INNOVATION AND INCREMENTAL IMPROVEMENT IN BUS TRANSIT PASSENGER DATA COLLECTION. FINAL REPORT
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The overall objectives of the research are: 1) to indentify the potential for innovation and for incremental improvement in bus transit passenger data collection, and 2) to develop and test data collection and processing methodologies to five transit managers and operators the ability to make needed improvements. The literature review showed little application of modern statistical sampling techniques to bus passenger data until 1977. The three key applications of statistics since then are documented in some detail. The focus of the research was on data collection techniques for both total passengers and the Section 15 passenger service consumed reporting requirements. An inventory of 58 transit properties in the United States with 100 or more peak hour buses showed a wide range of techniques being used to collect both total passenger and Section 15 data. Classification schemes for total passenger and Section 15 data collection procedures were developed and prototypical transit properties identified in each major class. Application of statistical sampling theory to evaluate alternative sampling plans for the prototypical properties showed substantial potential for improvements in accurancy or reductions in data collection and processing costs or both. The results of the analysis of the prototypical total passenger data collection procedures were used to develop an evaluation methodology to aid transit managers in selecting an improved data collection procedure for their property. A final case study illustrated the potential for integrating Section 15 with a regular total passenger counting program.