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Impacts of Proxy Reporting in Household Surveys on Trip Rates

Impacts of Proxy Reporting in Household Surveys on Trip Rates. Ed Hard | David Pearson. 13 th TRB Transportation Planning Applications Conference Reno , NV May 12, 2011. What We Did….

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Impacts of Proxy Reporting in Household Surveys on Trip Rates

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  1. Impacts of Proxy Reporting in Household Surveys on Trip Rates Ed Hard | David Pearson 13th TRB Transportation Planning Applications Conference Reno, NV May 12, 2011

  2. What We Did…. • Analyzed difference in the number of trips reported by respondent, proxy, and diary • Used data from 3 HH surveys • All surveys used same methodology and instruments • Person trips compared and evaluated by retrieval method

  3. Evaluation of Person Trips • Compiled and compared for respondent, proxy, and diary methods by • Aggregate totals by urban area • Per person by age cohort • Per person by HH size and income • Various categories of person and HH lifecycles • HBW, HBNW, NHB by area and by age cohort, HH size and income, and lifecycle

  4. Comparison of Person Trip Rates • Calculated difference in rates to determine if statistically significant difference between • Respondent and proxy • Respondent and diary • Proxy and diary • Used test statistic

  5. Summary of Findings • Person trip rates for respondent 25 to 45 % higher than proxy; for diary 58-95% higher than proxy • When stratified by age cohorts, rates for respondent and diary consistently higher than proxy • No significant difference in male vs. female rates • Significant under-reporting of adults represented by proxy

  6. RIO GRANDE VALLEY Comparison of Trip Rates by Retrieval Method AUSTIN AMARILLO

  7. Summary of Findings • Appears to be a tendency to over-report HBW trips and under-report HBNW and NHB • Potential impact of this on TDMs and estimates of total travel is significant • Trip rates essentially the same for the three areas for each method of data retrieval • Implies raw survey data may be combined between urban areas and weighted to represent local conditions • Analysis of Houston HH survey data reveals same general findings on person trip rates in relation to retrieval method

  8. Comparison of Trip Rates by Purpose by Retrieval Method Results/Trends Similar for All Areas RIO GRANDE VALLEY RIO GRANDE VALLEY RIO GRANDE VALLEY

  9. Recommendations For Texas Travel Survey Program • Allow no more than 20 percent of individuals over age 15 to be represented by proxy • Modify HH survey analyses to include development of adjustment rates by age cohort and purpose for proxy individuals • Research to examine combining unweighted HH surveys from different areas to develop trip rates for areas without HH surveys

  10. QUESTIONS Ed Hard (979) 845-8539 e-hard@tamu.edu David Pearson (979) 845-9933 d-pearson@tamu.edu

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