By inferring individual passengers’ origins, destinations, and transfers using automatically collected transit data, transit providers can obtain and analyze larger volumes of information, with more accuracy, and at more frequent intervals than are available through traditional origin-destination (OD) surveys. Automatic...
The research leading to this thesis was developed over a three-year period during which I had the advice and guidance of a number of people who will be thanked below. During this time, the research was partially funded by the...
With the growing adoption of automatic data collection systems (ADCS), transit providers can now collect volumes of data on their operations and their customers’ behavior. The use of automated fare collection (AFC) systems, by collecting fares electronically and storing the...
This chapter details the updating required to infer origins and destinations (OD) from automated fare collection (AFC) and other automatically collected data sources provided by the MBTA using the inference software package developed in Gordon (2012). For a detailed explanation...
Following an explanation of the methodology to automatically infer origins and destinations, this chapter positions this research within the context of transportation and transit equity analysis in the USA. First is presented a history of transportation equity regulations in the...
Following the discussion of the selection of indicators in Chapter 3, this chapter describes the data used and the processing required to generate the information input to the spatial analysis described in Chapter 5. In order to compare transit outcomes...
This chapter discusses the results of an analysis of the spatial variation of public transit travel times and speeds between White and Black commuters using the MBTA in the Boston Metropolitan area. This example analysis demonstrates how the use of...
Conclusion The methods presented in this thesis have demonstrated the processing the utility of inferred origins, destinations, and transfers (ODX) from AFC data as input into the analysis of the spatial variation of public transit service. Using a month of...
Barry, J. J., Freimer, R., & Slavin, H. (2009). Use of Entry-Only Automatic Fare Collection Data to Estimate Linked Transit Trips in New York City. Transportation Research Record: Journal of the Transportation Research Board, 2112(-1), 53–61. doi:10.3141/2112-07 Bills, T. S....