropolitan Areas
• Participatory Geographic Information Systems and Active Transportation: Collecting Data and Creating Change
• Processing Raw Data from Global Positioning Systems Without Additional Information
• Transport and Surveillance Aspects of Location-Based Services
• Vehicle Detection from Satellite Images: Intensity-, Chromaticity-, and Lane-Based Method