In 2011, the Ohio Department of Transportation (ODOT) and the Northeast Ohio Areawide CoordinatingAgency (NOACA) spearheaded the second large‐scale GPS‐based household travel survey conducted inthe United States. The survey covered the five counties in and around Cleveland, OH that comprise theplanning area of NOACA. Of the 6,542 households recruited into the Cleveland GPS‐based travel survey,4,001 households were asked only to return their GPS devices after use (with no additional participationrequirement). Of the remaining 2,541 recruited households, 1,940 were asked to complete a promptedrecall (PR) survey based on recorded GPS data while the other 601 households (which were comprisedentirely of household members over the age of 75) were provided with simple travel logs to use forrecording and reporting travel. All GPS households were asked to use the GPS devices for a minimum ofthree consecutive days (with at least two weekdays), resulting in the collection of 108,441 GPS tripscovering 708,557 miles. Regularly visited locations were collected by the survey research firm duringthe recruitment interview, and were leveraged along with recorded GPS traces and land use data toassign trip purpose, mode, and travel costs to GPS‐Only households based on a probabilistic ‘best fit’.The algorithms were calibrated by PR participant responses. This paper starts with an in‐depth overviewof the survey design and concludes with a review of several spatial analyses conducted by NOACAtransportation planners using the collected GPS dataset.
展开▼
